o1-preview

o1-preview is a reasoning model from OpenAI in the o1 family. 7 benchmarks count toward its score, in 3 categories.

partialShows if the model has enough results for an index.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.45%
SpeedOutput tokens per second.
Input / 1MUS dollars per 1M input tokens.$15
Output / 1MUS dollars per 1M output tokens.$60
ContextMaximum tokens in one request.200K
EloLMArena rating and rank.1353 (#191)

The index is a score out of 100. The ± range shows how much it can change.

31,122 votes. Elo shows what people prefer. It does not change the score.

CapabilitiesScore per category, out of 100.

Out of 100
AgenticMulti-step tasks with tools.
N/A
CodingCode writing and repair.
46.2
ReasoningLogic problems and puzzles.
N/A
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
36.1
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
33.9

Results

7 counted
BenchmarkThe test name.CategoryThe capability that the test measures.ResultThe score from the publisher.IndexThis result as a score out of 100.RunThe settings of the run.DateDate of the result.Published byThe source of the result.
MATH level 5Math81.6%38.8Epoch AI
Artificial Analysis GPQA DiamondKnowledge76.5%47.0Artificial Analysis
SWE-bench VerifiedCoding64.6%49.3W&B Programmer O1 crosscheck51 Sept 2026SWE-bench team
GPQA diamondKnowledge50.3%24.7Epoch AI
Artificial Analysis Coding IndexCoding34.0%43.0Artificial Analysis
OTIS Mock AIME 2024-2025Math31.1%29.0Epoch AI
Artificial Analysis Intelligence IndexKnowledge11.4%36.6Artificial Analysis

7 benchmarks count, from 7 of 7 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 authorsEpoch AI, collected directlyCC BY — free to use and redistribute with attributionSWE-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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