VENICE ATLAS · MODEL DOSSIER · GPT-5.6 SOL

Model overview

GPT-5.6 Sol

Name: GPT-5.6 Sol
Brand: venice.ai
Price: 4.0000 USD
Availability: InStock

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks and long-horizon problem solving.

openai-gpt-56-sol · venice.ai

Text · Venice catalog$4.00 per 1M tokensPrice on Venice AI

ModalityTextOn Venice AI

Primary price$4.00 per 1M tokensper 1M tokens

Context window1MMax tokens

Benchmarks45Benchmark results

Benchmark results

See the tests behind each score. They use the benchmark’s original scoring scale.

Agents#539.12 rating Biology#340.56 rating Chemistry#340.56 rating Coding#542.38 rating Vision#1334.26 rating General intelligence#853.20 rating Healthcare#1132.14 rating Long Context#132.05 rating Multimodal#1334.39 rating Physics#440.56 rating Reasoning#652.61 rating Safety#229.81 rating Science#517.93 rating Search#429.48 rating Spatial Reasoning#530.22 rating Systems#217.71 rating Tool Calling#1229.29 rating

Agents17 results

Agents' Last Examagents-last-exam · agents

52.7%

ReportedOct 2026

AutomationBenchautomationbench · agents

18.1%

ReportedOct 2026

Big Finance Benchbig-finance-bench · agents

53.0%

ReportedOct 2026

Capture-the-Flag Challenges (Internal)capture-the-flag-challenges · agents

96.7%

ReportedOct 2026

Connectorsopenai-connectors · agents

100.0%

ReportedOct 2026

ExploitGymexploitgym · agents

33.7%

ReportedOct 2026

GeneBench-Progenebench-pro · agents

28.7%

ReportedOct 2026

Internal Research Debugging Evaluationinternal-research-debugging-evaluation · agents

68.3%

ReportedOct 2026

KernelGen 1Pkernelgen-1p · agents

61.1%

ReportedOct 2026

LifeSciBenchlifescibench · agents

59.9%

ReportedOct 2026

Management Consulting Tasks (Internal)management-consulting-tasks · agents

43.2%

ReportedOct 2026

NanoGPTnanogpt · agents

9.69%

ReportedOct 2026

PostTrainBench Liteposttrainbench-lite · agents

50.3%

ReportedOct 2026

RSI Indexrsi-index · agents

57.9%

ReportedOct 2026

Search and Function-Callingopenai-search-function-calling · agents

91.0%

ReportedOct 2026

SEC-bench Prosec-bench-pro · agents

71.2%

ReportedOct 2026

Toolathlontoolathlon · agents

58.0%

ReportedOct 2026

Coding5 results

BenchCADbenchcad · code

70.6%

ReportedOct 2026

BenchCAD (with Python tool)benchcad-with-python-tool · code

83.4%

ReportedOct 2026

DeepSWEdeepswe · code

72.7%

ReportedOct 2026

DeepSWE 1.1deepswe-1.1 · code

73.0%

ReportedOct 2026

ExploitBenchexploitbench · code

73.5%

ReportedOct 2026

General intelligence2 results

Artificial Analysisartificial-analysis · general

59.0%

ReportedOct 2026

GDP.pdfgdp-pdf · general

30.7%

ReportedOct 2026

Healthcare4 results

HealthBenchhealthbench · healthcare

57.0%

ReportedOct 2026

HealthBench Consensushealthbench-consensus · healthcare

95.5%

ReportedOct 2026

HealthBench Hardhealthbench-hard · healthcare

33.1%

ReportedOct 2026

HealthBench Professionalhealthbench-professional · healthcare

60.5%

ReportedOct 2026

Long Context2 results

MRCR v2 (8-needle, 512K-1M)mrcr-v2-8-needle-512k-1m · long_context

73.8%

ReportedOct 2026

MRCR v2 (8-needle)mrcr-v2-(8-needle) · long_context

91.5%

ReportedOct 2026

Learn what each benchmark measures ↗

Pricing detail

Input price per 1M tokens: $4.00
Output price per 1M tokens: $20.00
Cache read price per 1M tokens: $0.40
Cache write price per 1M tokens: $5.00
Blended price per 1M tokens (50/50): $12.00

Prices are published by Venice AI. Venice model page ↗

Capabilities

ReasoningFunction callingVisionWeb search

Endpoint metadata

Privacy: anonymized
Quantization: not-available
Maximum completion tokens: 128K
Uncensored: No
Beta: No
Mapping confidence: 100.0%

View model source ↗

All capabilities

Max Images: 10
Quantization: not-available
Supports E2 E E: No
Supports Vision: Yes
Supports X Search: No
Optimized For Code: No
Supports Log Probs: No
Supports Reasoning: Yes
Supports Web Search: Yes
Supports Audio Input: No
Supports Video Input: No
Default Reasoning Effort: high
Reasoning Effort Options: none, low, medium, high, xhigh, max
Supports Multiple Images: Yes
Supports Response Schema: Yes
Supports Tee Attestation: No
Supports Function Calling: Yes
Supports Reasoning Effort: Yes

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