Model Comparison

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

Google

Gemma 3 27B

Google

Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). The model shows particular specialization in math tasks with an average performance of 78.2%. It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 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

Gemma 3 27B

Google

2025-03-12

Mistral AI

Mistral Small 3.2 24B Instruct

Mistral AI

2025-06-20

3 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3 27B

Larger context
Max Context:262.1K
Parameters:27.0B
Mistral AI

Mistral Small 3.2 24B Instruct

Max Context:-
Parameters:23.6B

Average performance across 7 common benchmarks

Google

Gemma 3 27B

Average Score:65.4%
Mistral AI

Mistral Small 3.2 24B Instruct

+2.0%
Average Score:67.4%

Performance comparison across key benchmark categories

Google

Gemma 3 27B

code
73.4%
vision
71.6%
math
+9.9%
78.2%
general
53.5%
Mistral AI

Mistral Small 3.2 24B Instruct

code
+12.3%
85.6%
vision
+7.0%
78.7%
math
68.3%
general
+11.1%
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

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 27B

2 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms

Novita

Throughput: 33 tok/s
Latency: 0.2ms
Mistral AI

Mistral Small 3.2 24B Instruct

0 providers
Google

Gemma 3 27B

Avg Score:65.4%
Providers:2
Mistral AI

Mistral Small 3.2 24B Instruct

+2.0%
Avg Score:67.4%
Providers:0