Model Comparison

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

Google

Gemini 2.5 Pro

Google

Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 67.1% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). The model shows particular specialization in vision tasks with an average performance of 82.2%. 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 Instruct

Mistral AI

Mistral Small 3 24B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 71.7% across 8 benchmarks. It excels particularly in Arena Hard (87.6%), HumanEval (84.8%), MT-Bench (83.5%). The model shows particular specialization in code tasks with an average performance of 83.9%. The model is available through 2 API providers. 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 Instruct

Mistral AI

2025-01-30

Google

Gemini 2.5 Pro

Google

2025-05-20

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Pro

Input:$1.25
Output:$10.00
Mistral AI

Mistral Small 3 24B Instruct

$11.04 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro

Larger context
Max Context:1.1M
Mistral AI

Mistral Small 3 24B Instruct

Max Context:64.0K
Parameters:24.0B

Average performance across 1 common benchmarks

Google

Gemini 2.5 Pro

+37.7%
Average Score:83.0%
Mistral AI

Mistral Small 3 24B Instruct

Average Score:45.3%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro

code
70.6%
general
+6.6%
69.4%
Mistral AI

Mistral Small 3 24B Instruct

code
+13.3%
83.9%
general
62.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Mistral Small 3 24B Instruct

2023-10-01

Gemini 2.5 Pro

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

1 providers

Google

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

Mistral Small 3 24B Instruct

2 providers

DeepInfra

Throughput: 49 tok/s
Latency: 0.2ms

Mistral AI

Throughput: 134 tok/s
Latency: 0.2ms
Google

Gemini 2.5 Pro

+37.7%
Avg Score:83.0%
Providers:1
Mistral AI

Mistral Small 3 24B Instruct

Avg Score:45.3%
Providers:2