Model Comparison

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

Mistral AI

Codestral-22B

Mistral AI

Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

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

Codestral-22B

Mistral AI

2024-05-29

Google

Gemini 2.5 Pro

Google

2025-05-20

11 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Codestral-22B

$10.45 cheaper
Input:$0.20
Output:$0.60
Google

Gemini 2.5 Pro

Input:$1.25
Output:$10.00

Performance Metrics

Context window and performance specifications

Mistral AI

Codestral-22B

Max Context:65.5K
Parameters:22.2B
Google

Gemini 2.5 Pro

Larger context
Max Context:1.1M

Performance comparison across key benchmark categories

Mistral AI

Codestral-22B

code
+0.6%
71.2%
general
34.0%
Google

Gemini 2.5 Pro

code
70.6%
general
+35.4%
69.4%
Knowledge Cutoff
Training data recency comparison

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

Mistral AI

Codestral-22B

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Google

Gemini 2.5 Pro

1 providers

Google

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

Codestral-22B

Avg Score:0.0%
Providers:2
Google

Gemini 2.5 Pro

Avg Score:0.0%
Providers:1