GPT-5.6 Terra API Pricing: Enterprise Frontier Scale and Reliability
Comprehensive GPT-5.6 Terra API pricing analysis ($2.50/M input, $15.00/M output), structured enterprise SLAs, reasoning stability, and batch processing economics.
Full specs, context window and API limits →How much does GPT-5.6 Terra cost per million tokens?
GPT-5.6 Terra costs $2.50 per million input tokens and $15.00 per million output tokens ($5.625/M blended at 3:1). OpenAI dedicated enterprise workhorse engineered for high-reliability business automation, structured schema compliance, and massive daily throughput. Verified 2026-09-08.
How much does GPT-5.6 Terra 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 shape | Input tokens | Output tokens | Cost / 1,000 requests |
|---|---|---|---|
| Short | 100 | 50 | $1.0000 |
| Medium | 1,000 | 500 | $10.0000 |
| Long | 4,000 | 2,000 | $40.0000 |
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.
Three model-specific pricing decisions
Terra is evaluated as the middle tier: the tables expose the accepted-result uplift required to move down to Luna or up to Sol without importing either model’s separate page verdict.
1. Luna-to-Terra accepted-result crossover
| Fixed workload | GPT-5.6 Terra | GPT-5.6 Luna | Boundary |
|---|---|---|---|
| Coding | $2500.00 | $1000.00 | 20% accepted-result uplift needed to justify premium |
| Writing | $2625.00 | $1050.00 | 15% accepted-result uplift needed to justify premium |
| Agent loop | $3800.00 | $1520.00 | 25% accepted-result uplift needed to justify premium |
Formula: calls × (input tokens × input $/M + output tokens × output $/M) ÷ 1,000,000. The uplift threshold is a decision input, not a measured quality claim.
Terra-to-Sol boundary
| Fixed workload | GPT-5.6 Terra | GPT-5.6 Sol | Boundary |
|---|---|---|---|
| Coding | $2500.00 | $3600.00 | 10% accepted-result uplift needed to justify premium |
| Writing | $2625.00 | $3600.00 | 10% accepted-result uplift needed to justify premium |
| Agent loop | $3800.00 | $5600.00 | 15% accepted-result uplift needed to justify premium |
Formula: calls × (input tokens × input $/M + output tokens × output $/M) ÷ 1,000,000. The uplift threshold is a decision input, not a measured quality claim.
2. Prompt-cache, batch, and verbosity sensitivity
| Mechanic | Dated input | 100K-call result / boundary |
|---|---|---|
| List input/output | $2.50 / $15.00 per M | $1125.00 |
| Verbosity | No dated Terra-specific multiplier | Unavailable — toggle remains explicit |
| Prompt cache | 10% read; 125% write; 1800s TTL | Apply only to eligible repeated prefixes |
| Batch | Scenario only: 50% output | $862.50 |
3. Mixed Luna/Terra allocation versus all-Terra
| Allocation | Coding / 100K | Writing / 100K | Agent / 100K | Decision |
|---|---|---|---|---|
| 100% Terra | $2500.00 | $2625.00 | $3800.00 | Baseline |
| 70% Terra / 30% Luna | $2050.00 | $2152.50 | $3116.00 | Price-only mix; quality uplift unavailable |
Verified 2026-08-14. Luna is the data owner for this rendered decision module. “Unavailable” means the current dated registry has no model-specific evidence; it is not a zero. First-party price source · Run this scenario in the playground.
All results are server-rendered for GPT-5.6 Terra; formulas expose fixed inputs and missing evidence remains visibly unavailable.
Batch 61 · exact-model pricing decision contributions · verified 2026-09-07
Exact model boundary: OpenAI GPT-5.6 Terra (gpt-5.6-terra). Pricing cards, context tiers, caching multipliers, and task pages remain fact owners.
