Model Comparison

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

Google

Gemma 3n E4B Instructed

Google

Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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 Large 2

Mistral AI

Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral Large 2

Mistral AI

2024-07-24

Google

Gemma 3n E4B Instructed

Google

2025-06-26

11 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3n E4B Instructed

Input:$20.00
Output:$40.00
Mistral AI

Mistral Large 2

$52.00 cheaper
Input:$2.00
Output:$6.00

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B
Mistral AI

Mistral Large 2

Larger context
Max Context:256.0K
Parameters:123.0B

Average performance across 2 common benchmarks

Google

Gemma 3n E4B Instructed

Average Score:70.0%
Mistral AI

Mistral Large 2

+18.0%
Average Score:88.0%

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

math
52.4%
code
38.9%
general
41.6%
Mistral AI

Mistral Large 2

math
+40.6%
93.0%
code
+53.1%
92.0%
general
+41.8%
83.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B Instructed

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E4B Instructed

1 providers

Together

Throughput: 42.09 tok/s
Latency: 0.43ms
Mistral AI

Mistral Large 2

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

Gemma 3n E4B Instructed

Avg Score:70.0%
Providers:1
Mistral AI

Mistral Large 2

+18.0%
Avg Score:88.0%
Providers:2