What are the key differences between Codestral Mamba and Qwen3-Coder?

Compare Codestral Mamba and Qwen3-Coder side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are Codestral Mamba and Qwen3-Coder scored?

Codestral Mamba has an AI score of 7.3/10 and Qwen3-Coder has an AI score of 9.2/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

Codestral Mamba vs Qwen3-Coder 2026 - Compared

Codestral Mamba

Qwen3-Coder

WINNER Qwen3-Coder

Qwen3-Coder edges ahead with a score of 9.2/10 compared to 7.3/10 for Codestral Mamba. While both are highly rated in th...

Codestral Mamba

7.28 Good

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emoji_events WINNER

Qwen3-Coder

9.24 Excellent

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psychology AI Verdict

Qwen3-Coder edges ahead with a score of 9.2/10 compared to 7.3/10 for Codestral Mamba. While both are highly rated in their respective fields, Qwen3-Coder demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: Qwen3-Coder

verified Confidence: Low

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description Overview

Codestral Mamba

Codestral Mamba is an open-weight code generation model released by Mistral AI in 2024. It uses the Mamba architecture, a state space model approach that differs from standard transformer designs. The model is designed for code completion and generation tasks across multiple programming languages. It can be integrated with development environments through the Continue extension.

Qwen3-Coder

Qwen3-Coder is an open-weights large language model created by Alibaba Group. It’s notable for its performance in code generation and completion, leveraging approximately 12 billion parameters. The model functions as a Continue.AI extension and is designed for developers, software engineers, and anyone requiring assistance with coding tasks.