GPT-5.6 Terra
Balanced GPT-5.6 model for capable, cost-efficient everyday work
- Context
- 1.1M
- Released
- 3mo ago
- Input / 1M tokens
- $2.00
- Output / 1M tokens
- $12.00
- Cached input / 1M tokens
- $0.20
- Cache write / 1M tokens
- $2.50
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
DeepSWE 1.1
Primary coding-agent benchmark · 113 tasks · Data generated 2026-09-22
- pass@4
- 88.5%
- Average cost / attempt
- $4.95
- Benchmark runs
- 4
All published configurations
| Harness / reasoning | pass@1 | pass@4 | Cost / attempt |
|---|---|---|---|
| mini-swe-agent · max | 69.6% | 88.5% | $4.95 |
| mini-swe-agent · xhigh | 60.2% | 80.5% | $2.13 |
| mini-swe-agent · high | 53.8% | 80.5% | $1.13 |
| mini-swe-agent · medium | 35.1% | 60.2% | $0.58 |
| mini-swe-agent · low | 24.1% | 44.2% | $0.43 |
pass@1 is the success rate across scored attempts; pass@4 is the share of tasks solved in at least one of four attempts. Costs are reported by DeepSWE for each configuration. These results are not directly comparable to evaluations using different harnesses. Official source JSON.
Other published benchmarks
| Evaluation | Reported score and source |
|---|---|
| ARC-AGI-2 | 67.1% Third-party evaluator · gpt-5.6-terra_high Reasoning effort: high External evaluation via Epoch AIOriginal-source terms apply |
| ARC-AGI-2 | 18.8% Third-party evaluator · gpt-5.6-terra_low Reasoning effort: low External evaluation via Epoch AIOriginal-source terms apply |
| ARC-AGI-2 | 83.9% Third-party evaluator · gpt-5.6-terra_max Reasoning effort: max External evaluation via Epoch AIOriginal-source terms apply |
| ARC-AGI-2 | 37.5% Third-party evaluator · gpt-5.6-terra_medium Reasoning effort: medium External evaluation via Epoch AIOriginal-source terms apply |
| ARC-AGI-2 | 74.2% Third-party evaluator · gpt-5.6-terra_xhigh Reasoning effort: xhigh External evaluation via Epoch AIOriginal-source terms apply |
| FrontierMath-Tier-4-v2-Private | |
| FrontierMath-Tiers-1-3-v2-Private | |
| GPQA diamond | |
| GPQA diamond | |
| GPQA diamond | |
| OTIS Mock AIME 2024-2025 | |
| OTIS Mock AIME 2024-2025 | |
| OTIS Mock AIME 2024-2025 | |
| SimpleQA Verified |
Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.
Specifications
- Developer
- OpenAI
- Model family
- GPT
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- July 9, 2026
- Model ID
openai/gpt-5.6-terra- Openness
- Closed
- License
- —
- Input modalities
- file, image, text
- Output modalities
- text
- Modality
- text+image+file->text
- Tokenizer
- GPT
- Max output tokens
- 128K
- Knowledge cutoff
- 2026-02-16
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- openai/gpt-5.6-terra
- Source family
- gpt-terra
- Last updated
- 2026-07-09
- Knowledge cutoff
- 2026-02-16
- Model context
- 1.1M
- Maximum input
- 922K
- Model output limit
- 128K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature control
- No
Published benchmarks
| Benchmark | Score | Evaluation details | Evidence |
|---|---|---|---|
| SWE-Bench Pro | 63.4 · resolve rate | 2026-07-09 | Source |
| Terminal-Bench | 87.4 · success rate | 2.1 · 2026-07-09 | Source |
| DeepSWE | 69.6 · resolve rate | 1.1 · 2026-07-09 | Source |
| GPQA Diamond | 92.9 · accuracy | 2026-07-09 | Source |
| FrontierMath | 84.9 · accuracy | Tier 1-3 · v2 · 2026-07-09 | Source |
| BrowseComp | 87.5 · accuracy | 2026-07-09 | Source |
| OSWorld | 50.2 · success rate | 2.0 · 2026-07-09 | Source |
| MMMU Pro | 80.7 · accuracy | no tools · 2026-07-09 | Source |
| Agents' Last Exam | 50.4 | 2026-07-09 | Source |
| Toolathlon | 53.1 · success rate | 2026-07-09 | Source |
| Artificial Analysis Intelligence Index | 55 · index score | max · 4.1 · 2026-07-09 | Source |
| Artificial Analysis Coding Agent Index | 77.4 · index score | Codex · max · 1.1 · 2026-07-09 | Source |
Complete source record (JSON)
{
"id": "openai/gpt-5.6-terra",
"name": "GPT-5.6 Terra",
"description": "Balanced GPT-5.6 model for capable, cost-efficient everyday work",
"family": "gpt-terra",
"last_updated": "2026-07-09",
"knowledge": "2026-02-16",
"attachment": true,
