OpenAIGPT-5.6 Sol Pro
GPT-5.6 Sol Pro is an OpenAI proprietary model, released 9 Jul 2026. It is not yet ranked: 3 independent results so far, and the index needs at least five across two categories. At $8.00 per million tokens blended it is among the most expensive ranked models. Output speed of 102 tokens per second puts it faster than most, with a first token in 8.4 s. It has been measured at 3 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 9 Jul 2026.
- Blended price
- $8.00/M
- $4.00 in · $20.00 out
- Output speed
- 102 tok/s
- OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
- First answer
- 8.41 s
- Context
- 1.1M
- Full answer
- –
- Cost per run
- –
- Released
- 9 Jul 2026
- Coding77
- Agents & tools51
- Maths69
Versions
OpenAI has shipped 3 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| GPT-6 Sol Pro | 22 Sept 2026 | – | – |
| GPT-5.6 Sol Promaxthis page | 9 Jul 2026 | – | – |
| GPT-6.1 Sol Pro | – | – | – |
Reasoning-effort configurations
The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.
| Effort | Index | Rank | Speed | First answer | Chat reply cost | Categories |
|---|---|---|---|---|---|---|
| xhigh | – | – | 102 tok/s | 8.41 s | $0.0076 | Reasoning 68 |
| maxbest | – | – | 102 tok/s | 8.41 s | $0.0076 | Agents & tools 51 · Coding 77 · Maths 69 |
| not stated | – | – | 102 tok/s | 8.41 s | $0.0076 | Reasoning 68 |
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | xhigh | max | not stated | Source | Trend |
|---|---|---|---|---|---|
| SimpleBench | 71.7%#11 | – | 71.7%#11 | SimpleBench | |
| Chess Puzzlesnot in index | – | 68.0%#3 | – | Epoch AI Benchmarking Hub | |
| LMCAnot in index | – | 59.2%#35 | – | Epoch AI Benchmarking Hub | |
| DTBenchnot in index | – | 96.0%#30 | – | Epoch AI Benchmarking Hub | |
| ForecastBenchnot in index | – | 65.6%#10 | – | ForecastBench |
Agents & tools
| Benchmark | max | Source | Trend |
|---|---|---|---|
| APEX-Agents | 51.4%#27 | Mercor |
Maths
| Benchmark | max | Source | Trend |
|---|---|---|---|
| FrontierMath Tier 4 | 80.5%#13 | Epoch AI Benchmarking Hub |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Azure | 96 tok/s | 2.50 s | $4.00 | $20.00 | 1.1M | – |
| OpenAI | 96 tok/s | 7.99 s | $4.00 | $20.00 | 1.1M | – |
Price history
The price above, per 1M tokens, every day it changed.
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0076 | – | 11.3 s |
| Summarize a 30-page report | 12,000 / 600 | $0.060 | – | 14.3 s |
| Code edit | 6,000 / 1,500 | $0.054 | – | 23.1 s |
| Agentic coding session | 60,000 / 4,000 | $0.320 | – | 47.6 s |
| Structured extraction | 2,000 / 200 | $0.012 | – | 10.4 s |
More from OpenAI
See also
Questions people ask
- Why does GPT-5.6 Sol Pro have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 24 Oct 2026 GPT-5.6 Sol Pro has 3 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does GPT-5.6 Sol Pro cost per 1M tokens?
- As of 24 Oct 2026, GPT-5.6 Sol Pro costs $4.00 per 1M input tokens and $20.00 per 1M output tokens, $8.00 blended (three input tokens per output token). The list price last changed on 15 Oct 2026.
- When was GPT-5.6 Sol Pro released?
- OpenAI released GPT-5.6 Sol Pro on 9 Jul 2026. BenchLeader has results for it at 3 reasoning-effort settings.
Data as of 24 Oct 2026. Compare these configurations.
Cite as: BenchLeader, “GPT-5.6 Sol Pro: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/gpt-5-6-sol-pro.