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 1.5 Pro

Google

Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.

Google

Gemini 1.5 Pro

Google

2024-05-01

Mistral AI

Codestral-22B

Mistral AI

2024-05-29

28 days newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Codestral-22B

$11.70 cheaper
Input:$0.20
Output:$0.60
Google

Gemini 1.5 Pro

Input:$2.50
Output:$10.00

Performance Metrics

Context window and performance specifications

Mistral AI

Codestral-22B

Max Context:65.5K
Parameters:22.2B
Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M

Average performance across 1 common benchmarks

Mistral AI

Codestral-22B

Average Score:81.1%
Google

Gemini 1.5 Pro

+3.0%
Average Score:84.1%

Performance comparison across key benchmark categories

Mistral AI

Codestral-22B

code
71.2%
general
34.0%
Google

Gemini 1.5 Pro

code
+3.3%
74.5%
general
+34.9%
68.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Pro

2023-11-01

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 1.5 Pro

1 providers

Google

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

Codestral-22B

Avg Score:81.1%
Providers:2
Google

Gemini 1.5 Pro

+3.0%
Avg Score:84.1%
Providers:1