Inference360
OpenAI

o4-mini (high)

o4-mini (high) is a reasoning model from OpenAI in the o4-mini family. 20 benchmarks count toward its score, in 6 categories.

availableShows if the model has enough results for an index.
IndexOverall score. 50 is the middle.47.4 ±4.6
CoverageShare of the index weight with results.90%
SpeedOutput tokens per second.109/s
Input / 1MUS dollars per 1M input tokens.$1.1
Output / 1MUS dollars per 1M output tokens.$4.4
ContextMaximum tokens in one request.200K
EloLMArena rating and rank.1353 (#190)

50 is the middle of the board. The range shows the doubt in the index.

44,639 votes. Elo shows what people prefer. It does not change the score.

CapabilitiesScore per category. 50 is the middle.

50 is the middle
AgenticMulti-step tasks with tools.
36.2
CodingCode writing and repair.
46.4
ReasoningLogic problems and puzzles.
48.5
MultimodalTasks with images and text.
57.0
KnowledgeFacts and expert knowledge.
45.3
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
51.2

Results

20 counted
BenchmarkThe test name.CategoryThe capability that the test measures.ResultThe score from the publisher.IndexThis result on the index scale.RunThe settings of the run.DateDate of the result.Published byThe source of the result.
MATH level 5Math97.8%46.8high effort—Epoch AI
MATH 500Math94.2%47.1—9 Jan 2026Vals AI
MGSMMultilingual93.4%——9 Jan 2026Vals AI
AIMEMath83.7%52.7—16 Apr 2026Vals AI
LiveCodeBenchCoding82.2%59.1—1 Sept 2026Vals AI
OTIS Mock AIME 2024-2025Math81.7%57.2high effort—Epoch AI
MMLU ProKnowledge80.6%47.4—1 Sept 2026Vals AI
MMMU ProMultimodal79.7%57.0—1 Sept 2026Vals AI
GPQA diamondKnowledge79.6%51.7high effort—Epoch AI
GPQA DiamondKnowledge74.5%47.0—1 Sept 2026Vals AI
τ²-bench RetailAgentic68.3%47.8Sierra30 Apr 2026Sierra Research
ARC-AGI-1 (semi-private)Reasoning58.7%54.9high effort—ARC Prize Foundation
SWE-bench VerifiedCoding54.8%41.5PatchPilot-v1.11 Sept 2026SWE-bench team
τ²-bench AirlineAgentic52.1%36.2Sierra2 Mar 2026Sierra Research
τ²-bench TelecomAgentic50.2%34.8Sierra2 Mar 2026Sierra Research
SWE-bench VerifiedCoding45.0%33.6mini-SWE-agent26 Feb 2026SWE-bench team
FrontierMath-Tiers-1-3-v2-PrivateMath36.1%51.8high effort—Epoch AI
SWE-bench MultimodalMultimodal33.9%—GUIRepair17 Nov 2025SWE-bench team
SWE-bench MultimodalMultimodal33.8%—GUIRepair17 Nov 2025SWE-bench team
Chess PuzzlesReasoning26.0%57.1high effort—Epoch AI
FrontierMath-2025-02-28-PrivateMath24.8%53.8high effort—Epoch AI
SimpleQA VerifiedKnowledge18.8%38.9high effort—Epoch AI
FrontierMath-Tier-4-2025-07-01-PrivateMath6.3%50.2high effort—Epoch AI
ARC-AGI-2 (semi-private)Reasoning6.1%42.8high effort—ARC Prize Foundation
Mystery Game PuzzlesReasoning5.0%39.2high effort—Epoch AI
FrontierMath-Tier-4-v2-PrivateMath4.9%50.3high effort—Epoch AI
IOI v1Coding4.8%42.7—9 Aug 2026Vals AI

20 benchmarks count, from 24 of 27 results. A grey row does not count. Too few models took that benchmark.

Sources

BenchLM benchmark aggregationUsed with attribution; per-benchmark results credited to their original authorsOpenRouter, collected directlyNo licence statedEpoch AI, collected directlyCC BY — free to use and redistribute with attributionVals AI, collected directlyNo licence stated. Read from the public leaderboard and credited to Vals AISierra Research, collected directlyMIT — results are in the licensed repositoryARC Prize Foundation, collected directlyNo licence stated. Their terms ask for written permission before commercial useSWE-bench team, collected directlyNo licence stated. The repository publishes submission records for reproducibility and transparency and asks that SWE-bench be cited

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