Mistral Small 3.2 24B vs Qwen3 Coder Next
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Mistral Small 3.2 24B and Qwen3 Coder Next.
Mistral Small 3.2 24B
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
Qwen3 Coder Next
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...
Technical Specifications
| Specification | Mistral Small 3.2 24B | Qwen3 Coder Next |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context Window | 128,000 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-20 | 2026-02-04 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Small 3.2 24B
$0.07
Qwen3 Coder Next
$0.11
Output Price per Million Tokens
Mistral Small 3.2 24B
$0.20
Qwen3 Coder Next
$0.80
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Mistral Small 3.2 24B Quirks & Gotchas
No developer gotchas reported.
Qwen3 Coder Next Quirks & Gotchas
No developer gotchas reported.