Mistral NeMo Instruct vs QvQ-72B-Preview
QvQ-72B-Preview leads the LLM Stats Score 7.9 to -4.8.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
QvQ-72B-Preview leads the overall LLM Stats Score 7.9 to -4.8, ranking #282 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral NeMo Instruct
- you want predictable pricing at $0.02/M input and $0.03/M output
Choose QvQ-72B-Preview
- overall performance matters — it scores 7.9 and ranks #282 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Dec 2024
At a glance
The differences that matter most.
Individual benchmarks
8 reported for Mistral NeMo Instruct · 4 for QvQ-72B-Preview
Mistral NeMo Instruct and QvQ-72B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
QvQ-72B-Preview has 61.4B more parameters than Mistral NeMo Instruct, making it 511.7% larger.
Context Window
Maximum input and output token capacity
Only Mistral NeMo Instruct specifies input context (131,072 tokens). Only Mistral NeMo Instruct specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
QvQ-72B-Preview supports multimodal inputs, whereas Mistral NeMo Instruct does not.
QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral NeMo Instruct
QvQ-72B-Preview
License
Usage and distribution terms
Mistral NeMo Instruct is licensed under Apache 2.0, while QvQ-72B-Preview uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Qwen
Open weights
Release Timeline
When each model was launched
Mistral NeMo Instruct was released on 2024-07-18, while QvQ-72B-Preview was released on 2024-12-25.
QvQ-72B-Preview is 5 months newer than Mistral NeMo Instruct.
Jul 18, 2024
2.2 years ago
Dec 25, 2024
1.7 years ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral NeMo Instruct and QvQ-72B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral NeMo Instruct vs QvQ-72B-Preview.