OpenAI, released Dec 20, 2024
o3-miniprice, context, benchmarks and release details
- Input, per 1M tokens
- $1.10LiteLLMFirst-party API Standard token rate; MIT LiteLLM transcription. Provider documentation: https://developers.openai.com/api/docs/pricing. Exact endpoint only; cache/batch/long-context rates excluded
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Output, per 1M tokens
- $4.40LiteLLMFirst-party API Standard token rate; MIT LiteLLM transcription. Provider documentation: https://developers.openai.com/api/docs/pricing. Exact endpoint only; cache/batch/long-context rates excluded
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Context window
- 200Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Max output
- 100Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Released
- Dec 20, 2024models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗
How the score breaks down
Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 05:13 UTC.
Around it on the leaderboard
- 121 GPT-4o (2024-11-20) 42.2
- 122 Gemma 3 27B IT 42.0
- 123 o3-mini 41.6
- 124 GPT-4.1 41.5
- 125 Claude Haiku 3.5 40.8
Benchmark results
7 benchmarks, 15 resultsEach row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.
ARC-AGI-1 (public eval)reasoning 46.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
46.6 3 settings
- Setting 1 46.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 2 17.4%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 3 30.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
ARC-AGI-1 (semi-private)reasoning 34.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
34.5 3 settings
- Setting 1 34.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 2 14.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 3 22.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
ARC-AGI-2 (public eval)reasoning 0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
0.0 3 settings
- Setting 1 0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 2 0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 3 0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
ARC-AGI-2 (semi-private)reasoning 3.0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
3.0 3 settings
- Setting 1 3.0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 2 0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Setting 3 2.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o3-mini-2025-01-31-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation
Open source ↗
Open source ↗ 53.8
Open source ↗ 42.4
Open source ↗ 64.5
Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.
Details and sources
- Open weights
- Nomodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- textmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - First seen by SuperIndex
- Oct 8, 2026
- Coverage
- 77% of expected source weight
Reported (4)
- Aider polyglotOct 8, 2026
- ARC PrizeOct 8, 2026
- LMArena / ArenaOct 8, 2026
- SWE-bench VerifiedOct 8, 2026
Awaiting (2)
- Official model cards via models.dev6% of weight
- LiveBench17% of weight
Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.