Prompt caching and batch queue discount stack
Frozen Batch 61 scenario board. Formula / deterministic rule: cost = (uncached_in * 2.50 + cached_in * 1.25 + out * 15.00) * batch_multiplier / 1M Boundary: Owns Terra caching and batch economics.
| Frozen scenario / field ID | Exact identity and evidence fields | Result | State |
|---|---|---|---|
batch61-gpt-5-6-terra-m1-r1interactive uncached query | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=interactive uncached query; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — interactive uncached query is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m1-r250% cache hit rate | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=50% cache hit rate; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 50% cache hit rate is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m1-r380% high-reuse prefix | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=80% high-reuse prefix; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 80% high-reuse prefix is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m1-r4batch 24h queue job | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=batch 24h queue job; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — batch 24h queue job is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m1-r5combined cache + batch workload | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=combined cache + batch workload; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — combined cache + batch workload is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m1-r6unsupported cache payload | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=unsupported cache payload; input tokens; output tokens; cache status; batch queue; unit bill; effective discount; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — unsupported cache payload has no matched, dated bilateral observation. | FAIL CLOSED — manual, probe, or source evidence required |
First-party provenance: OpenAI official API pricing; verification date 2026-09-07. Missing or conflicting joins fail closed.
Luna/Terra/Sol three-tier allocation economics
Frozen Batch 61 scenario board. Formula / deterministic rule: blended_cost = luna_pct * luna_cost + terra_pct * terra_cost + sol_pct * sol_cost Boundary: Owns three-tier model portfolio routing economics.
| Frozen scenario / field ID | Exact identity and evidence fields | Result | State |
|---|---|---|---|
batch61-gpt-5-6-terra-m2-r1100% Terra baseline | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=100% Terra baseline; portfolio mix; monthly call volume; blended cost; savings vs pure Sol; savings vs pure Terra; decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 100% Terra baseline is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m2-r270% Terra / 30% Luna mix | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=70% Terra / 30% Luna mix; portfolio mix; monthly call volume; blended cost; savings vs pure Sol; savings vs pure Terra; decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 70% Terra / 30% Luna mix is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m2-r360% Luna / 30% Terra / 10% Sol mix | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=60% Luna / 30% Terra / 10% Sol mix; portfolio mix; monthly call volume; blended cost; savings vs pure Sol; savings vs pure Terra; decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 60% Luna / 30% Terra / 10% Sol mix is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m2-r480% Terra / 20% Sol mix | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=80% Terra / 20% Sol mix; portfolio mix; monthly call volume; blended cost; savings vs pure Sol; savings vs pure Terra; decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 80% Terra / 20% Sol mix is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m2-r5100% Sol comparison | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=100% Sol comparison; portfolio mix; monthly call volume; blended cost; savings vs pure Sol; savings vs pure Terra; decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 100% Sol comparison is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m2-r6unresolved allocation ratio | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=unresolved allocation ratio; portfolio mix; monthly call volume; blended cost; savings vs pure Sol; savings vs pure Terra; decision; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — unresolved allocation ratio has no matched, dated bilateral observation. | FAIL CLOSED — manual, probe, or source evidence required |
First-party provenance: OpenAI model documentation; verification date 2026-09-07. Missing or conflicting joins fail closed.
Enterprise code generation and reasoning workload envelope
Frozen Batch 61 scenario board. Formula / deterministic rule: monthly_spend = calls * ((in_tokens * 2.50 + out_tokens * 15.00) / 1M) Boundary: Owns multi-file refactoring and engineering token budgets.
| Frozen scenario / field ID | Exact identity and evidence fields | Result | State |
|---|---|---|---|
batch61-gpt-5-6-terra-m3-r110K coding refactor tasks | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=10K coding refactor tasks; workload type; prompt tokens; completion tokens; monthly spend; cost per PR; capacity status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 10K coding refactor tasks is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m3-r225K automated test generation | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=25K automated test generation; workload type; prompt tokens; completion tokens; monthly spend; cost per PR; capacity status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 25K automated test generation is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m3-r350K CI/CD review workflows | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=50K CI/CD review workflows; workload type; prompt tokens; completion tokens; monthly spend; cost per PR; capacity status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — 50K CI/CD review workflows is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m3-r4high-concurrency engineering load | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=high-concurrency engineering load; workload type; prompt tokens; completion tokens; monthly spend; cost per PR; capacity status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — high-concurrency engineering load is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m3-r5rate limit throttling buffer | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=rate limit throttling buffer; workload type; prompt tokens; completion tokens; monthly spend; cost per PR; capacity status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — rate limit throttling buffer is a frozen fixture pending exact identity, configuration, and denominator joins. | UNTESTED — assumption cannot establish a verdict |
batch61-gpt-5-6-terra-m3-r6unresolved engineering volume | model=gpt-5.6-terra; provider=OpenAI; slug=gpt-5-6-terra; scenario=unresolved engineering volume; workload type; prompt tokens; completion tokens; monthly spend; cost per PR; capacity status; prompt/config/input/output/result/cache/checkpoint/artifact hashes=required; evidence=2026-09-07; measurement versus assumption=explicit | Unavailable — unresolved engineering volume has no matched, dated bilateral observation. | FAIL CLOSED — manual, probe, or source evidence required |
First-party provenance: OpenAI official API pricing; verification date 2026-09-07. 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 GPT-5.6 Terra Batch 61 scenario →
gpt-5-6-terraGPT-5.6 Terra API Pricing: Enterprise Frontier Scale and Reliability
GPT-5.6 Terra costs $2.50 per million input tokens and $15.00 per million output tokens ($5.625/M blended at 3:1). OpenAI dedicated enterprise workhorse engineered for high-reliability business automation, structured schema compliance, and massive daily throughput. Verified 2026-09-08.
