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GPT-5.6 Sol (batch) pricing & benchmarks

GPT-5.6 Sol (batch) is available from OpenAI at $2.50 per million input tokens and $15.00 per million output tokens ($5.63 blended at 3:1). It accepts up to 1,050,000 tokens of context. 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...

Pricing
Per million tokens · OpenRouter
Input$2.50
Output$15.00
Blended (3:1)$5.63
Specification
openai/gpt-5.6-sol:batch
Context window1.1M
Max output128K
ReleasedJul 2026
LicenceProprietary
Modalitiesin:text, in:image, in:file, out:text
No independently-run benchmark scores are published for GPT-5.6 Sol (batch) yet. We show nothing rather than reprinting an unverified figure.
Where to run GPT-5.6 Sol (batch)
3 options across 1 provider · 4.0× between cheapest and dearest. Blended at 3:1. ⚠ marks an option serving less context than the best available, or re-pricing above a prompt-length threshold. Bracketed labels are the provider's own service tier or region.
HostBlended $/1MIn / OutContextUptime 24h
OpenAI (flex)
⚠ re-prices above 272K prompt tokens ($2.50/$11.25)
 $2.81 $1.25 / $7.50 1.1M —
OpenAI
⚠ re-prices above 272K prompt tokens ($5.00/$22.50)
 $5.63 $2.50 / $15.00 1.1M —
OpenAI (priority) $11.25 $5.00 / $30.00 1.1M —
Host prices and uptime from OpenRouter, synced 2026-08-08.
Compare GPT-5.6 Sol (batch)
GPT-5.6 Sol (batch) vs Qwen3.8 Max GPT-5.6 Sol (batch) vs DeepSeek V4 Flash 0731 GPT-5.6 Sol (batch) vs Claude Opus 5 GPT-5.6 Sol (batch) vs Gemini 3.6 Flash GPT-5.6 Sol (batch) vs Kimi K3 GPT-5.6 Sol (batch) vs Grok 4.5 GPT-5.6 Sol (batch) vs Claude Sonnet 5 GPT-5.6 Sol (batch) vs GLM 5.2
FAQ
How much does GPT-5.6 Sol (batch) cost?
GPT-5.6 Sol (batch) costs $2.50 per million input tokens and $15.00 per million output tokens on OpenRouter. At a 3:1 input:output mix that blends to $5.63 per million tokens.
What is GPT-5.6 Sol (batch)'s context window?
GPT-5.6 Sol (batch) accepts up to 1,050,000 tokens of context, and can generate up to 128,000 output tokens.