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

Pixtral Large

Mistral AI

Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). The model shows particular specialization in general tasks with an average performance of 91.0%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Pixtral Large

Mistral AI

2024-11-18

Anthropic

Claude Opus 4.1

Anthropic

2025-08-05

8 months newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude Opus 4.1

Max Context:-
Mistral AI

Pixtral Large

Larger context
Max Context:256.0K
Parameters:124.0B

Performance comparison across key benchmark categories

Anthropic

Claude Opus 4.1

general
44.6%
vision
64.8%
Mistral AI

Pixtral Large

general
+46.4%
91.0%
vision
+14.6%
79.4%

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude Opus 4.1

0 providers
Mistral AI

Pixtral Large

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Anthropic

Claude Opus 4.1

Avg Score:0.0%
Providers:0
Mistral AI

Pixtral Large

Avg Score:0.0%
Providers:1