Claude 3.5 Haiku

Claude 3.5 Haiku is a model from Anthropic. 8 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.N/A
Output / 1MUS dollars per 1M output tokens.N/A
ContextMaximum tokens in one request.N/A
EloLMArena rating and rank.1255 (#279)

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

68,964 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.
22.5
ReasoningLogic problems and puzzles.
N/A
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
17.4
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
19.1

Results

8 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.
MGSMMultilingual84.6%9 Jan 2026Vals AI
MATH 500Math64.2%13.69 Jan 2026Vals AI
MMLU ProKnowledge64.1%21.51 Sept 2026Vals AI
MATH level 5Math46.4%21.4Epoch AI
LiveCodeBenchCoding41.9%22.51 Sept 2026Vals AI
GPQA diamondKnowledge38.1%13.4Epoch AI
GPQA DiamondKnowledge37.9%13.21 Sept 2026Vals AI
OTIS Mock AIME 2024-2025Math4.3%14.1Epoch AI
AIMEMath3.3%15.316 Apr 2026Vals AI
FrontierMath-2025-02-28-PrivateMath0.3%31.0Epoch AI

8 benchmarks count, from 9 of 10 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 authorsVals AI, collected directlyNo licence stated. Read from the public leaderboard and credited to Vals AIEpoch AI, collected directlyCC BY — free to use and redistribute with attribution

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