Mistral NeMo Instruct vs Qwen2.5-Coder 32B Instruct
Mistral NeMo Instruct and Qwen2.5-Coder 32B Instruct are closely matched at -4.7 and 2.1 on the LLM Stats Score. Mistral NeMo Instruct is 4.1x cheaper per token.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Mistral NeMo Instruct and Qwen2.5-Coder 32B Instruct are closely matched on the overall LLM Stats Score at -4.7 and 2.1.
In the 4 individual benchmarks reported for both models, Qwen2.5-Coder 32B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral NeMo Instruct is roughly 4.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral NeMo Instruct also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral NeMo Instruct
- cost matters — it's about 4.1x cheaper per token
- you process long inputs — it offers a 131,072 token context window
Choose Qwen2.5-Coder 32B Instruct
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you want the most recent training data — it shipped Sep 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for Mistral NeMo Instruct · 15 for Qwen2.5-Coder 32B Instruct
Mistral NeMo Instruct outperforms in 1 benchmarks (HellaSwag), while Qwen2.5-Coder 32B Instruct is better at 3 benchmarks (MMLU, TruthfulQA, Winogrande).
Qwen2.5-Coder 32B Instruct shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral NeMo Instruct ($0.02/1M tokens) is 4.7x cheaper than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
For output processing, Mistral NeMo Instruct ($0.03/1M tokens) is 3.0x cheaper than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
In conclusion, Qwen2.5-Coder 32B Instruct is more expensive than Mistral NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen2.5-Coder 32B Instruct has 20.0B more parameters than Mistral NeMo Instruct, making it 166.7% larger.
Context Window
Maximum input and output token capacity
Mistral NeMo Instruct accepts 131,072 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Mistral NeMo Instruct can generate longer responses up to 131,072 tokens, while Qwen2.5-Coder 32B Instruct is limited to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mistral NeMo Instruct was released on 2024-07-18, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
Qwen2.5-Coder 32B Instruct is 2 months newer than Mistral NeMo Instruct.
Jul 18, 2024
2.1 years ago
Sep 19, 2024
2.0 years ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral NeMo Instruct is available from DeepInfra, Google, Mistral AI. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.
Mistral NeMo Instruct
Qwen2.5-Coder 32B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral NeMo Instruct and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral NeMo Instruct vs Qwen2.5-Coder 32B Instruct.