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OpenAI: GPT-5.6 Sol (new) Coding Benchmark

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...

Context1,050,000tokens
Max Output128,000tokens
Inputmodalities
Price$5.00/1M input
Ranks from Kilo Code LeaderboardPricing via OpenRouter

Try OpenAI: GPT-5.6 Sol (new) in Kilo Code

Experience this model with the most popular open source coding agent. Free to start, pay only for AI usage. Use in popular IDEs like VS Code, JetBrains, command line, or cloud agents.

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OpenClaw Benchmarks

PinchBench measures how OpenAI: GPT-5.6 Sol (new) performs on real OpenClaw agent tasks: multi-step execution, tool use, recovery, latency, and cost.

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Best models for OpenClaw

Average score

84.2%

#12 of 50 official models

Average time

265m 16s

5 runs · per OpenClaw task

Average cost

$69.232

Per benchmark run

Category breakdown

Best verified PinchBench v2 run by OpenClaw task family.

Memory100.0% · 2/2 cleared
Integrations96.4% · 0/3 cleared
Productivity96.0% · 4/8 cleared
Analysis95.4% · 5/12 cleared

Top task results

Highest-scoring benchmark tasks from the same submission.

Analysis
Access Control Log Anomaly Detection
100.0%
Log Analysis
Apache Error Log - Identify Problematic Client IPs
100.0%
Productivity
Calendar Event Creation
100.0%
Skills
Create Project Structure
100.0%
Research
Executive Lookup
100.0%
Skills
File Structure Creation
100.0%

Autonomous task execution

OpenAI: GPT-5.6 Sol (new) shows strong average success across OpenClaw-style benchmark runs, useful for recurring research, browser, and file-based automations.

Tool use and recovery

PinchBench tasks stress multi-step planning, tool calls, and judge-verified completion rather than single prompt coding snippets.

Agent workflow fit

Its deliberate average runtime and premium run cost help set expectations for long-running KiloClaw agents and production workflows.

Agentic benchmarks from the PinchBench Leaderboard

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

No ranking data available for this model yet.

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$5.00
per 1M tokens
Output Tokens
$30.00
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.5000

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Specifications
Model ID
openai/gpt-5.6-sol
Created
July 9, 2026
Tokenizer
GPT
Input Modalities
FileImageText
Context Window
1,050,000 tokens
Max Completion Tokens
128,000 tokens
Input Price
$5.00 per 1M tokens
Output Price
$30.00 per 1M tokens
Cache Read Price
$0.50 per 1M tokens
Cache Write Price
$6.25 per 1M tokens
Content Moderation
Enabled

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