Model Comparison

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

Mistral AI

Ministral 8B Instruct

Mistral AI

Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Mistral AI

Ministral 8B Instruct

Mistral AI

2024-10-16

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

9 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Ministral 8B Instruct

Larger context
Max Context:256.0K
Parameters:8.0B
Alibaba

Qwen3-235B-A22B-Instruct-2507

Max Context:-
Parameters:235.0B

Performance comparison across key benchmark categories

Mistral AI

Ministral 8B Instruct

roleplay
+7.6%
83.0%
general
64.7%
reasoning
+5.2%
73.6%
code
51.0%
math
+4.3%
54.5%
Alibaba

Qwen3-235B-A22B-Instruct-2507

roleplay
75.4%
general
+9.0%
73.7%
reasoning
68.4%
code
+19.2%
70.3%
math
50.2%

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Ministral 8B Instruct

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.18ms
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Mistral AI

Ministral 8B Instruct

Avg Score:0.0%
Providers:1
Alibaba

Qwen3-235B-A22B-Instruct-2507

Avg Score:0.0%
Providers:0