"reasoning": true,
"tool_call": true,
"structured_output": true,
"temperature": false,
"modalities": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"limit": {
"context": 1050000,
"input": 922000,
"output": 128000
},
"benchmarks": [
{
"name": "SWE-Bench Pro",
"score": 63.4,
"source": "https://openai.com/index/gpt-5-6/",
"metric": "resolve rate",
"date": "2026-07-09"
},
{
"name": "Terminal-Bench",
"score": 87.4,
"source": "https://openai.com/index/gpt-5-6/",
"metric": "success rate",
"version": "2.1",
"date": "2026-07-09"
},
{
"name": "DeepSWE",
"score": 69.6,
"source": "https://openai.com/index/gpt-5-6/",
"metric": "resolve rate",
"version": "1.1",
"date": "2026-07-09"
},
{
"name": "GPQA Diamond",
"score": 92.9,
"source": "https://openai.com/index/gpt-5-6/",
"metric": "accuracy",
"date": "2026-07-09"
},
{
"name": "FrontierMath",
"score": 84.9,
"source": "https://openai.com/index/gpt-5-6/",
"metric": "accuracy",
"dataset": "Tier 1-3",
"version": "v2",
"date": "2026-07-09"
},
{
"name": "BrowseComp",
"score": 87.5,
"source": "https://openai.com/index/gpt-5-6/",
"metric": "accuracy",
"date": "2026-07-09"
},
{
"name": "OSWorld",
"score": 50.2,
"source": "https://openai.com/index/gpt-5-6/",
"metric": "success rate",
"version": "2.0",
"date": "2026-07-09"
},
{
"name": "MMMU Pro",
"score": 80.7,
"source": "https://openai.com/index/gpt-5-6/",
"metric": "accuracy",
"variant": "no tools",
"date": "2026-07-09"
},
{
"name": "Agents' Last Exam",
"score": 50.4,
"source": "https://openai.com/index/gpt-5-6/",
"date": "2026-07-09"
},
{
"name": "Toolathlon",
"score": 53.1,
"source": "https://openai.com/index/gpt-5-6/",
"metric": "success rate",
"date": "2026-07-09"
},
{
"name": "Artificial Analysis Intelligence Index",
"score": 55,
"source": "https://artificialanalysis.ai/articles/gpt-5-6-has-landed",
"metric": "index score",
"variant": "max",
"version": "4.1",
"date": "2026-07-09"
},
{
"name": "Artificial Analysis Coding Agent Index",
"score": 77.4,
"source": "https://artificialanalysis.ai/articles/gpt-5-6-has-landed",
"metric": "index score",
"harness": "Codex",
"variant": "max",
"version": "1.1",
"date": "2026-07-09"
}
],
"release_date": "2026-07-09",
"open_weights": false
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| openai/flex | 1.1M | $1.00 | $6.00 | $0.10 | $1.25 | 99.39% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openai/flexBatch pricing | 1.1M | $1.00 | $6.00 | $0.10 | $1.25 | 99.73% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure | 1.1M | $2.00 | $12.00 | $0.20 | $2.50 | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azureBatch pricing | 1.1M | $2.00 | $12.00 | $0.20 | $2.50 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openai | 1.1M | $2.00 | $12.00 | $0.20 | $2.50 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openaiBatch pricing | 1.1M | $2.00 | $12.00 | $0.20 | $2.50 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrock/us-east-1 | 1.1M | $2.20 | $13.20 | $0.22 | $2.75 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrock/us-east-1Batch pricing | 1.1M | $2.20 | $13.20 | $0.22 | $2.75 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure/us | 1.1M | $2.20 | $13.20 | $0.22 | $2.75 | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure/eu | 1.1M | $2.20 | $13.20 | $0.22 | $2.75 | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure/usBatch pricing | 1.1M | $2.20 | $13.20 | $0.22 | $2.75 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure/euBatch pricing | 1.1M | $2.20 | $13.20 | $0.22 | $2.75 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openai/fast | 1.1M | $4.00 | $24.00 | $0.40 | $5.00 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openai/fastBatch pricing | 1.1M | $4.00 | $24.00 | $0.40 | $5.00 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Text provenance
EU · product-scopedOpenAI textGrain watermarking
In the EU, ChatGPT-generated text uses textGrain. OpenAI says API customers can opt in globally for select models, so watermarking depends on the product surface and configuration.
Official explanation