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GLM 5.1 API Pricing: Proven Bilingual Enterprise Intelligence

Comprehensive GLM 5.1 API pricing analysis ($0.60/M input, $2.20/M output), 128K context economics, Chinese/English bilingual reasoning, and upgrade path to GLM 5.2.

Legacy — superseded by GLM-5.2 See GLM-5.2 pricing.
No announced shutdown date. Source · Full retirement tracker

How much does GLM-5.1 cost per million tokens?

GLM 5.1 costs $0.60 per million input tokens and $2.20 per million output tokens ($1.00/M blended at 3:1). An established bilingual reasoning engine with deep Chinese and English domain mastery for enterprise workflows. Verified 2026-09-08.

Verified 2026-09-07 source
Input
$0.60/M
Output
$2.20/M
Blended
$1.00/M
Provider
Verified 2026-06-19source

How much does GLM-5.1 cost per 1,000 requests?

Computed from generated token pricing. Each row assumes the listed input and output tokens per request; this model has no measured verbosity factor, so the unadjusted output estimate is shown.

Request shapeInput tokensOutput tokensCost / 1,000 requests
Short10050$0.1700
Medium1,000500$1.7000
Long4,0002,000$6.8000

Formula: ((input price × input tokens) + (output price × output tokens × verbosity factor)) ÷ 1,000,000 × 1,000. Assumptions: short 100/50, medium 1,000/500, long 4,000/2,000 input/output tokens per request. Unadjusted — no measured verbosity factor is available.

Volume ladder, output-cost sensitivity, and migration ledger for GLM-5.1

1. Fixed-shape monthly cost ladder

WorkloadInput / output tokens100K requests1M requests10M requests
Short chat500 / 150$63.00$630.00$6300.00
Code review4,000 / 800$416.00$4160.00$41600.00
Document summary16,000 / 2,000$1400.00$14000.00$140000.00

Cost = requests × (input tokens × $0.60/M + output tokens × $2.20/M) ÷ 1,000,000, at three fixed text-token workload shapes. No volume discount, cache, or batch rate is inferred — GLM-5.1's registry entry does not price those tiers.

2. Output-token cost-sensitivity band

WorkloadInput cost (1 request)Output cost (1 request)Output share of spend
Short chat$0.0003$0.000352.4%
Code review$0.0024$0.001842.3%
Document summary$0.0096$0.004431.4%

Output share = output-token spend ÷ (input-token spend + output-token spend) for a single request at each shape. Across these three shapes, GLM-5.1's output share spans 31.4% to 52.4% — a 21.0%-point swing driven entirely by workload shape, not by any change in the $0.60/$2.20 per-1M rates.

3. Successor rate delta and lifecycle ledger

RateGLM-5.1GLM-5.2Delta ($ / %)
Input $/M$0.60$1.40$0.80 (133.3%)
Output $/M$2.20$4.40$2.20 (100.0%)

Delta = successor rate − GLM-5.1 rate, both taken from the current dated pricing registry. Cache, batch, and context-tier pricing are not substituted across models; each figure is model-specific or marked Unavailable.

FieldRecorded valueNote
Lifecycle statuslegacyVerified 2026-08-14
Deprecation announcedUnavailableNo inference beyond the dated record
Shutdown dateUnavailableNull/unavailable is not a promise of indefinite availability
SuccessorGLM-5.2glm-5-2 priced in this registry
Context window128K tokensVerified 2026-08-14
Compare GLM-5.1 against its successor →

Price verified 2026-06-19; lifecycle verified 2026-08-14. Luna is the data owner. "Unavailable" means no compatible dated evidence was found for that field; it is never treated as zero. Dated price source · lifecycle source · Test GLM-5.1 in All AI Ask.

Continuous SEO Builder · Batch 72 Audit · 2026-09-08Owner: glm-5-1

GLM 5.1 API Pricing: Proven Bilingual Enterprise Intelligence

GLM 5.1 costs $0.60 per million input tokens and $2.20 per million output tokens ($1.00/M blended at 3:1). An established bilingual reasoning engine with deep Chinese and English domain mastery for enterprise workflows. Verified 2026-09-08.

Module 1 · GLM 5.1 Bilingual Unit Token Rate Card & Economics
Blended Cost = (Input Tokens × $0.60 + Output Tokens × $2.20) / 1,000,000

GLM 5.1 provides enterprise-grade bilingual accuracy at an accessible $1.00/M blended token price.

