o4-mini: Price, Context, Benchmarks, and Release Details
51.2
SI Score (method si-v3-retained-evidence-2)
#102 of 140 ranked
87% confidence 87 percent, High confidence — 5 of 9 expected sources in
Coverage 70% of expected source weight · 100% confidence at 80% coverage
Pillar breakdown
Coding (weight 40 percent) 63.4
Math (weight 15 percent) 47.2
Preference (weight 15 percent) 68.3
Reasoning (weight 30 percent) 29.9
Pillar weights: reasoning 30% · math 15% · coding 40% · preference 15%. Benchmark results use fixed 0–100 scales before averaging; incomplete evidence is shrunk toward 50.
Facts
- Input price / 1M
- $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 price / 1M
- $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
- Apr 16, 2025models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Open weights
- Nomodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- text, imagemodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗
Benchmark results
27 results| Benchmark | Raw result | Normalized (0–100) | Pillar |
|---|---|---|---|
| aider polyglot | 72%Aider polyglotPublished source fact [variant] Aider polyglot; 225 cases; 2 attemptsPublished Apr 16, 2025
Retrieved Oct 9, 2026 · Apache-2.0 Open source ↗ | 72.0 | coding |
| arc agi v1 public eval | 68.0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 68.0 | reasoning |
| arc agi v1 public eval | 27.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 27.6 | reasoning |
| arc agi v1 public eval | 50.2%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 50.2 | reasoning |
| arc agi v1 semi private | 58.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 58.7 | reasoning |
| arc agi v1 semi private | 21.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 21.3 | reasoning |
| arc agi v1 semi private | 41.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 41.8 | reasoning |
| arc agi v2 public eval | 7.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 7.5 | reasoning |
| arc agi v2 public eval | 0.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 0.3 | reasoning |
| arc agi v2 public eval | 2.2%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 2.2 | reasoning |
| arc agi v2 semi private | 6.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-highPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 6.1 | reasoning |
| arc agi v2 semi private | 1.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-lowPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 1.7 | reasoning |
| arc agi v2 semi private | 2.4%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] o4-mini-2025-04-16-mediumPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 2.4 | reasoning |
| frontiermath tier 4 v2 | 4.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Jun 11, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 4.9 | math |
| frontiermath tiers 1 3 v2 | 36.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Jun 11, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 36.1 | math |
| frontiermath tiers 1 3 v2 | 16.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] lowPublished Aug 27, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 16.1 | math |
| frontiermath tiers 1 3 v2 | 28.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] mediumPublished Aug 27, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 28.8 | math |
| gpqa diamond | 79.6%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Apr 16, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 79.6 | reasoning |
| gpqa diamond | 75.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] lowPublished Jul 11, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 75.3 | reasoning |
| gpqa diamond | 77.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] mediumPublished Aug 7, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 77.8 | reasoning |
| lmarena text | 1353.2 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026
Retrieved Oct 9, 2026 · CC-BY-4.0 Open source ↗ | 68.3 | preference |
| math level 5 | 97.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Apr 16, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 97.8 | math |
| otis mock aime 2024 2025 | 81.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Apr 16, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 81.7 | math |
| otis mock aime 2024 2025 | 57.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] lowPublished Jul 13, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 57.8 | math |
| otis mock aime 2024 2025 | 73.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] mediumPublished Aug 7, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 73.3 | math |
| swe bench verified | 45%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] mini-SWE-agent; 1.0.0Published Jul 26, 2025
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 45.0 | coding |
| swe bench verified | 64.6%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] PatchPilot-v1.1Published May 3, 2025
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 64.6 | coding |
Normalization uses fixed absolute 0–100 scales for each unit, independently of other models that have a result on each benchmark. Coverage and evidence breadth still affect the composite; compare the evaluation conditions before reading a small score gap as decisive. “lab-reported” marks the provider's own published figure.
Sources: in and pending
in Reported (5)
- Aider polyglot · arrived Oct 8, 2026
- ARC Prize · arrived Oct 8, 2026
- Epoch AI Benchmarking · arrived Oct 8, 2026
- LMArena / Arena · arrived Oct 8, 2026
- SWE-bench Verified · arrived Oct 8, 2026
pending Awaiting (4)
- Humanity’s Last Exam · carries 11% of expected weight
- Official model cards via models.dev · carries 4% of expected weight
- LiveBench · carries 11% of expected weight
- Terminal-Bench · carries 5% of expected weight
The confidence % rises as pending sources publish. Some sources never cover some models — that is why 100% confidence arrives at 80% of expected weight, not at full coverage.