Compare GLM-5.1 and GLM-5.2: 1M Context Expansion & Frontier Reasoning
GLM-5.1 vs GLM-5.2: which should I use?
Upgrade GLM-5.1 deployments to GLM-5.2 only when the immutable model revision, weight and tokenizer identity, runtime, long-context evidence, and rollback artifact are joined. Keep hosted and self-hosted observations separate. Do not infer a quality or latency win from the version label alone; validate each deployment surface independently. Verified 2026-09-02; unresolved mirrors, memory, and generation parity remain Unavailable.
Verified 2026-09-02
Where can you find price, speed, and task evidence for GLM-5.1 and GLM-5.2?
Which tasks fit GLM-5.1 and GLM-5.2?
Best-fit task signals from the published model strengths; this is not a substitute for a controlled benchmark.
| Fact | GLM-5.1 | GLM-5.2 |
|---|---|---|
| Best fit | Legacy GLM coding tasks superseded by GLM-5.2. | Long-horizon coding on open weights at a fraction of frontier pricing. |
| Reasoning mode | Unavailable | Available |
What does a Coding Agent workload cost with GLM-5.1 and GLM-5.2?
Modeled for Coding Agent: 20,000 input + 2,000 output tokens per task, 1 turn. This is a workload model, not a provider quote.
| Fact | GLM-5.1 | GLM-5.2 |
|---|---|---|
| Coding Agent / task | $0.02 (modeled) (winner) | $0.04 (modeled) |
| Input / output rate | $0.60 / $2.20 per M | $1.40 / $4.40 per M |
How fast are GLM-5.1 and GLM-5.2?
Only non-estimated benchmark results are shown as measured.
| Fact | GLM-5.1 | GLM-5.2 |
|---|---|---|
| Measured throughput | Unavailable | Unavailable |
| Time to first token | Unavailable | Unavailable |
How compatible are GLM-5.1 and GLM-5.2 with APIs?
Provider-level wire-format and SDK facts; model-specific parameter differences may still apply.
| Fact | GLM-5.1 | GLM-5.2 |
|---|---|---|
| OpenAI SDK | Usable | Usable |
| Request shape | OpenAI-compatible chat/completions endpoint at api.z.ai/api/paas/v4. | OpenAI-compatible chat/completions endpoint at api.z.ai/api/paas/v4. |
| Streaming | SSE (OpenAI delta) | SSE (OpenAI delta) |
What are the privacy and retention policies for GLM-5.1 and GLM-5.2?
Provider policy and residency facts from the verified provider registry. A missing retention policy is not treated as a guarantee.
| Fact | GLM-5.1 | GLM-5.2 |
|---|---|---|
| Provider says API data trains models | Unavailable | Unavailable |
| Published retention period | Unavailable | Unavailable |
| Data residency | Unavailable | Unavailable |
How much effort does it take to migrate between GLM-5.1 and GLM-5.2?
Direction is from each displayed model to the other. Effort is derived from provider compatibility and published parameter maps.
| Fact | GLM-5.1 | GLM-5.2 |
|---|---|---|
| Move GLM-5.1 → GLM-5.2 | drop-in; 0 breaking parameter differences | Target: GLM-5.2 |
| Move GLM-5.2 → GLM-5.1 | Source: GLM-5.2 | drop-in; 0 breaking parameter differences |
| Why | Same provider; only the model identifier changes. | Same provider; only the model identifier changes. |
Batch 54 · exact pair cutover and operating-tier contributions. Surface verification: 2026-09-02. These exactly three boards are server-rendered from frozen scenario fixtures; assumptions and unavailable joins are not observations.
Exact pair boundary: Z.ai; hosted ID, immutable revision, weight checksum, tokenizer, and runtime must be joined. Requested models are glm-5.1 and glm-5.2. Provider, rate, pricing, and task pages remain fact owners.
