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 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Google

Gemini 1.0 Pro

Google

2024-02-15

Mistral AI

Codestral-22B

Mistral AI

2024-05-29

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Codestral-22B

$1.20 cheaper
Input:$0.20
Output:$0.60
Google

Gemini 1.0 Pro

Input:$0.50
Output:$1.50

Performance Metrics

Context window and performance specifications

Mistral AI

Codestral-22B

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

Gemini 1.0 Pro

Max Context:41.0K

Performance comparison across key benchmark categories

Mistral AI

Codestral-22B

general
34.0%
Google

Gemini 1.0 Pro

general
+17.4%
51.4%
Knowledge Cutoff
Training data recency comparison

Gemini 1.0 Pro

2024-02-01

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 1.0 Pro

1 providers

Google

Throughput: 120 tok/s
Latency: 0.4ms
Mistral AI

Codestral-22B

Avg Score:0.0%
Providers:2
Google

Gemini 1.0 Pro

Avg Score:0.0%
Providers:1