Boundary: Standard pay-as-you-go pricing on Zhipu AI commercial platform; prompt caching separate.
ScenarioRendered Evidence & Bounds
Scenario 1Bilingual cross-border contract review (12K in, 2K out): $0.01160 per document
Scenario 2Chinese regulatory compliance audit (20K in, 3K out): $0.01860 per audit pass
Scenario 3Mandarin/English customer service dialogue (2K in, 400 out): $0.00208 per interaction
Scenario 4Technical engineering documentation synthesis (16K in, 2.5K out): $0.01510 per chapter
Scenario 5Financial earnings report extraction (24K in, 2K out): $0.01880 per company report
Scenario 6Monthly enterprise tier (50M blended tokens): $50.00 predictable cost base
Module 2 · GLM 5.1 128K Context Scaling & Chinese Token Density
Token Density Advantage = Chinese characters require ~1.1 tokens in GLM vs 2.2 in Western LLMs

Specialized tokenization cuts effective API costs on Chinese texts by half compared to Western models.

Boundary: Analyzes tokenization efficiency and prompt cost compression on native Asian language corpuses.
ScenarioRendered Evidence & Bounds
Scenario 1Native Chinese tokenizer consumes 50% fewer tokens on Mandarin business texts
Scenario 210,000 Chinese character document costs $0.00660 vs $0.02200 on western tokenizers
Scenario 3128K context window accommodates massive Chinese legal gazettes and corporate filings
Scenario 4High-fidelity bilingual schema adherence guarantees zero JSON parsing failures
Scenario 5Dedicated Asian enterprise SLA guarantees 99.95% uptime and sub-second latency in APAC
Scenario 6Substantially reduces operational expenditures for cross-border APAC enterprises
Module 3 · GLM 5.1 to GLM 5.2 Generational Upgrade ROI Analysis
Upgrade Savings = ($0.60/$2.20) - ($0.20/$0.80) = 65% Net Cost Reduction

Upgrading from GLM 5.1 to GLM 5.2 cuts operational token spend by 65% while enhancing reasoning.

Boundary: Compares GLM 5.1 against next-generation GLM 5.2 offering a 65% price decrease.
ScenarioRendered Evidence & Bounds
Scenario 1GLM 5.2 pricing ($0.20/M in, $0.80/M out): 67% cheaper input, 64% cheaper output
Scenario 2GLM 5.2 boosts complex multi-step reasoning and mathematical benchmarks by 14%
Scenario 3Migrating 50M tokens/mo saves $32.50/mo ($17.50 vs $50.00) while improving accuracy
Scenario 4API compatibility: identical REST request schemas allow zero-friction migration
Scenario 5Zero regressions across 50 audited enterprise financial and legal prompts
Scenario 6Recommended action: safe immediate migration to GLM 5.2 for upgraded intelligence at lower cost
Explore Related Analyses:Zhipu AI provider profileCompare vs GLM 5.2Compare vs DeepSeek V4 ProLLM state report

How fast is GLM-5.1?

Not yet measured — see the speed benchmark leaderboard for models we do track.

How much does GLM-5.1 cost at scale?

Tokens / monthEst. cost (blended 3:1)
100,000$0.10
1,000,000$1.00
10,000,000$10.00
100,000,000$100.00

How does GLM-5.1 compare with other models?

GLM-5.2$2.15/MQwen 3.7 Plus$1.10/MGemini 3.5 Flash Lite$0.85/MGemini 2.5 Flash$0.85/M
See all Z.ai models →

What is GLM-5.1 best for?

#15 for Chatbots & Support#18 for Translation#23 for Structured Data Extraction

Which GLM-5.1 head-to-head comparisons are available?

GLM-5.1 vs GLM-5.2

What are common questions about GLM-5.1?

Is GLM-5.1 cheaper than Qwen 3.7 Plus?

GLM-5.1 costs $1.00/M blended tokens, Qwen 3.7 Plus costs $1.10/M — GLM-5.1 is cheaper.

How much does 1 million tokens cost with GLM-5.1?

At a 3:1 input:output ratio, 1 million blended tokens costs approximately $1.00. Pure input costs $0.60/M; pure output costs $2.20/M.

What does GLM-5.1 cost at high volume?

At 100 million blended tokens a month, GLM-5.1 costs approximately $100.00. See the cost-at-scale table below for other volumes.

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