GPT-6 Sol
Pricing & Specs
OpenAI · $2 input / $10 output per 1M tokens · 1.05M context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on GPT-6 Sol costs about $0.0070, roughly $7.00 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
GPT-6 Sol API Pricing
| Tokens | Price |
|---|---|
| Input | $2 / 1M tokens |
| Output | $10 / 1M tokens |
| Cached input | $0.2 / 1M tokens |
Prompts >272K tokens priced at 2x input and cache rates, 1.5x output. Cache writes at 1.25x uncached input rate ($2.50/MTok). Batch and Flex at 50% of Standard. Fast mode at 2x. Regional processing +10%.
What that means in practice
GPT-6 Sol Specs
| Spec | Value |
|---|---|
| Context window | 1.05M tokens |
| Max output tokens | 128K tokens |
| Input modalities | text, image |
| Output modalities | text |
| Knowledge cutoff | April 20, 2026 |
| Reasoning model | Yes |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | Yes |
| Batch API | Yes |
Notes
Built for complex coding and agentic workflows. Superseded by gpt-6.1-sol. Effort levels: none, low, medium (default), high, xhigh, max. Chat Completions supports function calling only with reasoning_effort none; use Responses API otherwise.
FAQ
How much does GPT-6 Sol cost?
GPT-6 Sol costs $2 per 1M input tokens and $10 per 1M output tokens ($0.2 per 1M cached input tokens).
What is GPT-6 Sol's context window?
GPT-6 Sol has a 1.05M-token context window. Maximum output is 128K tokens.
Can I test GPT-6 Sol on my own task?
Yes. OpenMark lets you benchmark GPT-6 Sol against 100+ models on your own task with real API calls, with no API keys needed, free tier available.
Is GPT-6 Sol the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload: real API calls, real costs. Free tier available.