Capability
34.5/100
field median 58.1
#204 of 232 ranked models
GPT-4.1 mini
Released Apr 14, 2025 — see all recent releases
Decision reading
GPT-4.1 mini scores 34.5 out of 100 and ranks #204 of 232. This profile shows 5 source-displayable benchmark rows; its strongest eligible category is Instruction Following at #93. API pricing is $0.4 input and $1.6 output per million tokens.
Data as of September 4, 2026 · How the score is built
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Strongest published evidence
Instruction Following ranks #93. A well-rounded choice across a range of tasks.
Validate before choosing
5 published rows leave some tracked benchmark slots empty. Knowledge is its lowest eligible category at #159.
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
$0.40input / $1.60 output
input median $1
blended $1
Speed
80tok/s
field median 92 tok/s
First token 0.76 s
Context
1Mtokens
field median 256,000
Reported for this model; direct source link not stored
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-4.1 mini category percentile values
- AgenticNot eligible
- Coding16th percentile
- ReasoningNot eligible
- Knowledge12th percentile
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction following23rd percentile
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- AgenticNot ranked
- Coding#153/183
- ReasoningNot ranked
- Knowledge#159/181
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. Following#93/120
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-4.1 mini · 34.5 score · $1 blended per million tokens
Horizontal: blended price per million tokens, log scale · Vertical: public score
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.
- AgenticNot measured
- Coding1/1 verified
- ReasoningNot measured
- Knowledge2/2 verified
- Math1/1 verified
- MultilingualNot measured
- MultimodalNot measured
- Inst. Following1/1 verified
Verified sourceProvisionalNot measured
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 published
- Context window
- 1M
- 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
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 | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingRank #153 of 183Percentile 16thWeight 20%1 benchmarkVerified | 37.1 | #153 of 183 | 16th | 20% | 1 benchmark | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #159 of 181Percentile 12thWeight 12%2 benchmarksVerified | 35.8 | #159 of 181 | 12th | 12% | 2 benchmarks | Verified |
| MathRank Not rankedWeight 5%1 benchmarkVerified | 28.5 | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingRank #93 of 120Percentile 23rdWeight 5%1 benchmarkVerified | 44.2 | #93 of 120 | 23rd | 5% | 1 benchmark | Verified |
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 |
|---|---|---|---|---|---|
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score23.6% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap72.4 behind | WeightWeighted 10% | Provider exact |
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| GPQAGraduate-Level Google-Proof Q&A | Score64.2% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap31.8 behind | WeightWeighted 7% | Provider exact |
| MMLUMassive Multitask Language Understanding | Score87.5% | Versus best verified row Best verified: o1 · 91.8% | Gap4.3 behind | WeightDisplay only | Provider exact |
Math1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score4.483% | Versus best verified row Best verified: GPT-5.6 Sol · 89.000% | Gap84.5 behind | WeightWeighted 30% | Benchmark exact |
Inst. Following1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFEvalInstruction-Following Eval | Score88.5% | Versus best verified row Best verified: Qwen3.5-27B · 95% | Gap6.5 behind | WeightDisplay only | Provider exact |
Published price history
This chart appears only when at least two dated first-party price records exist for the exact model. It shows rate changes, not an inferred cost trend.
2 dated first-party price records. The newest record lists $1.6 per million tokens.
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.
Jul 18, 2024
GPT-4o miniNot publicly ranked · $0.15 / $0.6
Apr 14, 2025 · you are here
GPT-4.1 miniScore 34.5 · $0.4 / $1.6
Mini
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-4.1 mini ranks #204 of 232 on the public leaderboard with a score of 34.46/100. It does not yet have enough sourced coverage for a verified position.
GPT-4.1 mini is a proprietary model with a 1M context window. No explicit reasoning mode is documented in this profile.
GPT-4.1 mini sits in the GPT-4.1 family with GPT-4.1, GPT-4.1 nano. Its explicit predecessor is GPT-4o mini. 5 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Instruction Following at #93, while its lowest eligible position is Knowledge at #159. a well-rounded choice across a range of tasks.
Radar
Full release historyGPT-4.1 mini release history
GPT-4.1 family released
OpenAI · Model release
Source confirmed
Radar confirmed these at the source. Already tracking GPT-4.1 mini? See the free Radar Brief for what changes next.
Frequently asked questions
How does GPT-4.1 mini perform overall in AI benchmarks?
GPT-4.1 mini ranks #204 out of 232 models on the public BenchAlign leaderboard, with a score of 34.46/100. Its evidence status is Estimated, and this profile shows 5 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is GPT-4.1 mini good for knowledge and understanding?
GPT-4.1 mini ranks #159 out of 181 eligible models for knowledge and understanding, with a public category score of 35.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-4.1 mini good for coding and programming?
GPT-4.1 mini ranks #153 out of 183 eligible models for coding and programming, with a public category score of 37.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Is GPT-4.1 mini good for mathematics?
GPT-4.1 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 GPT-4.1 mini good for instruction following?
GPT-4.1 mini ranks #93 out of 120 eligible models for instruction following, with a public category score of 44.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
Which sibling models are related to GPT-4.1 mini?
GPT-4.1 mini belongs to the GPT-4.1 family. Related tracked variants include GPT-4.1, GPT-4.1 nano. 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-4.1 mini have full benchmark coverage on BenchLM?
No. GPT-4.1 mini currently has 22 source-displayable rows across 422 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-4.1 mini?
GPT-4.1 mini has a reported context window of 1M 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.
Compare GPT-4.1 mini with every tracked model410 comparisons
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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