Model Comparison

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

Devstral Medium

Mistral AI

Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, 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.

Devstral Medium

Mistral AI

2025-07-10

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

2025-09-10

2 months newer

Performance Metrics

Context window and performance specifications

Devstral Medium

Larger context

Max Context:256.0K

Qwen3-Next-80B-A3B-Base

Max Context:-

Parameters:80.0B

Average performance across 1 common benchmarks

Devstral Medium

+61.6%

Average Score:61.6%

Qwen3-Next-80B-A3B-Base

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s

Latency: 0.23ms

Qwen3-Next-80B-A3B-Base

0 providers

Devstral Medium

+61.6%

Avg Score:61.6%

Providers:1

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%

Providers:0