Model Comparison

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

Anthropic

Claude Opus 4.1

Anthropic

Claude Opus 4.1 is a multimodal language model developed by Anthropic. The model shows competitive results across 8 benchmarks. It excels particularly in MMMLU (98.4%), AIME 2025 (80.2%), MMMU (validation) (64.8%). 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

Codestral-22B

Mistral AI

Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Codestral-22B

Mistral AI

2024-05-29

Anthropic

Claude Opus 4.1

Anthropic

2025-08-05

1 year newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude Opus 4.1

Max Context:-
Mistral AI

Codestral-22B

Larger context
Max Context:65.5K
Parameters:22.2B

Performance comparison across key benchmark categories

Anthropic

Claude Opus 4.1

general
+10.6%
44.6%
Mistral AI

Codestral-22B

general
34.0%

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude Opus 4.1

0 providers
Mistral AI

Codestral-22B

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Anthropic

Claude Opus 4.1

Avg Score:0.0%
Providers:0
Mistral AI

Codestral-22B

Avg Score:0.0%
Providers:2