Mistral NeMo Instruct vs Nemotron 3.5 Super VL (120B A12B)
Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to -5.0. Mistral NeMo Instruct is 18.4x cheaper per token.
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 -5.0, ranking #108 overall.
On price, Mistral NeMo Instruct is roughly 18.4x 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 NeMo Instruct
- cost matters — it's about 18.4x cheaper per token
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 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
8 reported for Mistral NeMo Instruct · 19 for Nemotron 3.5 Super VL (120B A12B)
Mistral NeMo Instruct 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 NeMo Instruct ($0.02/1M tokens) is 10.5x cheaper than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).
For output processing, Mistral NeMo Instruct ($0.03/1M tokens) is 33.3x 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 NeMo Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Nemotron 3.5 Super VL (120B A12B) has 108.0B more parameters than Mistral NeMo Instruct, making it 900.0% larger.
Context Window
Maximum input and output token capacity
Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to Mistral NeMo Instruct's 131,072 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while Mistral NeMo Instruct is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas Mistral NeMo Instruct 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 NeMo Instruct
Nemotron 3.5 Super VL (120B A12B)
License
Usage and distribution terms
Mistral NeMo 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 NeMo Instruct was released on 2024-07-18, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.
Nemotron 3.5 Super VL (120B A12B) is 27 months newer than Mistral NeMo Instruct.
Jul 18, 2024
2.3 years ago
Oct 15, 2026
4 days ago
2.2yr 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. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.
Mistral NeMo Instruct
Nemotron 3.5 Super VL (120B A12B)
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral NeMo Instruct and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral NeMo Instruct vs Nemotron 3.5 Super VL (120B A12B).
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