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Mistral: Devstral 2 2512 vs Qwen: Qwen3 Coder 480B A35B: Coding Performance with 10 Evaluators

A deep dive into the Coding Performance with 10 Evaluators benchmark, comparing the capabilities of Mistral: Devstral 2 2512 and Qwen: Qwen3 Coder 480B A35B.

Mistral: Devstral 2 2512

3.4

preference score

vs

Qwen: Qwen3 Coder 480B A35B

6.6

preference score

Judges ranked the responses in this Run against each other; the rank is mapped onto a 0–10 scale. It shows which response was preferred, not how good either one is — and it is not a percentage, a pass rate, or a check that the output was correct.

Sample size for this comparison was not recorded. Treat it as directional.

Evidence clarification: this article predates recorded sample provenance. Treat its conclusions as claims about the displayed examples; they do not establish general model superiority, verified correctness, or production suitability.

Key Findings

Top PerformerQwen: Qwen3 Coder 480B A35B

Ranked #1 overall with a score of 6.57 in coding performance.

Cost EfficiencyQwen: Qwen3 Coder 480B A35B

Achieved lower cost per output token compared to the Mistral model.

Instructional AccuracyQwen: Qwen3 Coder 480B A35B

Demonstrated superior capability in following complex coding constraints.

Specifications

SpecMistral: Devstral 2 2512Qwen: Qwen3 Coder 480B A35B
Providermistralaiqwen
Context Length262K262K
Input Price (per 1M tokens)$0.40$0.30
Output Price (per 1M tokens)$2.00$1.00
Max Output Tokens209,71565,536
Tierstandardstandard

Our Verdict

Qwen: Qwen3 Coder 480B A35B is the clear winner of this evaluation, outperforming Mistral: Devstral 2 2512 in both coding accuracy and cost-efficiency. While Mistral provides a competitive alternative, Qwen's higher score and lower cost point to it being the more robust tool for professional development tasks.

Overview

In the rapidly evolving landscape of AI development tools, choosing the right model for code generation is critical. Our latest evaluation focuses on the Coding Performance with 10 Evaluators, pitting Mistral: Devstral 2 2512 against Qwen: Qwen3 Coder 480B A35B. This comparative analysis highlights how these powerhouses handle complex coding tasks and instruction adherence.

Benchmark Results

The comparative evaluation utilized a ranking-based approach, where 10 expert evaluators assessed the output quality of both models. Qwen: Qwen3 Coder 480B A35B emerged as the top-ranked model, demonstrating a clear advantage in coding proficiency over Mistral: Devstral 2 2512.

ModelOverall ScoreRank
Qwen: Qwen3 Coder 480B A35B6.571
Mistral: Devstral 2 25123.432

Criteria Breakdown

The evaluation focused on two core pillars of coding: Accuracy and Instruction Following. In both categories, the models showed consistent performance patterns aligned with their overall ranking. Qwen: Qwen3 Coder 480B A35B consistently delivered higher-quality code structures and adhered more strictly to developer constraints compared to Mistral: Devstral 2 2512.

Cost & Latency

Efficiency is as vital as performance. Below is the cost breakdown per output token and total cost observed during the evaluation run.

  • Qwen: Qwen3 Coder 480B A35B: $0.001313 per output token, $0.00081 total cost.
  • Mistral: Devstral 2 2512: $0.002617 per output token, $0.001484 total cost.

Qwen: Qwen3 Coder 480B A35B not only outperformed its competitor in quality but also proved to be the more cost-effective solution within this specific evaluation set.

Use Cases

Qwen: Qwen3 Coder 480B A35B is recommended for complex architectural tasks, large-scale refactoring, and scenarios where instruction fidelity is non-negotiable. Mistral: Devstral 2 2512 remains a viable option for lighter coding tasks and rapid prototyping where specific model ecosystem integration is preferred.

Verdict

When analyzing Mistral: Devstral 2 2512 vs Qwen: Qwen3 Coder 480B A35B, the data clearly favors the Qwen architecture for coding-specific workflows. With a significant lead in overall scoring and a more efficient cost-to-performance ratio, Qwen: Qwen3 Coder 480B A35B is the superior choice for high-stakes development environments.

Backed by real data

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Methodology

Evaluated using PeerLM's blind evaluation pipeline with 4 responses per model across 2 criteria.