GPT-6 Sol
OpenAI · released Sep 22, 2026
GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...
Specification
- Context window
- 1.05M
- Max output
- 128K
- Knowledge cutoff
- Not stated
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 3
- Moderated
- Yes
- Uptime
- 100.0%
Intelligence
47.6
96th percentile
Coding
—
Coding Index
Agentic
—
Agentic Index
Output speed
77 t/s
Median across providers
Latency
1.89s
Time to first token
Cost per task
$0.90
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- AA-LCR (long context)83.7%
- SciCode57.6%
- Humanity's Last Exam47.9%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| AA-LCR (long context) | 83.7% |
| SciCode | 57.6% |
| Humanity's Last Exam | 47.9% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- Claude Fable 5Anthropic49.6
- Muse Spark 1.3Meta48.1
- GPT-6 SolOpenAI47.6
- GPT-5.6 SolOpenAI47.0
- Grok 4.7xAI46.4
- MiMo-V2.6-ProXiaomi46.3
- 45.4
- GLM 5.3Z.ai44.8
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| Claude Fable 5 | 49.6 |
| Muse Spark 1.3 | 48.1 |
| GPT-6 Sol | 47.6 |
| GPT-5.6 Sol | 47.0 |
| Grok 4.7 | 46.4 |
| MiMo-V2.6-Pro | 46.3 |
| Qwen3.8 Max (0902) | 45.4 |
| GLM 5.3 | 44.8 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $2
- Output / 1M tokens
- $10
- Cached input / 1M
- $0.2
- Blended 3:1
- $4
One task, estimated
$0.90
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.
Arena
Head-to-head generation quality
Elo from pairwise judgements, broken out by the kind of thing the model was asked to build.
- Overall Elo
- 1,326
- Win rate
- 58.4%
- Strongest at
- SVG
- Tournaments
- 519
Elo by category
Dot position on a 1,225–1,350 scale · Elo has no meaningful zero
- 1,326
- 1,321
- 1,317
- 1,293
- 1,291
- 1,268
- 1,237
Agent categories (full-stack apps, mobile apps) are only scored for models tested in agent harnesses.
View as table
| Category | Elo | Win rate |
|---|---|---|
| SVG | 1326 | 58.4% |
| Game development | 1321 | 55.0% |
| 3D scenes | 1317 | 54.6% |
| Websites | 1293 | 52.0% |
| UI components | 1291 | 50.8% |
| Data visualisation | 1268 | 51.1% |
| Full-stack apps | 1237 | 52.0% |