Model Comparison

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

Google

Gemini 1.5 Pro

Google

Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.

Mistral AI

Mistral Small 3.1 24B Instruct

Mistral AI

Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). The model shows particular specialization in code tasks with an average performance of 81.6%. 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 1.5 Pro

Google

2024-05-01

Mistral AI

Mistral Small 3.1 24B Instruct

Mistral AI

2025-03-17

10 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M
Mistral AI

Mistral Small 3.1 24B Instruct

Max Context:-
Parameters:24.0B

Average performance across 6 common benchmarks

Google

Gemini 1.5 Pro

+7.8%
Average Score:76.2%
Mistral AI

Mistral Small 3.1 24B Instruct

Average Score:68.4%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Pro

code
74.5%
math
+5.6%
74.9%
vision
+13.0%
72.3%
general
+12.1%
68.9%
Mistral AI

Mistral Small 3.1 24B Instruct

code
+7.1%
81.6%
math
69.3%
vision
59.3%
general
56.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Pro

2023-11-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Pro

1 providers

Google

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

Mistral Small 3.1 24B Instruct

0 providers
Google

Gemini 1.5 Pro

+7.8%
Avg Score:76.2%
Providers:1
Mistral AI

Mistral Small 3.1 24B Instruct

Avg Score:68.4%
Providers:0