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%). It supports a 512K token context window for handling large documents. The model is available through 3 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base is a language model developed by Alibaba Cloud / Qwen Team. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Codestral-22B

Mistral AI

2024-05-29

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

2025-09-10

1 year newer

Performance Metrics

Context window and performance specifications

Codestral-22B

Larger context

Max Context:512.0K

Parameters:22.2B

Qwen3-Next-80B-A3B-Base

Max Context:-

Parameters:80.0B

Average performance across 7 common benchmarks

Codestral-22B

+65.9%

Average Score:65.9%

Qwen3-Next-80B-A3B-Base

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

Codestral-22B

3 providers

Google

Throughput: 42 tok/s

Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

ZeroEval

Throughput: 114 tok/s

Latency: 0.114ms

Qwen3-Next-80B-A3B-Base

0 providers

Codestral-22B

+65.9%

Avg Score:65.9%

Providers:3

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%

Providers:0