Model Comparison

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

Google

Gemini 2.5 Pro Preview 06-05

Google

Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents Google's latest advancement in AI technology.

Mistral AI

Magistral Medium

Mistral AI

Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). 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.

Google

Gemini 2.5 Pro Preview 06-05

Google

2025-06-05

Mistral AI

Magistral Medium

Mistral AI

2025-06-10

5 days newer

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro Preview 06-05

Larger context
Max Context:1.1M
Mistral AI

Magistral Medium

Max Context:-
Parameters:24.0B

Average performance across 5 common benchmarks

Google

Gemini 2.5 Pro Preview 06-05

+21.0%
Average Score:69.4%
Mistral AI

Magistral Medium

Average Score:48.4%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro Preview 06-05

general
+16.7%
69.8%
code
+17.8%
68.1%
Mistral AI

Magistral Medium

general
53.1%
code
50.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Pro Preview 06-05

2025-01-31

Magistral Medium

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.5 Pro Preview 06-05

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Mistral AI

Magistral Medium

0 providers
Google

Gemini 2.5 Pro Preview 06-05

+21.0%
Avg Score:69.4%
Providers:1
Mistral AI

Magistral Medium

Avg Score:48.4%
Providers:0