Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Anthropic

Claude Sonnet 4

Anthropic

Claude Sonnet 4 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 69.4% across 8 benchmarks. It excels particularly in MMMLU (86.5%), TAU-bench Retail (80.5%), GPQA (75.4%). It supports a 328K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic's latest advancement in AI technology.

Mistral AI

Mistral Small 3.2 24B Instruct

Mistral AI

Mistral Small 3.2 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 69.8% across 15 benchmarks. It excels particularly in DocVQA (94.9%), AI2D (92.9%), HumanEval Plus (92.9%). The model shows particular specialization in code tasks with an average performance of 85.6%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Anthropic

Claude Sonnet 4

Anthropic

2025-05-22

Mistral AI

Mistral Small 3.2 24B Instruct

Mistral AI

2025-06-20

29 days newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude Sonnet 4

Larger context
Max Context:328.0K
Mistral AI

Mistral Small 3.2 24B Instruct

Max Context:-
Parameters:23.6B

Average performance across 2 common benchmarks

Anthropic

Claude Sonnet 4

+20.6%
Average Score:74.9%
Mistral AI

Mistral Small 3.2 24B Instruct

Average Score:54.3%

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4

vision
74.4%
general
+3.5%
68.1%
Mistral AI

Mistral Small 3.2 24B Instruct

vision
+4.3%
78.7%
general
64.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Mistral Small 3.2 24B Instruct

2023-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude Sonnet 4

3 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 101 tok/s
Latency: 0.5ms

Anthropic

Throughput: 42 tok/s
Latency: 0.4ms
Mistral AI

Mistral Small 3.2 24B Instruct

0 providers
Anthropic

Claude Sonnet 4

+20.6%
Avg Score:74.9%
Providers:3
Mistral AI

Mistral Small 3.2 24B Instruct

Avg Score:54.3%
Providers:0