OpenAIGPT-4o mini
Best configuration ranks #589 of 610 on the BenchLeader Index at 35.8 ±4.3. Last measured 2 Sept 2026. Released 18 Jul 2024.
- Blended price
- $0.262/M
- $0.150 in · $0.600 out
- Output speed
- 147 tok/s
- First answer
- 0.89 s
- first token 1.17 s
- Context
- 128k
- Overall index36
- Reasoning30
- Coding29
- Maths32
- Knowledge23
- Instruction following35
- Human preference48
- Multimodal33
- Composite37
Reasoning-effort configurations
The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Default” means the publisher did not say which setting was used.
| Effort | Index | Rank | Speed | First answer | Chat reply cost | Categories |
|---|---|---|---|---|---|---|
| high | 32.9 | #603 | 147 tok/s | 0.89 s | $0.0002 | Coding 14 · Knowledge 29 · Maths 35 |
| defaultbest | 35.8 | #589 | 147 tok/s | 0.89 s | $0.0002 | Coding 29 · Composite 37 · Human preference 48 · Instruction following 35 · Knowledge 23 · Maths 32 · Multimodal 33 · Reasoning 30 |
Benchmark results
One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | high | default | Source |
|---|---|---|---|
| GPQA Diamond | – | 37.7%#235 | Epoch AI Benchmarking Hub |
| SimpleBench | – | 10.7%#85 | SimpleBench |
| LMArena Hard Prompts | – | 1311#230 | LMArena |
| GPQA Diamond (AA)not in index | – | 42.6%#442 | Artificial Analysis |
| Humanity's Last Exam (AA)not in index | – | 4.2%#445 | Artificial Analysis |
| GPQA Diamond (Vals)not in index | 44.2%#122 | – | Vals AI |
| Kagi LLM Benchmark | – | 28.8%#124 | Kagi LLM Benchmark |
| ARC-AGI-2 | – | 0.0%#174 | ARC Prize |
Coding
| Benchmark | high | default | Source |
|---|---|---|---|
| WeirdML | – | 11.8%#142 | WeirdML |
| LMArena Coding | – | 1348#223 | LMArena |
| LiveCodeBench | 26.4%#132 | – | Vals AI |
| Aider Polyglot | – | 3.6%#45 | Aider polyglot leaderboard |
Maths
| Benchmark | high | default | Source |
|---|---|---|---|
| FrontierMath Tiers 1–3 | – | 0.7%#100 | Epoch AI Benchmarking Hub |
| OTIS Mock AIME | – | 6.9%#218 | Epoch AI Benchmarking Hub |
| MATH Level 5 | – | 52.6%#51 | Epoch AI Benchmarking Hub |
| AIME (Vals) | 11.5%#85 | – | Vals AI |
| MGSM | 86.2%#61 | – | Vals AI |
Knowledge
| Benchmark | high | default | Source |
|---|---|---|---|
| SimpleQA Verified | – | 8.3%#74 | Epoch AI Benchmarking Hub |
| MMLU-Pro | 62.7%#125 | – | Vals AI |
| CorpFin | 45.5%#110 | – | Vals AI |
| TaxEval | 60.5%#122 | – | Vals AI |
| MedQA | 72.4%#77 | – | Vals AI |
Instruction following
| Benchmark | high | default | Source |
|---|---|---|---|
| IFBench | – | 30.9%#341 | Artificial Analysis |
Human preference
| Benchmark | high | default | Source |
|---|---|---|---|
| LMArena Text | – | 1318#215 | LMArena |
Multimodal
| Benchmark | high | default | Source |
|---|---|---|---|
| LMArena Vision | – | 1066#113 | LMArena |
| MMMU-Pro | – | 41.5%#229 | Artificial Analysis |
| MMMU (validation) | – | 59.4%#33 | MMMU |
| MMMU-Pro (official)not in index | – | 37.6%#23 | MMMU |
Composite
| Benchmark | high | default | Source |
|---|---|---|---|
| Epoch Capabilities Indexnot in index | – | 126.6#147 | Epoch AI Benchmarking Hub |
| AA Intelligence Index | – | 6.7#434 | Artificial Analysis |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| OpenAI | 47 tok/s | 0.59 s | $0.150 | $0.600 | 128k | – |
| Azure | 21 tok/s | 1.75 s | $0.150 | $0.600 | 128k | – |
Price history
Listed price per 1M tokens over time, as recorded by OpenRouter for the provider with the longest history.
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.075 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0002 | $0.0002 | 2.9 s |
| Summarise a 30-page report | 12,000 / 600 | $0.0022 | $0.0015 | 5.0 s |
| Code edit | 6,000 / 1,500 | $0.0018 | $0.0015 | 11.1 s |
| Agentic coding session | 60,000 / 4,000 | $0.011 | $0.0080 | 28.1 s |
| Structured extraction | 2,000 / 200 | $0.0004 | $0.0003 | 2.2 s |
See also
Data as of 9 Sept 2026. Compare these configurations.