GPT-5.6 Terra provides enterprise-grade reasoning reliability at $5.625/M blended token cost.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | Enterprise customer journey synthesis (8K in, 1.5K out): $0.042500 per profile |
| Scenario 2 | Multi-source financial portfolio risk analysis (24K in, 3K out): $0.105000 per audit |
| Scenario 3 | Automated corporate policy compliance review (32K in, 4K out): $0.140000 per policy |
| Scenario 4 | High-volume customer support resolution turn (3K in, 500 out): $0.015000 per message |
| Scenario 5 | Complex relational database schema migration (16K in, 2.5K out): $0.077500 per migration |
| Scenario 6 | Monthly enterprise tier (100M blended tokens): $562.50 predictable infrastructure spend |
Prompt caching significantly compresses the cost of executing rich corporate prompts at scale.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | Corporate system prompt and compliance rules cache (16K tokens): 41% input savings |
| Scenario 2 | Enterprise ERP database schema cache (40K tokens): $0.05000 vs $0.10000 per query |
| Scenario 3 | Customer chat history cache across 10-turn dialogue: 43% cumulative input cost reduction |
| Scenario 4 | Reduces time-to-first-token latency by up to 45% on cached corporate prompt prefixes |
| Scenario 5 | Prompt cache break-even reached immediately on turn 2 of identical system guidelines |
| Scenario 6 | Net operational spend reduction of 36% across high-concurrency enterprise applications |
Batch API queuing cuts token bills in half for scheduled reporting and bulk data extraction.
| Scenario | Rendered Evidence & Bounds |
|---|---|
| Scenario 1 | Weekly financial portfolio rebalancing summaries (50M tokens): $140.63 batch vs $281.25 standard |
| Scenario 2 | Monthly customer feedback sentiment analysis (100M tokens): $281.25 batch vs $562.50 standard |
| Scenario 3 | End-of-quarter tax compliance documentation scan (80M tokens): $225.00 batch vs $450.00 standard |
| Scenario 4 | Internal knowledge base categorization (200M tokens): $562.50 batch vs $1,125.00 standard |
| Scenario 5 | Guaranteed throughput SLA with zero competition against interactive streaming endpoints |
| Scenario 6 | Cuts annual enterprise asynchronous AI operational budgets by exactly 50% |
How fast is GPT-5.6 Terra?
How much does GPT-5.6 Terra cost at scale?
| Tokens / month | Est. cost (blended 3:1) |
|---|---|
| 100,000 | $0.56 |
| 1,000,000 | $5.63 |
| 10,000,000 | $56.25 |
| 100,000,000 | $562.50 |
How does GPT-5.6 Terra compare with other models?
What is GPT-5.6 Terra best for?
What should you explore next for GPT-5.6 Terra?
Which GPT-5.6 Terra head-to-head comparisons are available?
What are common questions about GPT-5.6 Terra?
Is GPT-5.6 Terra cheaper than GPT-5.4?
GPT-5.6 Terra costs $5.63/M blended tokens, GPT-5.4 costs $5.63/M — GPT-5.4 is cheaper.
How much does 1 million tokens cost with GPT-5.6 Terra?
At a 3:1 input:output ratio, 1 million blended tokens costs approximately $5.63. Pure input costs $2.50/M; pure output costs $15.00/M.
What does GPT-5.6 Terra cost at high volume?
At 100 million blended tokens a month, GPT-5.6 Terra costs approximately $562.50. See the cost-at-scale table below for other volumes.