Model Comparison

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

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.

GLM-4.5

Zhipu AI

GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.

Codestral-22B

Mistral AI

2024-05-29

GLM-4.5

Zhipu AI

2025-07-28

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Codestral-22B

$1.20 cheaper

Input:$0.20

Output:$0.60

GLM-4.5

Input:$0.40

Output:$1.60

Performance Metrics

Context window and performance specifications

Codestral-22B

Max Context:65.5K

Parameters:22.2B

GLM-4.5

Larger context

Max Context:262.1K

Parameters:355.0B

Performance comparison across key benchmark categories

Codestral-22B

general

34.0%

code

+20.5%

71.2%

GLM-4.5

general

+45.3%

79.3%

code

50.7%

Provider Availability & Performance

Available providers and their performance metrics

Codestral-22B

2 providers

Google

Throughput: 42 tok/s

Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

GLM-4.5

1 providers

DeepInfra

Codestral-22B

Avg Score:0.0%

Providers:2

GLM-4.5

Avg Score:0.0%

Providers:1