o1-mini released
OpenAI · Model release
Source confirmed
Data as of October 14, 2026 · How the score is built
EstablishedProprietaryReasoning
o1-mini
Decision readingo1-mini is tracked, but not publicly ranked yet. The profile exposes 7 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Sep 12, 2024 — see all recent releases
o1-mini will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
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.
Capability
Unranked
field median 49.8Not eligible for a public rank
Price
$1.10input / $4.40 output
input median $0.80cached $0.55 · blended $2.75
Speed
Not measured
field median 90 tok/sTime to first token not measured
Context
128Ktokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
7 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
Source-linked · 7 displayable benchmark rows
Follow model changesCategory 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 |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| CodingWeight 20%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| ReasoningWeight 17%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank Not rankedWeight 12%3 benchmarksVerified | 44.4 | 3 benchmarks | Verified | |||
| MultilingualWeight 7%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%1 benchmarkVerified | Score pending | 1 benchmark | Verified |
7 of 670 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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.
- AgenticNot measured
- Coding1/1 verified
- Reasoning1/1 verified
- MultimodalNot measured
- Knowledge3/3 verified
- Multilingual1/1 verified
- Inst. FollowingNot measured
- Math1/1 verified
Verified sourceProvisionalNot 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 |
|---|---|---|---|---|---|
| HumanEvalEvaluating Large Language Models Trained on Code | Score92.4% | Versus best verified row Best verified: o4-mini · 97.3% | Gap4.9 behind | WeightDisplay only | Provider exact |
Reasoning1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| DROPDiscrete Reasoning Over Paragraphs | Score83.9% | Versus best verified row Best verified: o1-mini · 83.9% | GapBest verified | WeightDisplay only | Provider exact |
Knowledge3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| GPQAGraduate-Level Google-Proof Q&A | Score60% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap36 behind | Weight3% ref. weight | Provider exact |
| MMLUMassive Multitask Language Understanding | Score85.2% | Versus best verified row Best verified: o1 · 91.8% | Gap6.6 behind | WeightDisplay only | Provider exact |
| SimpleQAMeasuring Short-Form Factuality in Large Language Models | Score7.6% | Versus best verified row Best verified: GPT-4.5 · 62.5% | Gap54.9 behind | WeightDisplay only | Provider exact |
Multilingual1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MGSMMultilingual Grade School Math | Score89.9% | Versus best verified row Best verified: o4-mini · 93.7% | Gap3.8 behind | WeightDisplay only | Provider exact |
Math1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MATH-500MATH-500 Problem Set | Score90% | Versus best verified row Best verified: Ternary Bonsai 2 27B · 98.8% | Gap8.8 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 7 rowsLineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Radar
Full release historyo1-mini release history
Radar confirmed these at the source. Use o1-mini in your work? Explore Radar to follow supported changes and choose your alerts.
Radar
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
- Not publishedOpenAI o1-mini model documentation
- Context window
- 128KOpenAI o1-mini model documentation
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not disclosed by the provider
- Availability
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Established
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Published at $0.55 per million cached input tokensOpenAI o1-mini model documentation
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
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.
We track o1-mini, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
o1-mini is a proprietary model with a 128K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Official exact values from OpenAI's simple-evals results table, row o1-mini. BenchLM stores mmlu, gpqa, simpleQa, humaneval, math500, mgsm, drop. Each value's source and evaluation setting is recorded in row-level source verification. Kept out of rankings because the published results cover few of the benchmarks BenchLM ranks on.
7 of 670 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated October 14, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does o1-mini perform overall in AI benchmarks?
o1-mini has 7 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is o1-mini good for knowledge and understanding?
o1-mini has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is o1-mini good for coding and programming?
o1-mini has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is o1-mini good for mathematics?
o1-mini has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is o1-mini good for reasoning and logic?
o1-mini has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is o1-mini good for multilingual tasks?
o1-mini has source-displayable benchmark coverage for multilingual tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Does o1-mini have full benchmark coverage on BenchLM?
No. o1-mini currently has 7 source-displayable rows across 670 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 o1-mini?
o1-mini has a documented context window of 128K. 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.