openai
GPT-6 Sol Pro vs GPT-6 Sol
79.2 overall · $4.00 / 1M
// openai
GPT-6 Sol Pro
openai/gpt-6-sol-pro
GPT-6 Sol Pro costs $2.00 per 1M input tokens and $10.00 per 1M output tokens with a 1.1M-token context window.
A reasoning, tool-calling model from openai, released Sep 22, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $2.00
- Output / 1M
- $10.00
- Context
- 1.1M
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $2.00 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $10.00 |
| Blended price 3:1 input:output — #53 most expensive of 343 listed models | $4.00 |
| Cached input read Blank means not priced separately — not free | $0.200 |
| Cache write | $2.50 |
| Context window | 1,050,000 tokens |
| Max output | 128,000 tokens |
| Input modalities | file, image, text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Sep 22, 2026 |
Also listed as openai/gpt-6-sol-pro:batch ($2.00 blended)— the same model at a different price or rate limit.
What GPT-6 Sol Pro costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $1,150/mo |
| RAG assistant 8K in / 600 out × 100K requests | $1,480/mo |
| Coding agent 40K in / 4K out × 20K requests | $1,392/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $2,660/mo |
| Bulk classification 500 in / 20 out × 5M requests | $5,100/mo |
Compare GPT-6 Sol Pro with
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GPT-6 Sol Pro FAQ
How much does GPT-6 Sol Pro cost?
GPT-6 Sol Pro lists at $2.00 per 1M input tokens and $10.00 per 1M output tokens, with cached input reads at $0.200 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $1,480 at list price.
What is the context window of GPT-6 Sol Pro?
GPT-6 Sol Pro accepts up to 1,050,000 tokens of context and can return up to 128,000 output tokens per response.
Does GPT-6 Sol Pro support tool calling?
Yes — GPT-6 Sol Pro supports tool (function) calling and exposes extended reasoning. It accepts file, image, text input.
How does GPT-6 Sol Pro score on benchmarks?
LiveBench has not published a run for GPT-6 Sol Pro yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for GPT-6 Sol Pro?
On OpenRouter the model ID is "openai/gpt-6-sol-pro". It was listed on Sep 22, 2026.
More from openai
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.