Balanced GPT-6 model: near-flagship quality at a fifth of Astra's price. Long-context requests (above 272K input) bill at $4 input / $15 output per 1M. Built by OpenAI.
Prices updated
Input price
$2.00
per 1M tokens · Standard
Output price
$10
per 1M tokens · Standard
Input limit
1.1M
tokens
Output limit
128K
tokens
Input formats
Output formats
GPT-6 Sol price history
2 price records since 9/25/2026
GPT-6 Sol cost calculator
$90/month
Standard pricing
Overview
What is GPT-6 Sol?
GPT-6 Sol is a text & reasoning and code & slms and vision model from OpenAI. Balanced GPT-6 model: near-flagship quality at a fifth of Astra's price. Long-context requests (above 272K input) bill at $4 input / $15 output per 1M. Its 1.1M context window and $2.00 input price make it a candidate for quality-focused production applications.
Benchmarks
GPT-6 Sol benchmarks & speed
How GPT-6 Sol scores on standardized evaluations, and where it lands among every model we track.
47.6
Intelligence Index
107tok/s
Output speed
1300
DesignArena Elo
Reasoning
HLE
47.9%
Humanity's Last Exam · top 7%
Coding
SciCode
57.6%
Python for scientific computing · top 12%
Latency & design
- Time to first token
- 107.76s
- DesignArena win rate
- 53.2%
- Design battles judged
- 2,494
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GPT-6 Sol pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$2.00
Per 1M tokens
Cached input · Standard
$0.20
Per 1M tokens
Capabilities
GPT-6 Sol Tools
Tools available when using GPT-6 Sol through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 47.6 · DesignArena Elo 1300 · Arena Elo 1266 · MMLU-Pro 84.6%) position it for demanding production work.
- 1.1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and code & slms and vision workloads in one model.
Limitations
- Generated tokens cost 5× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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