OpenAI, released Dec 20, 2024

o3-miniprice, context, benchmarks and release details

Provisional: not enough results to rank yet 96% confidence 96 percent, High confidence, 4 of 6 expected sources in
41.6
SI Score
#123 of 142 ranked models
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
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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
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Context window
200Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
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Max output
100Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
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Released
Dec 20, 2024models.devPublished source fact Retrieved Oct 9, 2026 · MIT
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How the score breaks down

Coding (weight 40 percent) 48.1
Math (weight 15 percent) —
Preference (weight 15 percent) 64.5
Reasoning (weight 30 percent) 14.2

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

  1. 121 GPT-4o (2024-11-20) 42.2
  2. 122 Gemma 3 27B IT 42.0
  3. 123 o3-mini 41.6
  4. 124 GPT-4.1 41.5
  5. 125 Claude Haiku 3.5 40.8

Full leaderboard

Benchmark results

7 benchmarks, 15 results

Each 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
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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
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  • 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
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  • 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
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About ARC-AGI-1 (public eval)
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
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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
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  • 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
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  • 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
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About ARC-AGI-1 (semi-private)
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
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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
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  • 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
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  • 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
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About ARC-AGI-2 (public eval)
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
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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
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  • 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
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  • 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
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About ARC-AGI-2 (semi-private)
Aider Polyglotcoding 53.8%Aider polyglotPublished source fact [variant] Aider polyglot; 225 cases; 2 attemptsPublished Jan 31, 2025 Retrieved Oct 9, 2026 · Apache-2.0
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53.8
SWE-bench Verifiedcoding 42.4%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] Agentless LitePublished Feb 14, 2025 Retrieved Oct 9, 2026 · factual citation
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42.4
LMArena Textpreference 1319.4 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 8, 2026 Retrieved Oct 9, 2026 · CC-BY-4.0
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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
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License
not yet reported
Input modalities
textmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
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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.

What changed

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