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Devstral Medium vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Devstral Medium was created as a development-focused model, designed to assist with software engineering workflows and developer-centric tasks. Built to provide balanced capability for coding, debugging, and technical documentation, it serves as a versatile tool for professional development environments.
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Alibaba Cloud / Qwen Team
Qwen3-Next 80B Base was introduced as an experimental base model with 80 billion total parameters and 3 billion active parameters. Built to explore advanced mixture-of-experts architectures, it provides a foundation for fine-tuning and research into efficient large-scale model design.
2 months newer
Devstral Medium
Mistral AI
2025-07-10
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
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Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Devstral Medium
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Qwen3-Next-80B-A3B-Base
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Devstral Medium
Avg Score:0.0%
Providers:1
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Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0