GLM artifact-and-runtime compatibility manifest
Frozen Batch 54 scenario board. Formula / deterministic rule: compatible = revision + checksum + license + tokenizer + runtime/kernel + memory join; unresolved identity => reject Boundary: Exact GLM 5.1-to-5.2 artifact cutover; model pages retain standalone facts and tutorials retain commands.
| Frozen scenario / field ID | Pair, host, surface, and evidence fields | Result | State |
|---|---|---|---|
batch54-glm-5-1-vs-glm-5-2-m1-r1official hosted ID | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; Z.ai API / self-hosted runtime / Z.ai API / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; artifact=hosted-001; revision=provider ID; revision and lifecycle=required; hosted response ID=required; pricing/rate period=dated; evidence=2026-09-02 | Admit hosted comparison only when provider revision and response ID agree. | CONDITIONAL — revision join |
batch54-glm-5-1-vs-glm-5-2-m1-r2full-precision weights | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; self-hosted runtime / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; artifact=fp-002; license=required; weight checksum=required; license source=required; tokenizer hash=required; runtime version=required; evidence=2026-09-02 | Unavailable — immutable checksum and tokenizer join are absent | UNAVAILABLE — artifact identity |
batch54-glm-5-1-vs-glm-5-2-m1-r38-bit quantization | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; self-hosted runtime / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; artifact=int8-003; quantization recipe/checksum=required; kernel/runtime=required; memory estimate=required; result hash=missing; evidence=2026-09-02 | Unavailable — quantized runtime compatibility is not evidenced | UNAVAILABLE — int8 runtime |
batch54-glm-5-1-vs-glm-5-2-m1-r44-bit quantization | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; self-hosted runtime / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; artifact=int4-004; quantization checksum=required; tokenizer hash=required; memory estimate=required; quality result=missing; evidence=2026-09-02 | Unavailable — quality and memory observations are absent | UNAVAILABLE — int4 evidence |
batch54-glm-5-1-vs-glm-5-2-m1-r5unsupported runtime | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; self-hosted runtime / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; artifact=runtime-005; kernel=unsupported; runtime/kernel version=unsupported; weight checksum=known; license=known; memory=unknown; evidence=2026-09-02 | Reject the artifact/runtime combination; known weights do not make an unsupported kernel compatible. | BLOCKED — runtime unsupported |
batch54-glm-5-1-vs-glm-5-2-m1-r6unknown mirror | pair=glm-5.1 vs glm-5.2; provider/host/surface=mirror host / mirror host; mirror runtime / mirror runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; artifact=mirror-006; origin=unknown; mirror checksum=unknown; license=unknown; tokenizer=unknown; effective revision=unknown; evidence=2026-09-02 | Reject an unknown mirror until origin, checksum, license, and tokenizer are resolved. | REJECTED — identity unknown |
First-party provenance: Z.ai GLM model documentation; verification date 2026-09-02. Missing or conflicting joins fail closed.
Long-context generation parity receipt
Frozen Batch 54 scenario board. Formula / deterministic rule: parity = same tokenizer/input reserve/runtime/config + paired output/judge evidence; documented window alone => no verdict Boundary: Exact GLM generation evidence only; context-window claims cannot become quality, throughput, or memory observations.
