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 · 13 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 32 ways
| Seller | Lane | Rate |
|---|---|---|
| OpenAI api | batch | $1per Mtok in$6per Mtok out$0.1per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| AWS Bedrock cloud | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writemodels.dev · read 2026-09-16 |
| DigitalOcean cloud | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cachedmodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writemodels.dev · read 2026-09-16 |
| OpenAI api | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| Databricks cloud | standard | $2.5per Mtok in$15per Mtok out$0.25per Mtok cached$3.13per Mtok cache writemodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | long-context | $4per Mtok in$18per Mtok out$0.4per Mtok cachedprices.azure.com · read 2026-08-24 |
| Microsoft Azure AI cloud | priority | $4.4per Mtok in$26.4per Mtok out$0.44per Mtok cachedraw.githubusercontent.com · read 2026-09-16 |
| Requesty 4 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 aggregator | 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 2026-09-13 |
| Requesty aggregator | openai | $2per Mtok in$12per Mtok out$0.2per Mtok cachedrouter.requesty.ai · read 2026-09-16 |
| 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 |
| ElectronHub aggregator | standard | $1.5per Mtok in$9per Mtok outapi.electronhub.ai · read 2026-09-16 |
| GitHub Copilot aggregator | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cached$2.5per Mtok cache writemodels.dev · read 2026-09-16 |
| Inference.net aggregator | standard | $2per Mtok in$12per Mtok out$0.2per Mtok cachedapi.inference.net · read 2026-09-16 |
| 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 |
| Venice AI aggregator | standard | $2.5per Mtok in$15per Mtok out$0.25per Mtok cached$3.12per Mtok cache writemodels.dev · read 2026-09-16 |
Measured 40 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 5thof 112 | Ale bench — Epoch AI | Performance (max) | 1951.42 |
| 6thof 106 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (max) | 85.965 |
| 6thof 39 | Gdp pdf — Epoch AI | GDP.pdf score | 0.247 |
| 6thof 17 | terminal-bench@2.1 | Accuracy (max) | 78.4 |
| 7thof 26 | Surface evolver bench — Epoch AI | Mean score (xhigh) | 0.838 |
| 8thof 24 | Blueprint bench 2 — Epoch AI | Score | 30.803 |
| 8thof 222 | Chess puzzles — Epoch AI | mean_score (max) | 54 |
| 8thof 177 | Critpt — Epoch AI | Accuracy (max) | 30 |
| 8thof 290 | OTIS Mock AIME 2024-2025 | mean_score (max) | 99.722 |
| 8thof 64 | Proofbench — Epoch AI | Accuracy (xhigh) | 74 |
| 9thof 60 | Vending bench 2 — Epoch AI | Score | 7343.206 |
| 9thof 60 | Vending-Bench 2 — Current leaderboard | Money Balance (average across 5 runs) | 7343.21 |
| 10thof 184 | Artificial Analysis · Coding Index | Index | 76.7 |
| 11thof 205 | ARC-AGI-1 (Public Eval) | Score (%) (max) | 98.25 |
| 11thof 123 | Lmca — Epoch AI | Score (max) | 52.23 |
| 14thof 69 | Deepswe — Epoch AI | Pass@1 (max) | 0.696 |
| 14thof 30 | Frontiercode — Epoch AI | Main score | 0.413 |
| 14thof 313 | GPQA Diamond | mean_score (max) | 93.308 |
| 15thof 62 | Frontiermath tier 4 v2 — Epoch AI | mean_score (max) | 70.732 |
| 16thof 127 | Mystery game puzzles — Epoch AI | mean_score (max) | 35 |
| 17thof 230 | ARC-AGI-1 (Semi-Private) | Score (%) (max) | 96.5 |
| 17thof 244 | Arc agi — Epoch AI | Score (max) | 96.5 |
| 17thof 170 | Weirdml — Epoch AI | Accuracy (high) | 78.27 |
| 18thof 216 | ARC-AGI-2 (Public Eval) | Score (%) (max) | 91.32 |
| 19thof 74 | Cursorbench — Epoch AI | Score (max) | 64.9 |
| 19thof 161 | Dtbench — Epoch AI | Accuracy (max) | 92.53 |
| 20thof 39 | ARC-AGI-3 (Semi-Private) | Score (%) (max) | 0.8 |
| 24thof 232 | ARC-AGI-2 (Semi-Private) | Score (%) (max) | 83.9 |
| 25thof 143 | Artificial Analysis · Agentic Index | Index | 43.7 |
| 27thof 227 | Arc agi 2 — Epoch AI | Score (max) | 83.9 |
| 27thof 302 | Artificial Analysis · Intelligence Index | Artificial Analysis Intelligence Index (max) | 42 |
| 32ndof 152 | LMArena · Vision | Score (Elo) (xhigh) | 1267 |
| 34thof 121 | Webdev arena — Epoch AI | Arena Score (xhigh) | 1519.87 |
| 35thof 128 | LMArena · WebDev | Score (Elo) (xhigh) | 1521 |
| 36thof 168 | Scicode — Epoch AI | Score (max) | 53.935 |
| 36thof 80 | Simpleqa verified — Epoch AI | mean_score (max) | 43.2 |
| 39thof 46 | LMArena · Agent | Net Improvement (%) | 1.44 |
| 45thof 402 | LMArena · Text | Score (Elo) (xhigh) | 1466 |
| 49thof 656 | Epoch capabilities index — Epoch AI | ECI Score (medium) | 159.18 |
| 52ndof 102 | Simplebench — Epoch AI | Score (AVG@5) | 0.489 |
About
GPT-5.6 Terra — a text model from OpenAI, sold by 13 companies from $1.5 in and $9 out per million tokens, placed 8th of 290 on OTIS Mock AIME 2024-2025.
It takes text, images and files and returns text, with a context window of 1,050,000 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. Thirteen companies sell it. The cheapest is $1.5 in and $9 out per million tokens at ElectronHub. Beside the standard rate there are separately routed, faster, batch, regional and flex lanes. It has been measured on 40 boards, and stands best at 8th of 290 on OTIS Mock AIME 2024-2025.
Every current figure
- Maker
- OpenAI
- Register
- model
- Takes
- text + image + file
- Returns
- text
- Context
- 1,050,000 tokens
- Published
- July 2026
- Knowledge to
- February 2026
- Licence
- not read
- Sellers
- 13
- Price
- $1.5 in and $9 out per million tokens — ElectronHub
- Boards
- 40
- Best place
- 8th of 290 — OTIS Mock AIME 2024-2025
Known as 23 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)5.6 terraopenai/gpt-5.6-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 (batch)