EBEasy BenchmarksLLM model index
Workspace
Overview
Benchmarks
Benchmarks list
Overall Index
Coding
Math
MMLU-Pro
Speed
Value
Models
All models
GPT-5.5 (xhigh)
GPT-5.5 (high)
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
Gemini 3.1 Pro Preview
GPT-5.4 (xhigh)
Artificial Analysis data
Back

Anthropic

Claude 3.7 Sonnet (Reasoning)

Claude 3.7 Sonnet (Reasoning) is an Anthropic Claude Sonnet model, a balanced Claude tier commonly aimed at strong coding, reasoning, and agent workflows with practical latency and cost. The local profile shows whether this specific reasoning mode is a better fit for quality, speed, or value-sensitive use cases.

Introducing Claude Sonnet

Operational Metrics

Output Speedn/a
First Tokenn/a
Blended Price$6.00/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseFeb 24, 2025
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: MMLU-Pro

Rank #46 across 345 models.

83.7%

Strength: SciCode

Rank #92 across 472 models.

40.3%

Strength: MATH-500

Rank #43 across 201 models.

94.7%

Watch Area: Blended $

Rank #290 across 325 models.

$6.00/M

Watch Area: Input $

Rank #290 across 325 models.

$3.00/M

Watch Area: Output $

Rank #288 across 325 models.

$15.00/M

Strength Profile

Percentile score by analysis domain.

* Cost is inverted: lower input, output, and blended prices rank higher.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall34.7#108
Artificial Analysis Coding Indexcoding27.6#128
Artificial Analysis Math Indexmath56.3#126
MMLU-Proreasoning83.7%#46
GPQA
reasoning
77.2%
#130
Humanity's Last Examreasoning10.3%#145
LiveCodeBenchcoding47.3%#156
SciCodecoding, reasoning40.3%#92
MATH-500math94.7%#43
AIMEmath48.7%#61
Blended Pricecost$6.00/M#290
Input Pricecost$3.00/M#290
Output Pricecost$15.00/M#288
Value Indexcost, overall5.8#279