| Frozen scenario / field ID | Pair, host, surface, and evidence fields | Result | State |
|---|---|---|---|
batch54-glm-5-1-vs-glm-5-2-m2-r132K code | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; Z.ai API / self-hosted runtime / Z.ai API / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; cohort=glm-context-001; tokenizer hash=required; input/output/reasoning reserve=declared; runtime/config hashes=paired; test rubric=required; evidence=2026-09-02 | Unavailable — paired generation result and acceptance rubric are missing | UNTESTED — code parity |
batch54-glm-5-1-vs-glm-5-2-m2-r2180K repository | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; self-hosted runtime / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; cohort=glm-context-002; artifact=repo-002; repository hash=repo-002; retrieval depth=required; tokenizer/runtime=paired; memory status=required; evidence=2026-09-02 | Unavailable — retrieval and memory observations are not joined | UNAVAILABLE — repository evidence |
batch54-glm-5-1-vs-glm-5-2-m2-r3250K document | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; Z.ai API / self-hosted runtime / Z.ai API / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; cohort=glm-context-003; document hash=doc-003; input/output/reasoning reserve=required; citation rubric=required; result hash=missing; evidence=2026-09-02 | Unavailable — document result and reserve accounting are absent | UNAVAILABLE — document parity |
batch54-glm-5-1-vs-glm-5-2-m2-r4800K corpus | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; self-hosted runtime / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; cohort=glm-context-004; corpus hash=corpus-004; tokenizer=required; retrieval depth=required; throughput/memory=required; evidence=2026-09-02 | Unavailable — usable corpus recall and throughput are not observed | UNAVAILABLE — corpus parity |
batch54-glm-5-1-vs-glm-5-2-m2-r5tool-augmented agent | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; Z.ai API / self-hosted runtime / Z.ai API / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; cohort=glm-context-005; tool/result IDs=required; prompt/config/runtime hashes=paired; schema=required; side_effects=contained; evidence=2026-09-02 | Unavailable — paired tool trace and acceptance are absent | UNAVAILABLE — agent parity |
batch54-glm-5-1-vs-glm-5-2-m2-r6over-cap | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; Z.ai API / self-hosted runtime / Z.ai API / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; cohort=glm-context-006; input exceeds documented cap; segmentation=required; tokenizer=required; output reserve=declared; evidence=2026-09-02 | Reject or segment explicitly; never infer support from the advertised window. | REJECTED — over cap |
First-party provenance: Z.ai GLM model documentation; verification date 2026-09-02. Missing or conflicting joins fail closed.
Hosted-and-self-hosted promotion board
Frozen Batch 54 scenario board. Formula / deterministic rule: promote = surface-labelled artifact + sample floor + quality/schema/tool/latency/memory gates + rollback artifact Boundary: Hosted and self-hosted observations cannot be mixed; this board does not rank open models broadly.
| Frozen scenario / field ID | Pair, host, surface, and evidence fields | Result | State |
|---|---|---|---|
batch54-glm-5-1-vs-glm-5-2-m3-r1hosted shadow | pair=glm-5.1 vs glm-5.2; provider/host/surface=api.z.ai / api.z.ai; Z.ai API / self-hosted runtime / Z.ai API / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; stage=promotion-001; traffic owner=required; exact hosted IDs=required; prompt/config hashes=paired; sample floor=declared; evidence=2026-09-02 | Unavailable — hosted shadow observations are missing | HOLD — hosted shadow |
batch54-glm-5-1-vs-glm-5-2-m3-r2single-GPU canary | pair=glm-5.1 vs glm-5.2; provider/host/surface=self-hosted GPU / self-hosted GPU; self-hosted runtime / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; stage=promotion-002; artifact=immutable; GPU/runtime/kernel=required; artifact IDs=immutable; memory/latency gates=declared; rollback=required; evidence=2026-09-02 | Unavailable — single-GPU candidate telemetry is absent | HOLD — GPU canary |
batch54-glm-5-1-vs-glm-5-2-m3-r3multi-GPU canary | pair=glm-5.1 vs glm-5.2; provider/host/surface=self-hosted cluster / self-hosted cluster; distributed runtime / distributed runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; stage=promotion-003; cluster=required; cluster topology=required; artifact IDs=immutable; throughput/memory gates=declared; result hash=missing; evidence=2026-09-02 | Unavailable — cluster telemetry and paired acceptance are not joined | HOLD — cluster evidence |
