Model Comparison

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

Google

Gemini 2.5 Flash

Google

Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 3.2 24B Instruct

Mistral AI

Mistral Small 3.2 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 69.8% across 15 benchmarks. It excels particularly in DocVQA (94.9%), AI2D (92.9%), HumanEval Plus (92.9%). The model shows particular specialization in code tasks with an average performance of 85.6%. 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 Flash

Google

2025-05-20

Mistral AI

Mistral Small 3.2 24B Instruct

Mistral AI

2025-06-20

1 month newer

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Flash

Larger context
Max Context:1.1M
Mistral AI

Mistral Small 3.2 24B Instruct

Max Context:-
Parameters:23.6B

Average performance across 3 common benchmarks

Google

Gemini 2.5 Flash

+22.9%
Average Score:63.1%
Mistral AI

Mistral Small 3.2 24B Instruct

Average Score:40.2%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Flash

code
64.7%
vision
+1.0%
79.7%
general
58.0%
Mistral AI

Mistral Small 3.2 24B Instruct

code
+21.0%
85.6%
vision
78.7%
general
+6.6%
64.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Mistral Small 3.2 24B Instruct

2023-10-01

Gemini 2.5 Flash

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 Flash

2 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms

ZeroEval

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

Mistral Small 3.2 24B Instruct

0 providers
Google

Gemini 2.5 Flash

+22.9%
Avg Score:63.1%
Providers:2
Mistral AI

Mistral Small 3.2 24B Instruct

Avg Score:40.2%
Providers:0