Mistral Small vs Nemotron 3.5 Super VL (120B A12B)
Comparing Mistral Small and Nemotron 3.5 Super VL (120B A12B) across benchmarks, pricing, and capabilities.
Mistral AI · NVIDIA · Updated for 2026
Which is better?
Mistral Small and Nemotron 3.5 Super VL (120B A12B) trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nemotron 3.5 Super VL (120B A12B) also accepts a larger context window (262,144 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 Small
- cost matters — it's about 1.3x cheaper per token
Choose Nemotron 3.5 Super VL (120B A12B)
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
0 reported for Mistral Small · 19 for Nemotron 3.5 Super VL (120B A12B)
Mistral Small and Nemotron 3.5 Super VL (120B A12B)don'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
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Small ($0.20/1M tokens) costs the same as Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).
For output processing, Mistral Small ($0.60/1M tokens) is 1.7x cheaper than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).
In conclusion, Nemotron 3.5 Super VL (120B A12B) is more expensive than Mistral Small.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Nemotron 3.5 Super VL (120B A12B) has 98.0B more parameters than Mistral Small, making it 445.5% larger.
Context Window
Maximum input and output token capacity
Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to Mistral Small's 32,768 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while Mistral Small is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas Mistral Small does not.
Nemotron 3.5 Super VL (120B A12B) can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Small
Nemotron 3.5 Super VL (120B A12B)
License
Usage and distribution terms
Mistral Small is licensed under Mistral Research License, 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.
Mistral Research License
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
Mistral Small was released on 2024-09-17, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.
Nemotron 3.5 Super VL (120B A12B) is 25 months newer than Mistral Small.
Sep 17, 2024
2.1 years ago
Oct 15, 2026
2 days ago
2.1yr 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 Small is available from Mistral AI. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.
Mistral Small
Nemotron 3.5 Super VL (120B A12B)
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Small and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Small vs Nemotron 3.5 Super VL (120B A12B).
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