GPT-5.6 Terra
GPT-5.6 Terra is a balanced GPT-5.6 model for everyday work, with performance comparable to the previous generation at half the cost.
text + image + file → text · made by OpenAI
$2→$12per Mtok in / out
OpenAI · 15 sellers
Available within a subscription 1 plan
Bought by the month. What a plan allows is the half of its price that a rate card cannot carry, so it is printed beside every one.
Sold by 36 ways
| Seller | Lane | Rate |
|---|---|---|
| Microsoft Azure AI cloud | flex | $1per Mtok in$6per Mtok outraw.githubusercontent.com · read 2026-10-31 |
| OpenAI api | batch | $1per Mtok in$6per Mtok out$0.1per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| Databricks cloud | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writemodels.dev · read 2026-10-31 |
| DigitalOcean cloud | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writemodels.dev · read 2026-10-31 |
| Microsoft Azure AI cloud | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writemodels.dev · read 2026-10-31 |
| OpenAI api | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| AWS Bedrock cloud | standard | $2.2per Mtok in$13.2per Mtok out$0.22per Mtok cached$2.75per Mtok cache writemodels.dev · read 2026-10-31 |
| Microsoft Azure AI cloud | long-context | $4per Mtok in$18per Mtok out$0.4per Mtok cachedprices.azure.com · read 2026-08-24 |
| Databricks cloud | priority | $4per Mtok in$24per Mtok out$0.4per Mtok cachedraw.githubusercontent.com · read 2026-10-31 |
| Microsoft Azure AI cloud | priority | $4.4per Mtok in$26.4per Mtok out$0.44per Mtok cachedraw.githubusercontent.com · read 2026-10-31 |
| Requesty 3 ways | $0.9per Mtok in$5.4per Mtok out$0.09per Mtok cached | |
| Requesty aggregatornot on the seller's list today | openai flex | $0.9per Mtok in$5.4per Mtok out$0.09per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | openai-responses flex | $0.9per Mtok in$5.4per Mtok out$0.09per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | openai-responses | $1per Mtok in$6per Mtok out$0.1per Mtok cachedrouter.requesty.ai · read 2026-09-11 |
| Requesty aggregatornot on the seller's list today | azure swedencentral | $1.98per Mtok in$11.88per Mtok out$0.2per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | bedrock us-east-2 | $1.98per Mtok in$11.88per Mtok out$0.2per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | bedrock us-west-2 | $1.98per Mtok in$11.88per Mtok out$0.2per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | azure | $2per Mtok in$12per Mtok out$0.2per Mtok cachedrouter.requesty.ai · read 2026-10-10 |
| Requesty aggregator | openai | $2per Mtok in$12per Mtok out$0.2per Mtok cachedrouter.requesty.ai · read 2026-10-10 |
| Requesty aggregator | bedrock | $2.2per Mtok in$13.2per Mtok out$0.22per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Nous Research 2 ways | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache write | |
| Nous Research aggregator | batch | $1per Mtok in$6per Mtok out$0.1per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| Nous Research aggregator | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter 7 ways | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache write | |
| OpenRouter aggregator | batch | $1per Mtok in$6per Mtok out$0.1per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | openai/flex | $1per Mtok in$6per Mtok out$0.1per Mtok cached$1.25per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writeopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | amazon-bedrock/us-east-1 | $2.2per Mtok in$13.2per Mtok out$0.22per Mtok cached$2.75per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | azure/eu | $2.2per Mtok in$13.2per Mtok out$0.22per Mtok cached$2.75per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | azure/us | $2.2per Mtok in$13.2per Mtok out$0.22per Mtok cached$2.75per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | openai/fast | $4per Mtok in$24per Mtok out$0.4per Mtok cached$5per Mtok cache writeopenrouter.ai · read 2026-08-31 |
| OpenRouter aggregatornot on the seller's list today | openai/priority | $4per Mtok in$24per Mtok out$0.4per Mtok cached$5per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| AtlasCloud aggregator | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cachedapi.atlascloud.ai · read 2026-09-20 |
| ElectronHub aggregator | standard | $2per Mtok in$12per Mtok outapi.electronhub.ai · read 2026-10-31 |
| GitHub Copilot aggregator | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writemodels.dev · read 2026-10-31 |
| Inference.net aggregator | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cachedapi.inference.net · read 2026-10-31 |