batch54-glm-5-1-vs-glm-5-2-m3-r4quantized canary | pair=glm-5.1 vs glm-5.2; provider/host/surface=self-hosted GPU / self-hosted GPU; quantized runtime / quantized runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; stage=promotion-004; checksum=required; quantization/checksum/kernel=required; quality/schema gates=declared; rollback artifact=required; evidence=2026-09-02 | Unavailable — quantized quality and rollback observations are absent | HOLD — quantized gate |
batch54-glm-5-1-vs-glm-5-2-m3-r5runtime regression | pair=glm-5.1 vs glm-5.2; provider/host/surface=self-hosted runtime / self-hosted runtime; runtime / runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; stage=promotion-005; baseline/candidate runtime hashes=required; failure class=required; memory/latency gates=required; evidence=2026-09-02 | Keep the prior artifact when a critical runtime regression occurs; do not transfer hosted evidence. | ROLLBACK — surface-local |
batch54-glm-5-1-vs-glm-5-2-m3-r6artifact rollback | pair=glm-5.1 vs glm-5.2; provider/host/surface=self-hosted runtime / self-hosted runtime; self-hosted runtime / self-hosted runtime; requested IDs=glm-5.1,glm-5.2; effective IDs=glm-5.1,glm-5.2; stage=promotion-006; immutable rollback checksum=required; state/artifact hashes=required; attempt cap=2; operator=required; evidence=2026-09-02 | Rollback only to the immutable, license-qualified baseline artifact and route unresolved cases to an operator. | CONDITIONAL — rollback proof |
First-party provenance: Z.ai GLM model documentation; verification date 2026-09-02. Missing or conflicting joins fail closed.
Method and limitations: formulas are deterministic; assumptions are labeled; no missing provider, host, account, region, realm, cluster, alias, snapshot, version, artifact, effort, tool, modality, benchmark, workload, rate-period, timestamp, or result is transferred. Run the glm-5-1-vs-glm-5-2 Batch 54 scenario →
Batch 69 · exact-pair decision contributions · verified 2026-09-08
Exact pair boundary: Z.ai; same provider, generational upgrade, $0.60/$2.20 vs $1.40/$4.40 tariffs, 128K to 1M context expansion must join. Requested models are glm-5.1 and glm-5.2. Provider, rate, pricing, and task pages remain fact owners.
Generational token pricing and workload expenditure matrix
Frozen Batch 69 scenario board. Formula / deterministic rule: monthly_spend = calls * ((in_tokens * rate_in + out_tokens * rate_out) / 1M) Boundary: Owns base token tariff comparisons and upgrade budgeting.
| Frozen scenario / field ID | Pair, identity, host, surface, and evidence fields | Result | State |
|---|---|---|---|
batch69-glm-5-1-vs-glm-5-2-m1-r120K bilingual contract evaluations | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=20K bilingual contract evaluations; workload; prompt tokens; completion tokens; GLM-5.1 spend; GLM-5.2 spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — 20K bilingual contract evaluations is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m1-r250K automated data extractions | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=50K automated data extractions; workload; prompt tokens; completion tokens; GLM-5.1 spend; GLM-5.2 spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — 50K automated data extractions is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m1-r3100K customer support inquiries | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=100K customer support inquiries; workload; prompt tokens; completion tokens; GLM-5.1 spend; GLM-5.2 spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — 100K customer support inquiries is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m1-r4prompt caching active (50% discount both) | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=prompt caching active (50% discount both); workload; prompt tokens; completion tokens; GLM-5.1 spend; GLM-5.2 spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — prompt caching active (50% discount both) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m1-r5batch processing active (50% both) | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=batch processing active (50% both); workload; prompt tokens; completion tokens; GLM-5.1 spend; GLM-5.2 spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — batch processing active (50% both) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m1-r6unresolved pricing currency | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=unresolved pricing currency; workload; prompt tokens; completion tokens; GLM-5.1 spend; GLM-5.2 spend; budget delta; cost winner; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — unresolved pricing currency has no matched, dated bilateral observation. | FAIL CLOSED — manual, probe, or source evidence required |
First-party provenance: Z.ai GLM API pricing; verification date 2026-09-08. Missing or conflicting joins fail closed.
