OpenAI

GPT-5.6 Sol Pro

Tool callingStructured outputReasoningImage inputFile input

Frontier GPT-5.6 model for complex professional work, coding, and agentic workflows

Context
1.1M
Released
3mo ago
Input / 1M tokens
$4.00
Output / 1M tokens
$20.00
Cached input / 1M tokens
$0.40
Cache write / 1M tokens
$5.00

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.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

Other published benchmarks

EvaluationReported score and source
FrontierMath-Tier-4-v2-Private
80.5%
Epoch AI · gpt-5.6-sol_promax
Reasoning effort: max
Epoch AI evaluation

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-sol-pro
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-sol
Source family
gpt-sol
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

BenchmarkScoreEvaluation detailsEvidence
SWE-Bench Pro64.6 · resolve rate2026-07-09Source
Terminal-Bench88.8 · success rate2.1 · 2026-07-09Source
DeepSWE72.7 · resolve rate1.1 · 2026-07-09Source
GPQA Diamond94.6 · accuracy2026-07-09Source
FrontierMath89 · accuracyTier 1-3 · v2 · 2026-07-09Source
BrowseComp90.4 · accuracy2026-07-09Source
OSWorld62.6 · success rate2.0 · 2026-07-09Source
MMMU Pro83 · accuracyno tools · 2026-07-09Source
Agents' Last Exam52.72026-07-09Source
Toolathlon58 · success rate2026-07-09Source
Artificial Analysis Intelligence Index58.9 · index scoremax · 4.1 · 2026-07-09Source
Artificial Analysis Coding Agent Index80 · index scoreCodex · max · 1.1 · 2026-07-09Source
Complete source record (JSON)
{
  "id": "openai/gpt-5.6-sol",
  "name": "GPT-5.6 Sol",
  "description": "Frontier GPT-5.6 model for complex professional work, coding, and agentic workflows",
  "family": "gpt-sol",
  "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": 64.6,
      "source": "https://openai.com/index/gpt-5-6/",
      "metric": "resolve rate",
      "date": "2026-07-09"
    },
    {
      "name": "Terminal-Bench",
      "score": 88.8,
      "source": "https://openai.com/index/gpt-5-6/",
      "metric": "success rate",
      "version": "2.1",
      "date": "2026-07-09"
    },
    {
      "name": "DeepSWE",
      "score": 72.7,
      "source": "https://openai.com/index/gpt-5-6/",
      "metric": "resolve rate",
      "version": "1.1",
      "date": "2026-07-09"
    },
    {
      "name": "GPQA Diamond",
      "score": 94.6,
      "source": "https://openai.com/index/gpt-5-6/",
      "metric": "accuracy",
      "date": "2026-07-09"
    },
    {
      "name": "FrontierMath",
      "score": 89,
      "source": "https://openai.com/index/gpt-5-6/",
      "metric": "accuracy",
      "dataset": "Tier 1-3",
      "version": "v2",
      "date": "2026-07-09"
    },
    {
      "name": "BrowseComp",
      "score": 90.4,
      "source": "https://openai.com/index/gpt-5-6/",
      "metric": "accuracy",
      "date": "2026-07-09"
    },
    {
      "name": "OSWorld",
      "score": 62.6,
      "source": "https://openai.com/index/gpt-5-6/",
      "metric": "success rate",
      "version": "2.0",
      "date": "2026-07-09"
    },
    {
      "name": "MMMU Pro",
      "score": 83,
      "source": "https://openai.com/index/gpt-5-6/",
      "metric": "accuracy",
      "variant": "no tools",
      "date": "2026-07-09"
    },
    {
      "name": "Agents' Last Exam",
      "score": 52.7,
      "source": "https://openai.com/index/gpt-5-6/",
      "date": "2026-07-09"
    },
    {
      "name": "Toolathlon",
      "score": 58,
      "source": "https://openai.com/index/gpt-5-6/",
      "metric": "success rate",
      "date": "2026-07-09"
    },
    {
      "name": "Artificial Analysis Intelligence Index",
      "score": 58.9,
      "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": 80,
      "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

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
OpenAIopenai/flex1.1M$2.00$10.00$0.20$2.50—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai/flexBatch pricing1.1M$2.00$10.00$0.20$2.50—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure1.1M$4.00$20.00$0.40$5.00100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

AzureazureBatch pricing1.1M$4.00$20.00$0.40$5.00100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai1.1M$4.00$20.00$0.40$5.00100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenaiBatch pricing1.1M$4.00$20.00$0.40$5.00100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/eu1.1M$4.40$22.00$0.44$5.50100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/euBatch pricing1.1M$4.40$22.00$0.44$5.50100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai/fast1.1M$8.00$40.00$0.80$10.00—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai/fastBatch pricing1.1M$8.00$40.00$0.80$10.00—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Text provenance

EU · product-scoped

OpenAI 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