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

Devstral Medium

Mistral AI

Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

Anthropic

Claude Opus 4.1

Anthropic

2025-08-05

26 days newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude Opus 4.1

Max Context:-
Mistral AI

Devstral Medium

Larger context
Max Context:256.0K

Average performance across 1 common benchmarks

Anthropic

Claude Opus 4.1

Average Score:24.3%
Mistral AI

Devstral Medium

+37.3%
Average Score:61.6%

Performance comparison across key benchmark categories

Anthropic

Claude Opus 4.1

general
44.6%
Mistral AI

Devstral Medium

general
+17.0%
61.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude Opus 4.1

0 providers
Mistral AI

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
Anthropic

Claude Opus 4.1

Avg Score:24.3%
Providers:0
Mistral AI

Devstral Medium

+37.3%
Avg Score:61.6%
Providers:1