Context window expansion (128K to 1M) capability gate
Frozen Batch 69 scenario board. Formula / deterministic rule: eligible = (context <= 128K ? Both : (context <= 1M ? GLM5_2 : Excluded)) Boundary: Owns context scaling and capability gating for large enterprise archives.
| Frozen scenario / field ID | Pair, identity, host, surface, and evidence fields | Result | State |
|---|---|---|---|
batch69-glm-5-1-vs-glm-5-2-m2-r1short business correspondence (10K tokens) | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=short business correspondence (10K tokens); context size; GLM-5.1 eligible; GLM-5.2 eligible; GLM-5.1 cost; GLM-5.2 cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — short business correspondence (10K tokens) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m2-r2comprehensive legal agreement (80K tokens) | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=comprehensive legal agreement (80K tokens); context size; GLM-5.1 eligible; GLM-5.2 eligible; GLM-5.1 cost; GLM-5.2 cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — comprehensive legal agreement (80K tokens) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m2-r3maximum GLM-5.1 context (128K boundary) | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=maximum GLM-5.1 context (128K boundary); context size; GLM-5.1 eligible; GLM-5.2 eligible; GLM-5.1 cost; GLM-5.2 cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — maximum GLM-5.1 context (128K boundary) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m2-r4enterprise knowledge base dump (500K tokens) | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=enterprise knowledge base dump (500K tokens); context size; GLM-5.1 eligible; GLM-5.2 eligible; GLM-5.1 cost; GLM-5.2 cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — enterprise knowledge base dump (500K tokens) is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m2-r51M full context saturation test | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=1M full context saturation test; context size; GLM-5.1 eligible; GLM-5.2 eligible; GLM-5.1 cost; GLM-5.2 cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — 1M full context saturation test is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m2-r6unsupported document format | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=unsupported document format; context size; GLM-5.1 eligible; GLM-5.2 eligible; GLM-5.1 cost; GLM-5.2 cost; context gate verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — unsupported document format has no matched, dated bilateral observation. | FAIL CLOSED — manual, probe, or source evidence required |
First-party provenance: Z.ai GLM documentation; verification date 2026-09-08. Missing or conflicting joins fail closed.
Bilingual Chinese/English translation and reasoning accuracy gate
Frozen Batch 69 scenario board. Formula / deterministic rule: roi = translation_fidelity_score - migration_cost_overhead; benchmark verification Boundary: Owns bilingual synthesis quality and cross-border commercial accuracy.
| Frozen scenario / field ID | Pair, identity, host, surface, and evidence fields | Result | State |
|---|---|---|---|
batch69-glm-5-1-vs-glm-5-2-m3-r1technical whitepaper Chinese-to-English translation | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=technical whitepaper Chinese-to-English translation; evaluation domain; GLM-5.1 score; GLM-5.2 score; accuracy gain; deployment recommendation; capability verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — technical whitepaper Chinese-to-English translation is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m3-r2cross-border cross-lingual regulatory audit | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=cross-border cross-lingual regulatory audit; evaluation domain; GLM-5.1 score; GLM-5.2 score; accuracy gain; deployment recommendation; capability verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — cross-border cross-lingual regulatory audit is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m3-r3bilingual code synthesis with Chinese docstrings | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=bilingual code synthesis with Chinese docstrings; evaluation domain; GLM-5.1 score; GLM-5.2 score; accuracy gain; deployment recommendation; capability verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — bilingual code synthesis with Chinese docstrings is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m3-r4high-speed conversational dialogue | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=high-speed conversational dialogue; evaluation domain; GLM-5.1 score; GLM-5.2 score; accuracy gain; deployment recommendation; capability verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — high-speed conversational dialogue is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m3-r5syntax error hallucination penalty | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=syntax error hallucination penalty; evaluation domain; GLM-5.1 score; GLM-5.2 score; accuracy gain; deployment recommendation; capability verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — syntax error hallucination penalty is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch69-glm-5-1-vs-glm-5-2-m3-r6unsupported dialect translation | pair=glm-5.1 vs glm-5.2; provider=Z.ai; hostA=open.bigmodel.cn; hostB=open.bigmodel.cn; surfaceA=Z.ai API; surfaceB=Z.ai API; requested/effective IDs=glm-5.1,glm-5.2; scenario=unsupported dialect translation; evaluation domain; GLM-5.1 score; GLM-5.2 score; accuracy gain; deployment recommendation; capability verdict; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-08; measurement versus assumption=explicit | Unavailable — unsupported dialect translation has no matched, dated bilateral observation. | FAIL CLOSED — manual, probe, or source evidence required |
First-party provenance: Z.ai GLM documentation; verification date 2026-09-08. Missing or conflicting joins fail closed.
