Model Comparison

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

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.

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.

Google

Gemini 2.5 Pro Preview 06-05

Google

2025-06-05

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Devstral Medium

$8.85 cheaper
Input:$0.40
Output:$2.00
Google

Gemini 2.5 Pro Preview 06-05

Input:$1.25
Output:$10.00

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Max Context:256.0K
Google

Gemini 2.5 Pro Preview 06-05

Larger context
Max Context:1.1M

Average performance across 1 common benchmarks

Mistral AI

Devstral Medium

Average Score:61.6%
Google

Gemini 2.5 Pro Preview 06-05

+5.6%
Average Score:67.2%

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
61.6%
Google

Gemini 2.5 Pro Preview 06-05

general
+8.2%
69.8%
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

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
Google

Gemini 2.5 Pro Preview 06-05

1 providers

Google

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

Devstral Medium

Avg Score:61.6%
Providers:1
Google

Gemini 2.5 Pro Preview 06-05

+5.6%
Avg Score:67.2%
Providers:1