Data as of November 13, 2026 · How the score is built
Decision readingo4-mini (high) is tracked, but not publicly ranked yet. The profile exposes 8 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Email me when its price, rank or availability changes.
Capability
Unranked
field median 49.4Not eligible for a public rank
Price
API rate not published
input median $0.60No comparable first-party hosted token rate
Speed
149tok/s
field median 92 tok/sFirst token 14.46 s
Context
200Ktokens
field median 256,000Reported for this model; direct source link not stored
Decision snapshot
How much published evidence this model has, where that evidence is strongest, and what to validate before choosing it. It has no public rank, so no field position is shown.
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
8 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 8 displayable benchmark rows
Is o4-mini (high) right for your job?
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Where o4-mini (high) ranks by benchmark score:
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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 |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| CodingRank Not rankedWeight 20%1 benchmarkVerified | 71.5 | 1 benchmark | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank Not rankedWeight 12%2 benchmarksVerified | 57.0 | 2 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathRank Not rankedWeight 5%3 benchmarksMixed sources | 41.2 | 3 benchmarks | Mixed sources |
8 of 919 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
- ReasoningNot measured
- MultimodalNot measured
- Knowledge2/2 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- Math2/3 verified
Benchmark ledger
Every result says who ran the test. Coding opens by default. The tick marks the best source-verified result in the catalog; provisional leaders do not set the reference.
Coding1 row
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | 82.2% | Best verified: Claude Fable 5.1 · 90.5% | Gap8.3 behind | Independent run: Vals AI | Weighted benchmark8% ref. weight |
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | 80.6% | Best verified: Claude Fable 5.1 · 92.4% | Gap11.8 behind | Independent run: Vals AI | Weighted benchmark6% ref. weight |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | 74.5% | Best verified: Gemini 3.1 Pro · 95.5% | Gap21 behind | Independent run: Vals AI | Weighted benchmark2% ref. weight |
Math3 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | 36.140% | Best verified: Claude Fable 5.2 · 95.088% | Gap58.9 behind | Run by FrontierMath v2 (Tiers 1-3) | Weighted benchmarkWeighted 30% |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | 4.878% | Best verified: Claude Fable 5.2 · 100.000% | Gap95.1 behind | Run by FrontierMath v2 (Tier 4) | Weighted benchmarkWeighted 10% |
| AIME 2025American Invitational Mathematics Examination 2025 | 92.7% | Best verified: GPT-5.2 · 100% | Gap7.3 behind | Another lab’s comparison table | Shown only |
External signals2 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| Chess PuzzlesChess Puzzles (Epoch AI) | 13.0% | Best verified: Claude Fable 5.2 · 79.0% | Gap66 behind | Run by Chess Puzzles | Shown only |
| Mystery Game PuzzlesMystery Game Puzzles (Epoch AI) | 5.0% | Best verified: Claude Fable 5.2 · 90.0% | Gap85 behind | Run by Mystery Game Puzzles | Shown only |
Outlined bars are lab-reported. Filled bars are benchmark-run or independent. Bars run 0–100; the dark tick marks the best source-verified value.
Lineage
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.
reasoning · high
o4-miniSpec 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 published
- Context window
- 200K
- 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
- Not documented in the pricing record
- 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 o4-mini (high), but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
o4-mini (high) is a proprietary model with a 200K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
o4-mini (high) sits in the o4-mini family with o4-mini. 8 of 919 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated November 13, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does o4-mini (high) perform overall in AI benchmarks?
o4-mini (high) has 8 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 o4-mini (high) good for knowledge and understanding?
o4-mini (high) 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 o4-mini (high) good for coding and programming?
o4-mini (high) 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 o4-mini (high) good for mathematics?
o4-mini (high) 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.
Which sibling models are related to o4-mini (high)?
o4-mini (high) belongs to the o4-mini family. Related tracked variants include o4-mini. 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 o4-mini (high) have full benchmark coverage on BenchLM?
No. o4-mini (high) currently has 9 source-displayable rows. 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 o4-mini (high)?
o4-mini (high) has a reported context window of 200K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.