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Claude Sonnet 4.5

AnthropicEstablishedReleased September 2025
Overall Score
Est. 68Prov. #34 of 110
Arena Elo
1346
Categories Ranked
8of 8
Price (1M tokens)
$3 in / $15 out
Speed
N/A
Context
200K
ProprietaryNon-Reasoning
Confidence
base

According to BenchLM.ai, Claude Sonnet 4.5 ranks #34 out of 110 models on the provisional leaderboard with an overall score of 68/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

Claude Sonnet 4.5 is a proprietary model with a 200K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

This profile currently has 7 of 152 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Multimodal & Grounded (#8), while its weakest is Agentic (#39). This performance profile makes it particularly strong for screenshots, documents, charts, and grounded multimodal workflows.

Ranking Distribution

Category rank across 8 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

#39
58.9/ 100
Weight: 22%3 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

#18
79.5/ 100
Weight: 20%1 benchmark
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

#32
62.9/ 100
Weight: 17%1 benchmark
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#27
75.4/ 100
Weight: 12%1 benchmark
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

#16
87.7/ 100
Weight: 5%1 benchmark
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

#11
87.5/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#8
94.2/ 100
Weight: 12%0 benchmarks
MMMU-ProOfficeQA Pro

Inst. Following

#19
85.2/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1346

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

Frequently Asked Questions

How does Claude Sonnet 4.5 perform overall in AI benchmarks?

Claude Sonnet 4.5 currently ranks #34 out of 110 models on BenchLM's provisional leaderboard with an overall score of 68 (estimated). It is created by Anthropic and features a 200K context window.

Is Claude Sonnet 4.5 good for knowledge and understanding?

Claude Sonnet 4.5 ranks #27 out of 110 models in knowledge and understanding benchmarks with an average score of 75.4. There are stronger options in this category.

Is Claude Sonnet 4.5 good for coding and programming?

Claude Sonnet 4.5 ranks #18 out of 110 models in coding and programming benchmarks with an average score of 79.5. There are stronger options in this category.

Is Claude Sonnet 4.5 good for mathematics?

Claude Sonnet 4.5 ranks #16 out of 110 models in mathematics benchmarks with an average score of 87.7. There are stronger options in this category.

Is Claude Sonnet 4.5 good for reasoning and logic?

Claude Sonnet 4.5 ranks #32 out of 110 models in reasoning and logic benchmarks with an average score of 62.9. There are stronger options in this category.

Is Claude Sonnet 4.5 good for agentic tool use and computer tasks?

Claude Sonnet 4.5 ranks #39 out of 110 models in agentic tool use and computer tasks benchmarks with an average score of 58.9. There are stronger options in this category.

Does Claude Sonnet 4.5 have full benchmark coverage on BenchLM?

Not yet. Claude Sonnet 4.5 currently has 7 published benchmark scores out of the 152 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Claude Sonnet 4.5?

Claude Sonnet 4.5 has a context window of 200K, which determines how much text it can process in a single interaction.

Last updated: April 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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