Capability
80.5/100
field median 56.6
#6 of 236 ranked models
GPT-6 Sol
Decision reading
GPT-6 Sol scores 80.5 out of 100 and ranks #6 of 236. This profile shows 11 source-displayable benchmark rows; its strongest eligible category is Coding at #6. API pricing is $2 input and $10 output per million tokens, with cached input at $0.2.
Released Sep 16, 2026 — see all recent releases
Data as of September 22, 2026 · How the score is built
GPT-6 Sol will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
Check the published record for the model and serving route you use.
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Strongest published evidence
Coding ranks #6. Particularly well-suited for software development and code generation tasks.
Validate before choosing
11 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Price
$2input / $10 output
input median $0.97
cached $0.20 · blended $6
Speed
Not measured
field median 90.5 tok/s
Time to first token not measured
Context
1.05Mtokens
field median 256,000
Maximum output length is tracked separately
How much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic4/4 verified
- Coding1/1 verified
- ReasoningNot measured
- MultimodalNot measured
- Knowledge5/5 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Verified sourceProvisionalNot measured
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #7 of 157Percentile 96thWeight 22%4 benchmarksVerified | 69.7 | #7 of 157 | 96th | 22% | 4 benchmarks | Verified |
| CodingRank #6 of 159Percentile 97thWeight 20%1 benchmarkVerified | 74.3 | #6 of 159 | 97th | 20% | 1 benchmark | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| KnowledgeRank #6 of 189Percentile 97thWeight 12%5 benchmarksVerified | 80.2 | #6 of 189 | 97th | 12% | 5 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| DeepSWE | Score68.8% | Versus best verified row Best verified: Muse Spark 1.3 · 75.4% | Gap6.6 behind | WeightDisplay only | Provider exact |
Agentic4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| AutomationBench | Score33.2% | Versus best verified row Best verified: DeepSeek V4.1 Flash · 54.8% | Gap21.6 behind | WeightWeighted 10% | Provider exact |
| OSWorld 2.0 | Score60.5% | Versus best verified row Best verified: GPT-6 Astra · 72.6% | Gap12.1 behind | WeightWeighted 10% | Provider exact |
| Agents' Last Exam | Score56.4% | Versus best verified row Best verified: GPT-6 Astra · 59.3% | Gap2.9 behind | WeightDisplay only | Provider exact |
| ExploitGym | Score22.1% | Versus best verified row Best verified: GPT-6 Astra · 42.4% | Gap20.3 behind | WeightDisplay only | Provider exact |
Knowledge5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HealthBench (raw)HealthBench raw score | Score47.1% | Versus best verified row Best verified: Claude Opus 5.5 · 68.1% | Gap21 behind | WeightDisplay only | Provider exact |
| HealthBench (length-adjusted)HealthBench length-adjusted score | Score53.2% | Versus best verified row Best verified: Claude Opus 5.5 · 60.6% | Gap7.4 behind | WeightDisplay only | Provider exact |
| HealthBench Professional | Score60.8% | Versus best verified row Best verified: Claude Opus 5.5 · 65.6% | Gap4.8 behind | WeightDisplay only | Provider exact |
| HealthBench Professional (raw)HealthBench Professional raw score | Score59.5% | Versus best verified row Best verified: Claude Opus 5.5 · 77.1% | Gap17.6 behind | WeightDisplay only | Provider exact |
| HealthBench Hard | Score30.1% | Versus best verified row Best verified: Muse Spark · 42.8% | Gap12.7 behind | WeightDisplay only | Provider exact |
External signals1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SEC-Bench Pro | Score66.3% | Versus best verified row Best verified: GPT-6 Astra · 85.4% | Gap19.1 behind | WeightDisplay only | Provider exact |
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
GPT-6 Sol category percentile values
- Agentic96th percentile
- Coding97th percentile
- ReasoningNot eligible
- MultimodalNot eligible
- Knowledge97th percentile
- MultilingualNot eligible
- Instruction followingNot eligible
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#7/157
- Coding#6/159
- ReasoningNot ranked
- MultimodalNot ranked
- Knowledge#6/189
- MultilingualNot ranked
- Inst. FollowingNot ranked
- MathNot ranked
Top decileTop quartileMid-fieldNot eligible
What it costs to get this score
Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Current modelGPT-6 Sol · 80.5 score · $6 blended per million tokens
Horizontal: blended price per million tokens, log scale · Vertical: public score
