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

Mistral Small 3 24B Base

Mistral AI

Mistral Small 3 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 67.0% across 9 benchmarks. It excels particularly in ARC-C (91.3%), GSM8k (80.7%), MMLU (80.7%). 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.

Mistral AI

Mistral Small 3 24B Base

Mistral AI

2025-01-30

Google

Gemini 2.5 Pro Preview 06-05

Google

2025-06-05

4 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro Preview 06-05

Larger context
Max Context:1.1M
Mistral AI

Mistral Small 3 24B Base

Max Context:-
Parameters:23.6B

Average performance across 1 common benchmarks

Google

Gemini 2.5 Pro Preview 06-05

+52.0%
Average Score:86.4%
Mistral AI

Mistral Small 3 24B Base

Average Score:34.4%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro Preview 06-05

general
+7.4%
69.8%
code
+0.4%
68.1%
Mistral AI

Mistral Small 3 24B Base

general
62.4%
code
67.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Mistral Small 3 24B Base

2023-10-01

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

Google

Gemini 2.5 Pro Preview 06-05

1 providers

Google

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

Mistral Small 3 24B Base

0 providers
Google

Gemini 2.5 Pro Preview 06-05

+52.0%
Avg Score:86.4%
Providers:1
Mistral AI

Mistral Small 3 24B Base

Avg Score:34.4%
Providers:0