Models · Best coding
GPT-5.6 Terra
by OpenAI
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier.
Our verdict
We have not reviewed GPT-5.6 Terra yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About GPT-5.6 Terra
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier.
Notes
GPT-5.6 Terra is listed in the EDNA Models directory from the OpenRouter catalogue.
Key facts
What we have checked
- Input price
- $2.00 per million tokens
- Output price
- $12.00 per million tokens
- Price on amazon-bedrock
- $0.220 per million cached input tokens
- Price on amazon-bedrock
- $2.20 per million input tokens
- Price on amazon-bedrock
- $13.20 per million output tokens
- Price on azure
- $0.200 per million cached input tokens
- Price on azure
- $2.00 per million input tokens
- Price on azure
- $12.00 per million output tokens
- Price on openai
- $0.100 per million cached input tokens
- Gpqa diamond
- 93.3% (for 9 July 2026)
- Frontiermath tiers 1 3 v2 private
- 86% (for 9 July 2026)
- Simpleqa verified
- 43.2% (for 9 July 2026)
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
API access
How to call it
Call via OpenRouter with model id `openai/gpt-5.6-terra`.
- openrouter ·
openai/gpt-5.6-terra· Docs
OpenRouter id: openai/gpt-5.6-terra
Price
What GPT-5.6 Terra costs, over time
$2.00 to $2.00
$12.00 to $12.00
Prices by host
| Host | Price | Over time | Checked |
|---|---|---|---|
| amazon-bedrockCached input | $0.220 per million cached input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| amazon-bedrockInput | $2.20 per million input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| amazon-bedrockOutput | $13.20 per million output tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| azureCached input | $0.200 per million cached input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| azureInput | $2.00 per million input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| azureOutput | $12.00 per million output tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| openaiCached input | $0.100 per million cached input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| openaiInput | $1.00 per million input tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
| openaiOutput | $6.00 per million output tokensSince 24 Oct 2026 | No change recorded | OpenRouter models API |
Usage
How much GPT-5.6 Terra is used
53.8B to 18.8B
Scores
How GPT-5.6 Terra scores
Each score comes from the named source and shows when we last confirmed it. A flag means the score needs care.
| Score | Value | Source | Checked |
|---|---|---|---|
| Artificial Analysis Intelligence Index | 32.3indexAs of 10 Nov 2026 | Artificial Analysis via OpenRouter | |
| Artificial Analysis Coding Index | 76.7indexAs of 10 Nov 2026 | Artificial Analysis via OpenRouter | |
| Artificial Analysis Agentic Index | 43.2indexAs of 10 Nov 2026 | Artificial Analysis via OpenRouter | |
| LMArena text rating (Elo) | 1,449EloAs of 10 Nov 2026 | LMArena (CC-BY-4.0), published 2026-11-09 | |
| LMArena web development rating (Elo) | 1,520EloAs of 10 Nov 2026 | LMArena (CC-BY-4.0), published 2026-11-09 | |
| LMArena vision rating (Elo) | 1,269EloAs of 10 Nov 2026 | LMArena (CC-BY-4.0), published 2026-11-09 | |
| Apex agents (best-across-versions) | 58.2percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Arc agi (best-across-versions) | 96.5percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Arc agi 2 (best-across-versions) | 83.9percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Balrog (best-across-versions) | 53.2percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Chess puzzles (best-across-versions) | 47percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Dtbench (best-across-versions) | 93.3percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) |
Show 13 more scores
| Score | Value | Source | Checked |
|---|---|---|---|
| Frontiercode (best-across-versions) | 41.3percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Frontiermath tier 4 v2 private (best-across-versions) | 70.7percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Frontiermath tiers 1 3 v2 private (best-across-versions) | 86percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Furniture assembly (best-across-versions) | 54.2percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Gpqa diamond (best-across-versions) | 93.3percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Lmca (best-across-versions) | 55percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Mystery game puzzles (best-across-versions) | 35percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Otis mock aime 2024 2025 (best-across-versions)Saturated | 99.7percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Proofbench (best-across-versions) | 74percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Simplebench (best-across-versions) | 48.9percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Simpleqa verified (best-across-versions) | 43.2percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Surface evolver bench (best-across-versions) | 83.8percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) | |
| Weirdml (best-across-versions) | 78.3percentAs of 9 July 2026 | Epoch AI (CC BY 4.0) |
- Saturated
- Top models score close to the maximum, so this test no longer separates them.
Sources
Where this comes from
- OpenRouter models APIThird party
- OpenRouter models APIOfficial
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
- Epoch AI (CC BY 4.0)Third party
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Price changed
output per mtok: 15 to 12
Price changed
input per mtok: 2.5 to 2
USAGE / OPENROUTER
How much GPT-5.6 Terra is used
Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.
- Tokens, last 7 days
- 151B ▼26.2%
- Requests, last 7 days
- 10.3M
- Tool calls, last 7 days
- 4.1M
- Intelligence score
- 32.3
- People's vote
- 1449
- Average cost per request
- $3.64
- Price per million tokens
- $2 in · $12 out
MODEL FIELD GUIDE / SOURCE EVIDENCE
What you can do with GPT-5.6 Terra.
Listed specifications; no EDNA task evaluation has been run. Sources checked 2026-11-07. Hosting routes and app features can differ.
openai/gpt-5.6-terra- Tool calling
- Listed support
- Structured output
- Listed support
- Reasoning controls
- Listed support
- Availability
- available
- Price basis
- token
- Licence verification
- Check the developer licence; the model name is insufficient
- Context length
- 1.1M tokens
- Knowledge cutoff
- 16 Feb 2026
- Developer release date
- Not established
- First seen in the catalogue
- 9 Jul 2026
- Listed retirement date
- Not established
Inspect the sources and their scope
openai/gpt-5.6-terra: listed route capabilities, availability and prices; provider endpoints can differ.
Checked 2026-11-07Source for reasoning controls, first seen, tool calling, context length, input, knowledge cutoff, output, structured output.
Checked 2026-11-07FROM SPECIFICATIONS TO YOUR WORK
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Working out the cost...
Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗
Check the source
Price date: 10 Nov 2026, from OpenRouter models API. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.
Model source & availability ↗Understand the evidence
Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.
Intelligence Index: 32.3 (2026-11-09) ↗Coding Index: 76.7 (2026-11-09) ↗Agentic Index: 43.2 (2026-11-09) ↗Get the free Developer’s Field Guide
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