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 2.0 Flash Thinking

Google

Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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 2.0 Flash Thinking

Google

2025-01-21

7 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Codestral-22B

Larger context
Max Context:65.5K
Parameters:22.2B
Google

Gemini 2.0 Flash Thinking

Max Context:-

Performance comparison across key benchmark categories

Mistral AI

Codestral-22B

general
34.0%
Google

Gemini 2.0 Flash Thinking

general
+39.8%
73.8%
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash Thinking

2024-08-01

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 2.0 Flash Thinking

0 providers
Mistral AI

Codestral-22B

Avg Score:0.0%
Providers:2
Google

Gemini 2.0 Flash Thinking

Avg Score:0.0%
Providers:0