Model Comparison

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

Google

Gemma 3 4B

Google

Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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

Pixtral Large

Mistral AI

Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). The model shows particular specialization in general tasks with an average performance of 91.0%. It supports a 256K token context window for handling large documents. 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 Mistral AI's latest advancement in AI technology.

Mistral AI

Pixtral Large

Mistral AI

2024-11-18

Google

Gemma 3 4B

Google

2025-03-12

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3 4B

$7.94 cheaper
Input:$0.02
Output:$0.04
Mistral AI

Pixtral Large

Input:$2.00
Output:$6.00

Performance Metrics

Context window and performance specifications

Google

Gemma 3 4B

Larger context
Max Context:262.1K
Parameters:4.0B
Mistral AI

Pixtral Large

Max Context:256.0K
Parameters:124.0B

Average performance across 3 common benchmarks

Google

Gemma 3 4B

Average Score:73.1%
Mistral AI

Pixtral Large

+18.6%
Average Score:91.7%

Performance comparison across key benchmark categories

Google

Gemma 3 4B

general
40.7%
vision
59.0%
math
64.5%
Mistral AI

Pixtral Large

general
+50.3%
91.0%
vision
+20.4%
79.4%
math
+4.9%
69.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3 4B

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 4B

1 providers

DeepInfra

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

Pixtral Large

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

Gemma 3 4B

Avg Score:73.1%
Providers:1
Mistral AI

Pixtral Large

+18.6%
Avg Score:91.7%
Providers:1