| RedPill aggregator | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writeapi.redpill.ai · read 2026-10-27 |
| Venice AI aggregator | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writemodels.dev · read 2026-10-31 |
| Vercel AI Gateway aggregator | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writeai-gateway.vercel.sh · read 2026-08-25 |
Measured 40 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 7thof 41 | Balrog — Epoch AI | Average progress (max) | 0.532 |
| 7thof 29 | Surface evolver bench — Epoch AI | Mean score (xhigh) | 0.838 |
| 10thof 163 | Artificial Analysis · Coding Index | Index | 76.7 |
| 11thof 132 | Ale bench — Epoch AI | Performance (max) | 1951.42 |
| 12thof 122 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (max) | 85.965 |
| 12thof 35 | Furniture assembly — Epoch AI | mean_score (max) | 54.167 |
| 14thof 69 | Deepswe — Epoch AI | Pass@1 (max) | 0.696 |
| 14thof 306 | OTIS Mock AIME 2024-2025 | mean_score (max) | 99.722 |
| 16thof 273 | ARC-AGI-1 (Public Eval) | Score (%) (max) | 98.25 |
| 17thof 260 | Critpt — Epoch AI | Accuracy (max) | 30 |
| 17thof 56 | Gdp pdf — Epoch AI | GDP.pdf score | 0.247 |
| 17thof 84 | Proofbench — Epoch AI | Accuracy (xhigh) | 74 |
| 18thof 60 | Apex agents — Epoch AI | Pass@1 score (max) | 0.582 |
| 18thof 71 | Vending bench 2 — Epoch AI | Score | 7343.206 |
| 19thof 35 | Blueprint bench 2 — Epoch AI | Score | 30.803 |
| 19thof 326 | GPQA Diamond | mean_score (max) | 93.308 |
| 19thof 30 | Mirrorcode — Epoch AI | mean_score (max) | 41.111 |
| 20thof 173 | Weirdml — Epoch AI | Accuracy (high) | 78.27 |
| 22ndof 78 | Frontiermath tier 4 v2 — Epoch AI | mean_score (max) | 70.732 |
| 24thof 131 | Artificial Analysis · Agentic Index | Index | 43.2 |
| 24thof 154 | Chess puzzles — Epoch AI | mean_score (max) | 47 |
| 24thof 46 | Frontiercode — Epoch AI | Main score | 0.413 |
| 25thof 142 | Mystery game puzzles — Epoch AI | mean_score (max) | 35 |
| 27thof 298 | ARC-AGI-1 (Semi-Private) | Score (%) (max) | 96.5 |
| 27thof 309 | Arc agi — Epoch AI | Score (max) | 96.5 |
| 28thof 282 | ARC-AGI-2 (Public Eval) | Score (%) (max) | 91.32 |
| 36thof 298 | ARC-AGI-2 (Semi-Private) | Score (%) (max) | 83.9 |
| 38thof 165 | LMArena · Vision | Score (Elo) (xhigh) | 1268 |
| 39thof 290 | Arc agi 2 — Epoch AI | Score (max) | 83.9 |
| 41stof 82 | Cursorbench — Epoch AI | Score (max) | 41.3 |
| 44thof 93 | Simpleqa verified — Epoch AI | mean_score (max) | 43.2 |
| 46thof 197 | Lmca — Epoch AI | Score (max) | 54.95 |
| 47thof 135 | Webdev arena — Epoch AI | Arena Score (xhigh) | 1521.25 |
| 48thof 141 | LMArena · WebDev | Score (Elo) (xhigh) | 1522 |
| 50thof 53 | LMArena · Agent | Net Improvement (%) | 0.88 |
| 50thof 414 | LMArena · Text | Score (Elo) (xhigh) | 1466 |
| 52ndof 102 | Simplebench — Epoch AI | Score (AVG@5) | 0.489 |
| 57thof 235 | Scicode — Epoch AI | Score (max) | 54.977 |
| 64thof 235 | Dtbench — Epoch AI | Accuracy (max) | 93.33 |
| 66thof 112 | ARC-AGI-3 (Semi-Private) | Score (%) (max) | 0.8 |
About
GPT-5.6 Terra — a text model from OpenAI, sold by 15 companies from $2 in and $12 out per million tokens, placed 14th of 306 on OTIS Mock AIME 2024-2025.
It takes text, images and files and returns text, with a context window of 272,000 tokens. It was published in July 2026, trained on material up to February 2026. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning, code and agents. Fifteen companies sell it. The cheapest is $2 in and $12 out per million tokens at AtlasCloud. Beside the standard rate there are faster, flex, separately routed, batch and regional lanes. It has been measured on 40 boards, and stands best at 14th of 306 on OTIS Mock AIME 2024-2025.
Every current figure
- Maker
- OpenAI
- Register
- model
- Takes
- text + image + file
- Returns
- text
- Context
- 272,000 tokens
- Published
- July 2026
- Knowledge to
- February 2026
- Licence
- not read
- Sellers
- 15
- Price
- $2 in and $12 out per million tokens — AtlasCloud
- Boards
- 40
- Best place
- 14th of 306 — OTIS Mock AIME 2024-2025
Known as 24 names
GPT-5.6 Terra (high)GPT-5.6 Terra (max)GPT-5.6 Terra (xhigh)GPT-5.6 Terra (Low)GPT-5.6 Terra (Medium)gpt-5.6-terra_maxGPT 5.6 Terra (xHigh)Codex + GPT-5.6 Terra (max)openai/gpt-5.6-terra5.6 terraopenai/gpt-5.6-terra:batchgpt-5.6-terraazure/gpt-5.6-terra@eastus2azure/gpt-5.6-terra@swedencentralazure/openai-responses/gpt-5.6-terra@eastus2azure/openai-responses/gpt-5.6-terra@swedencentralbedrock/gpt-5.6-terra@us-east-1bedrock/gpt-5.6-terra@us-east-2bedrock/gpt-5.6-terra@us-west-2openai-responses/gpt-5.6-terraopenai-responses/gpt-5.6-terra:flexopenai/gpt-5.6-terra:flexopenai/gpt-5.6-terra-batchOpenAI: GPT-5.6 Terra (batch)