OpenAI model product
o3 mini is a smaller variant of O3 from OpenAI, expected to provide enhanced multimodal capabilities, improved reasoning, and more efficient resource utilization.
Updated Sep 8, 2026. Default version: o3-mini
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for o3-mini.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkLiveBench | Score84.60% | Rank01 | Participants38 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMATH | Score97.90% | Rank01 | Participants71 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMultilingual MMLU | Score80.70% | Rank01 | Participants5 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkCOLLIE | Score98.70% | Rank02 | Participants10 | Percentile88.89% | EvidenceC | Evaluated |
| BenchmarkMGSM | Score92.00% | Rank02 | Participants31 | Percentile96.67% | EvidenceC | Evaluated |
| BenchmarkAider-Polyglot Edit | Score60.40% | Rank03 | Participants10 | Percentile77.78% | EvidenceC | Evaluated |
| BenchmarkInternal API instruction following (hard) | Score50.00% | Rank03 | Participants7 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkMulti-IF | Score79.50% | Rank03 | Participants23 | Percentile90.91% | EvidenceC | Evaluated |
| BenchmarkSWE-Lancer | Score18.00% | Rank04 | Participants4 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score93.90% | Rank05 | Participants68 | Percentile94.03% | EvidenceC | Evaluated |
| BenchmarkComplexFuncBench | Score17.60% | Rank06 | Participants7 | Percentile16.67% | EvidenceC | Evaluated |
| BenchmarkSWE-Lancer (IC-Diamond subset) | Score7.40% | Rank06 | Participants6 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkGraphwalks parents <128k | Score58.30% | Rank07 | Participants11 | Percentile40.00% | EvidenceC | Evaluated |
| BenchmarkAider-Polyglot | Score66.70% | Rank09 | Participants22 | Percentile61.90% | EvidenceC | Evaluated |
| BenchmarkGraphwalks BFS <128k | Score51.00% | Rank09 | Participants11 | Percentile20.00% | EvidenceC | Evaluated |
| BenchmarkOpenAI-MRCR: 2 needle 128k | Score18.70% | Rank09 | Participants9 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkAIME 2024 | Score87.30% | Rank12 | Participants53 | Percentile78.85% | EvidenceC | Evaluated |
| BenchmarkFrontierMath | Score9.20% | Rank15 | Participants17 | Percentile12.50% | EvidenceC | Evaluated |
| BenchmarkTAU-bench Airline | Score32.40% | Rank21 | Participants23 | Percentile9.09% | EvidenceC | Evaluated |
| BenchmarkTAU-bench Retail | Score57.60% | Rank21 | Participants25 | Percentile16.67% | EvidenceC | Evaluated |
| BenchmarkMulti-Challenge | Score39.90% | Rank23 | Participants29 | Percentile21.43% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score86.90% | Rank27 | Participants101 | Percentile74.00% | EvidenceC | Evaluated |
| BenchmarkSimpleQA | Score15.00% | Rank38 | Participants47 | Percentile19.57% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score49.30% | Rank96 | Participants113 | Percentile15.18% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score77.20% | Rank107 | Participants247 | Percentile56.91% | EvidenceC | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,363.35 rating | Rank135 | Participants210 | Percentile35.89% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text | Score1,336.38 rating | Rank144 | Participants210 | Percentile31.58% | EvidenceA | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext style control | Categorymath | Rank103 | Rating / score1,405.18 | Votes1,909 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry mathematical | Rank107 | Rating / score1,411.68 | Votes1,711 | ObservationsN/A | Result date |
| Arenatext style control | Categorykorean | Rank107 | Rating / score1,331.26 | Votes241 | ObservationsN/A | Result date |
| Arenatext | Categorykorean | Rank109 | Rating / score1,313.46 | Votes241 | ObservationsN/A | Result date |
| Arenatext | Categorymath | Rank109 | Rating / score1,395.60 | Votes1,909 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry mathematical | Rank110 | Rating / score1,398.34 | Votes1,711 | ObservationsN/A | Result date |
| Arenatext style control | Categoryjapanese | Rank110 | Rating / score1,315.52 | Votes374 | ObservationsN/A | Result date |
| Arenatext | Categoryjapanese | Rank115 | Rating / score1,285.82 | Votes374 | ObservationsN/A | Result date |
| Arenatext style control | Categorychinese | Rank120 | Rating / score1,411.86 | Votes1,181 | ObservationsN/A | Result date |
| Arenatext style control | Categorycoding | Rank121 | Rating / score1,434.66 | Votes2,596 | ObservationsN/A | Result date |
| Arenatext style control | Categoryexpert | Rank123 | Rating / score1,398.08 | Votes847 | ObservationsN/A | Result date |
| Arenatext style control | Categoryhard prompts english | Rank124 | Rating / score1,413.36 | Votes2,944 | ObservationsN/A | Result date |
| Arenatext | Categoryexpert | Rank125 | Rating / score1,364.26 | Votes847 | ObservationsN/A | Result date |
| Arenatext style control | Categoryhard prompts | Rank126 | Rating / score1,401.18 | Votes4,386 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts | Rank127 | Rating / score1,365.36 | Votes4,386 | ObservationsN/A | Result date |
