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Data

Data as of October 20, 2026 · How the score is built

Superseded.OpenAI has newer models in this line:GPT-4.1 mini
SupersededProprietaryNon-Reasoning

Released Jul 18, 2024128K context

GPT-4o mini

Decision readingGPT-4o mini scores 26.7 out of 100 and ranks #207 of 227. This profile shows 2 source-displayable benchmark rows; its strongest eligible category is Coding at #151. API pricing is $0.15 input and $0.6 output per million tokens.

Released Jul 18, 2024 — see all recent releases

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

26.7/100

field median 49.8#207 of 227 ranked models

Public

#207of 227

Verified #82 of 87

Price

$0.15input / $0.60 output

input median $0.72blended $0.38

Speed

33tok/s

field median 93.5 tok/sFirst token 3.16 s

Context

128Ktokens

field median 256,000Reported for this model; direct source link not stored

Strongest published evidence

Coding ranks #151. Particularly well-suited for software development and code generation tasks.

Validate before choosing

2 published rows leave some tracked benchmark slots empty. Knowledge is its lowest eligible category at #181.

Source-linked · 2 displayable benchmark rows

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 scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measured
Not measured
CodingRank #151 of 152Percentile 1stWeight 20%1 benchmarkReported
7.6
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank #181 of 187Percentile 3rdWeight 12%1 benchmarkReported
21.6
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathWeight 5%0 benchmarksNot measured
Not measured

2 of 726 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

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.

  1. AgenticNot measured
  2. Coding0/1 verified
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. Knowledge0/1 verified
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. MathNot measured
Verified sourceProvisionalNot measured

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-4o mini category percentile values

  • AgenticNot eligible
  • Coding1st percentile
  • ReasoningNot eligible
  • MultimodalNot eligible
  • Knowledge3rd percentile
  • MultilingualNot eligible
  • Instruction followingNot eligible
  • MathNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. AgenticNot ranked
  2. Coding#151/152
  3. ReasoningNot ranked
  4. MultimodalNot ranked
  5. Knowledge#181/187
  6. MultilingualNot ranked
  7. Inst. FollowingNot ranked
  8. MathNot ranked
Top decileTop quartileMid-fieldNot eligible

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
Coding benchmark values, best verified comparison, weight, and source status
HumanEvalEvaluating Large Language Models Trained on CodeScore87.2%Versus best verified row

Best verified: o4-mini · 97.3%

Gap10.1 behindWeightDisplay only
Knowledge1 row
Knowledge benchmark values, best verified comparison, weight, and source status
MMLUMassive Multitask Language UnderstandingScore82%Versus best verified row

Best verified: o1 · 91.8%

Gap9.8 behindWeightDisplay only

Bars run 0–100; the dark tick marks the best source-verified value

All 2 rows

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.

Current modelExplore all models

GPT-4o mini · 26.7 score · $0.38 blended per million tokens

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

2030405060708090100$0.10$0.50$1$5$10$25$50$100↘ frontierGPT-4o mini

Horizontal: blended price per million tokens, log scale · Vertical: public score

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.

0122024-072026-04Output priceInput price

2 dated first-party price records. The newest record lists $0.6 per million tokens.

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.

  1. Jul 18, 2024 · you are here

    GPT-4o mini

    Score 26.7 · $0.15 / $0.6

  2. Apr 14, 2025

    GPT-4.1 mini

    Score 29.2 · $0.4 / $1.6

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
128K
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
Superseded
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.

GPT-4o mini ranks #207 of 227 on the public leaderboard with a score of 26.73/100. Its source-verified position is #82 of 87.

GPT-4o mini is a proprietary model with a 128K context window. No explicit reasoning mode is documented in this profile.

GPT-4o mini sits in the GPT-4o family with GPT-4o. 2 of 726 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Coding at #151, while its lowest eligible position is Knowledge at #181. particularly well-suited for software development and code generation tasks.

Last updated October 20, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Where to run GPT-4o mini by API

OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on October 20, 2026.

Inference hosts for GPT-4o mini with input, output and cached-input prices per million tokens.
HostInput /1MOutput /1MCached /1MContext
OpenRouter$0.15$0.60$0.075128K
Compare inference hosts

Questions

How does GPT-4o mini perform overall in AI benchmarks?

GPT-4o mini ranks #207 out of 227 models on the public BenchAlign leaderboard, with a score of 26.73/100. Its evidence status is Supported, and this profile shows 2 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is GPT-4o mini good for knowledge and understanding?

GPT-4o mini ranks #181 out of 187 eligible models for knowledge and understanding, with a public category score of 21.6/100. 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-4o mini good for coding and programming?

GPT-4o mini ranks #151 out of 152 eligible models for coding and programming, with a public category score of 7.6/100. 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-4o mini?

GPT-4o mini belongs to the GPT-4o family. Related tracked variants include GPT-4o. 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-4o mini have full benchmark coverage on BenchLM?

No. GPT-4o mini currently has 10 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 GPT-4o mini?

GPT-4o mini has a reported context window of 128K 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.

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Compare GPT-4o mini with every tracked model971 comparisons