Method and limitations: formulas are deterministic; observed and assumed inputs are labeled; no missing provider, host, account, region, realm, alias, snapshot, revision, weight, artifact, control, tool, modality, workload, rate-period, timestamp, or result is transferred. Run the glm-5-1-vs-glm-5-2 Batch 69 scenario →
How do GLM-5.1 and GLM-5.2 compare on specs?
| GLM-5.1 | GLM-5.2 | |
|---|---|---|
| Price (input) | $0.60/M ✓ | $1.40/M |
| Price (output) | $2.20/M ✓ | $4.40/M |
| Blended price | $1.00/M ✓ | $2.15/M |
| Context window | 128,000 tokens | 1,000,000 tokens ✓ |
| Max output | 8,192 tokens | 64,000 tokens ✓ |
| Modalities | text | text |
| Reasoning mode | No | Yes |
| Released | 2025-11 | 2026-05 |
| Speed | Not measured | Not measured |
How much do GLM-5.1 and GLM-5.2 cost at scale?
| Tokens / month | GLM-5.1 | GLM-5.2 | Delta |
|---|---|---|---|
| 1,000,000 | $1.00 | $2.15 | $1.15 (2.1×) |
| 10,000,000 | $10.00 | $21.50 | $11.50 (2.1×) |
| 100,000,000 | $100.00 | $215.00 | $115.00 (2.1×) |
Choose GLM-5.1 if…
- ✓Z.ai coding-focused model
- ✓Open weights
- ✓Low latency
- ✓Legacy GLM coding tasks superseded by GLM-5.2.
Choose GLM-5.2 if…
- ✓Open-weights coding-first flagship
- ✓1M-token context window
- ✓Beats larger frontier models on long-horizon coding
- ✓Long-horizon coding on open weights at a fraction of frontier pricing.
Run this exact matchup right now
Send the same prompt to GLM-5.1 and GLM-5.2 side by side and see the outputs yourself.
Try GLM-5.1 vs GLM-5.2 FreeWhat are common questions about GLM-5.1 and GLM-5.2?
Is GLM-5.1 cheaper than GLM-5.2?
GLM-5.1 is cheaper, at $1.00 per million blended tokens vs $2.15 for GLM-5.2.
Which has the bigger context window, GLM-5.1 or GLM-5.2?
GLM-5.2 has the larger context window: 1,000,000 tokens vs 128,000.
Can GLM-5.1 replace GLM-5.2 for coding?
Both are viable for coding. Z.ai coding-focused model (GLM-5.1) vs Open-weights coding-first flagship (GLM-5.2) — pick based on which strength matters more for your workload.
Neither of these? See GLM-5.2 alternatives.
What related comparisons help choose between GLM-5.1 and GLM-5.2?
Pricing verified 2026-06-19. Specs verified 2026-08-14.