Mistral Small 3.1 24B Instruct vs Nemotron 3.5 Super VL (120B A12B)
Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 3.9.
Mistral AI · NVIDIA · Updated for 2026
Which is better?
Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to 3.9, ranking #108 overall.
In the 1 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral Small 3.1 24B Instruct
- you are already invested in the Mistral AI ecosystem
Choose Nemotron 3.5 Super VL (120B A12B)
- overall performance matters — it scores 35.0 and ranks #108 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Mistral Small 3.1 24B Instruct · 19 for Nemotron 3.5 Super VL (120B A12B)
Mistral Small 3.1 24B Instruct outperforms in 0 benchmarks, while Nemotron 3.5 Super VL (120B A12B) is better at 1 benchmark (GPQA).
Nemotron 3.5 Super VL (120B A12B) significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Nemotron 3.5 Super VL (120B A12B) has 96.0B more parameters than Mistral Small 3.1 24B Instruct, making it 400.0% larger.
Context Window
Maximum input and output token capacity
Only Nemotron 3.5 Super VL (120B A12B) specifies input context (262,144 tokens). Only Nemotron 3.5 Super VL (120B A12B) specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Both Mistral Small 3.1 24B Instruct and Nemotron 3.5 Super VL (120B A12B) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Small 3.1 24B Instruct
Nemotron 3.5 Super VL (120B A12B)
License
Usage and distribution terms
Mistral Small 3.1 24B Instruct is licensed under Apache 2.0, while Nemotron 3.5 Super VL (120B A12B) uses OpenMDW License v1.1.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
Mistral Small 3.1 24B Instruct was released on 2025-03-17, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.
Nemotron 3.5 Super VL (120B A12B) is 19 months newer than Mistral Small 3.1 24B Instruct.
Mar 17, 2025
1.6 years ago
Oct 15, 2026
2 days ago
1.6yr 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 Small 3.1 24B Instruct and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Small 3.1 24B Instruct vs Nemotron 3.5 Super VL (120B A12B).
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More Nemotron 3.5 Super VL (120B A12B) comparisons
- Nemotron 3.5 Super VL (120B A12B) vs MiniMax M3.1 Flash
- Nemotron 3.5 Super VL (120B A12B) vs DeepSeek-V4.1-Flash-1017
- Nemotron 3.5 Super VL (120B A12B) vs Nemotron Labs Dory 1.0 (4B)
- Nemotron 3.5 Super VL (120B A12B) vs Muse Spark Open
- Nemotron 3.5 Super VL (120B A12B) vs Nemotron 3.5 Bolt (74B A9B 24GB)
- Nemotron 3.5 Super VL (120B A12B) vs Muse Wonder