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- gpt-6-solOpenAI GPT-6 Sol model documentation
- Context window
- 1.05MOpenAI GPT-6 Sol model documentation
- Maximum output
- 128,000 tokensOpenAI GPT-6 Sol model documentation
- Knowledge cutoff
- April 20, 2026OpenAI GPT-6 Sol model documentation
- Input modalities
- text, imageOpenAI GPT-6 Sol model documentation
- Output modalities
- textOpenAI GPT-6 Sol model documentation
- Parameters
- Not disclosed by the provider
- Availability
- OpenAI Responses API · OpenAI Chat Completions API · ChatGPT Work · CodexOpenAI GPT-6 Sol and Luna launch
- Cloud regions
- Not tracked yet
- Lifecycle
- activeOpenAI GPT-6 Sol model documentation
- API capabilities
- Streaming · function calling · structured outputs · web/file search · image generation · code interpreter · hosted shell · apply patch · skills · computer use · MCP · tool searchOpenAI GPT-6 Sol model documentation
- Prompt caching
- Published at $0.20 per million cached input tokensOpenAI GPT-6 Sol model documentation
- Self-host
- Weights are not published
- Rate limits
- Tier 1: 500 RPM / 500K TPM; Tier 5: 15K RPM / 40M TPM; Free unsupportedOpenAI GPT-6 Sol model documentation
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Mar 5, 2026
GPT-5.4Score 71.0 · $2.5 / $15
Apr 23, 2026
GPT-5.5Score 71.7 · $5 / $30
Jul 9, 2026
GPT-5.6 SolScore 80.3 · $4 / $20
Sep 16, 2026 · you are here
GPT-6 SolScore 80.5 · $2 / $10
sol · sol
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
GPT-6 Sol ranks #6 of 236 on the public leaderboard with a score of 80.45/100. It does not yet have enough sourced coverage for a verified position.
GPT-6 Sol is a proprietary model with a 1.05M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Released September 16, 2026 in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu users, and in the OpenAI API as gpt-6-sol. OpenAI documents Responses API support for built-in tools and function calling; Chat Completions supports function calling when reasoning_effort is set to none.
OpenAI documents GPT-6 Sol as a distinct API model for complex coding and agentic workflows, with configurable reasoning, text and image input, text output, and a 1,050,000-token context window. OpenAI publishes an initial set of provider-run measurements; the model stays unranked until comparable independent benchmark coverage reaches BenchLM's threshold.
GPT-6 Sol sits in the GPT-6 family with GPT-6 Astra, GPT-6 Luna. Its explicit predecessor is GPT-5.6 Sol. 11 of 481 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Coding at #6, while its lowest eligible position is Agentic at #7. particularly well-suited for software development and code generation tasks.
Radar
Full release historyGPT-6 Sol release history
GPT-6 Sol and GPT-6 Luna released
OpenAI · Model release
Source confirmed
Radar confirmed these at the source. Use GPT-6 Sol in your work? Explore Radar to follow supported changes and choose your alerts.
Questions
How does GPT-6 Sol perform overall in AI benchmarks?
GPT-6 Sol ranks #6 out of 236 models on the public BenchAlign leaderboard, with a score of 80.45/100. Its evidence status is Estimated, and this profile shows 11 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is GPT-6 Sol good for knowledge and understanding?
GPT-6 Sol ranks #6 out of 189 eligible models for knowledge and understanding, with a public category score of 80.2/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-6 Sol good for coding and programming?
GPT-6 Sol ranks #6 out of 159 eligible models for coding and programming, with a public category score of 74.3/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-6 Sol good for agentic tool use and computer tasks?
GPT-6 Sol ranks #7 out of 157 eligible models for agentic tool use and computer tasks, with a public category score of 69.7/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.
Which sibling models are related to GPT-6 Sol?
GPT-6 Sol belongs to the GPT-6 family. Related tracked variants include GPT-6 Astra, GPT-6 Luna. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does GPT-6 Sol have full benchmark coverage on BenchLM?
No. GPT-6 Sol currently has 24 source-displayable rows across 481 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of GPT-6 Sol?
GPT-6 Sol has a documented context window of 1.05M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.
Compare GPT-6 Sol with every tracked model504 comparisons
Last updated September 22, 2026. Runtime fields remain blank until a sourced snapshot exists.
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