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Model Comparison

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

GLM-4.5-Air

Zhipu AI

GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). 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.

Mistral AI

Mistral NeMo Instruct

Mistral AI

Mistral NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral NeMo Instruct

Mistral AI

2024-07-18

GLM-4.5-Air

Zhipu AI

2025-07-28

1 year newer

Performance Metrics

Context window and performance specifications

GLM-4.5-Air

Max Context:-
Parameters:106.0B
Mistral AI

Mistral NeMo Instruct

Larger context
Max Context:256.0K
Parameters:12.0B

Performance comparison across key benchmark categories

GLM-4.5-Air

reasoning
37.7%
general
+15.2%
76.0%
Mistral AI

Mistral NeMo Instruct

reasoning
+42.5%
80.2%
general
60.8%

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5-Air

0 providers
Mistral AI

Mistral NeMo Instruct

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms

GLM-4.5-Air

Avg Score:0.0%
Providers:0
Mistral AI

Mistral NeMo Instruct

Avg Score:0.0%
Providers:2