| Arenatext style control | Categoryinstruction following | Rank127 | Rating / score1,366.18 | Votes6,681 | ObservationsN/A | Result date |
| Arenatext style control | Categoryfrench | Rank129 | Rating / score1,371.24 | Votes203 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry software and it services | Rank129 | Rating / score1,410.62 | Votes4,338 | ObservationsN/A | Result date |
| Arenatext | Categorychinese | Rank130 | Rating / score1,378.50 | Votes1,181 | ObservationsN/A | Result date |
| Arenatext | Categorycoding | Rank130 | Rating / score1,378.48 | Votes2,596 | ObservationsN/A | Result date |
| Arenatext | Categoryhard prompts english | Rank131 | Rating / score1,375.53 | Votes2,944 | ObservationsN/A | Result date |
| Arenatext style control | Categorylonger query | Rank131 | Rating / score1,372.70 | Votes2,160 | ObservationsN/A | Result date |
| Arenatext style control | Categorypolish | Rank131 | Rating / score1,327.02 | Votes2,635 | ObservationsN/A | Result date |
| Arenatext | Categoryinstruction following | Rank132 | Rating / score1,337.48 | Votes6,681 | ObservationsN/A | Result date |
| Arenatext | Categorypolish | Rank132 | Rating / score1,293.79 | Votes2,635 | ObservationsN/A | Result date |
| Arenatext | Categorygerman | Rank133 | Rating / score1,302.79 | Votes377 | ObservationsN/A | Result date |
| Arenatext style control | Categorygerman | Rank133 | Rating / score1,325.13 | Votes377 | ObservationsN/A | Result date |
| Arenatext | Categoryfrench | Rank134 | Rating / score1,333.80 | Votes203 | ObservationsN/A | Result date |
| Arenatext | Categoryspanish | Rank134 | Rating / score1,320.45 | Votes126 | ObservationsN/A | Result date |
| Arenatext style control | Categoryexclude ties | Rank134 | Rating / score1,329.31 | Votes12,679 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderPoe | Provider model IDopenai/o3-mini | Regionglobal | Input / 1M$0.99 | Output / 1M$4 | Context200K | Updated |
| ProviderNanoGPT | Provider model IDopenai/o3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderImpossibl | Provider model IDopenai/o3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderJiekou.AI | Provider model IDo3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context131.1K | Updated |
| ProviderOpenRouter | Provider model IDopenai/o3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderOpenAI | Provider model IDo3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderLLM Gateway | Provider model IDopenai/o3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderNEAR AI Cloud | Provider model IDopenai/o3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderMerge Gateway | Provider model IDopenai/o3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderCloudflare AI Gateway | Provider model IDopenai/o3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderHelicone | Provider model IDo3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderAzure Cognitive Services | Provider model IDo3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderAzure | Provider model IDo3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderVercel AI Gateway | Provider model IDopenai/o3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderEden AI | Provider model IDopenai/o3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderDevPass (LLM Gateway) | Provider model IDo3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderKilo Gateway | Provider model IDopenai/o3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
| ProviderAbacus | Provider model IDo3-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context200K | Updated |
Provider-specific output speed and catalog latency for o3-mini. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderAzure | Output Speed115.00 tok/s | Catalog Latency5.20 s | Max Input200K | Max Output100K | Updated |
| ProviderOpenAI | Output Speed115.00 tok/s | Catalog Latency5.20 s | Max Input200K | Max Output100K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| Versiono3-mini | Released | LLMBoard35.06 | ParametersN/A | Context200K | Max output100K | Open weightsNo | LicenseProprietary |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about o3 mini and its available data.
o3 mini is a large language model from OpenAI and a smaller variant of O3. It is expected to improve multimodal capabilities, reasoning, and resource efficiency while maintaining performance on core tasks.
Data as of 2026-09-08.
Common questions about o3 mini.
o3 mini's default version was released on Jan 30, 2025.
o3 mini's official API price is $1.1 per million input tokens and $4.4 per million output tokens via OpenAI. The lowest tracked third-party offer starts at $0.99 input and $4 output via Poe.
o3 mini was created by OpenAI.
The default version has a 200K token context window.
No. The default version is not marked as having publicly available weights.
19 provider offerings are linked to the default version.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.