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Mistral Small 4 vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 18.6. Mistral Small 4 is 1.5x 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 18.6, ranking #108 overall.

In the 3 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Mistral Small 4 is roughly 1.5x 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 4

  • cost matters — it's about 1.5x 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 value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • 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.

Mistral Small 4
Mistral AI
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
18.6
#233
35.0
#108
Reasoning
19.5
#219
36.2
#94
Coding
10.6
#183
21.0
#108
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.15 / M
$0.20 / M
Output price
$0.60 / M
$1.00 / M
Context window
256,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Small 4
Nemotron 3.5 Super VL (120B A12B)
Math
19.0#180
28.1#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Mistral Small 4 · 19 for Nemotron 3.5 Super VL (120B A12B)

3 shared

Mistral Small 4 outperforms in 1 benchmarks (AA-LCR), while Nemotron 3.5 Super VL (120B A12B) is better at 2 benchmarks (GPQA, IFBench).

Nemotron 3.5 Super VL (120B A12B) shows notably better performance in the majority of benchmarks.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Small 4 costs less

For input processing, Mistral Small 4 ($0.15/1M tokens) is 1.3x cheaper than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, Mistral Small 4 ($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 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
Mistral AI
Mistral Small 4
Input tokens$0.15
Output tokens$0.60
Best providerMistral
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input tokens$0.20
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

1.0B diff

Nemotron 3.5 Super VL (120B A12B) has 1.0B more parameters than Mistral Small 4, making it 0.8% larger.

Mistral AI
Mistral Small 4
119.0Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
119.0B
Mistral Small 4
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Nemotron 3.5 Super VL (120B A12B) accepts 262,144 input tokens compared to Mistral Small 4's 256,000 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while Mistral Small 4 is limited to 256,000 tokens.

Mistral AI
Mistral Small 4
Input256,000 tokens
Output256,000 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Small 4 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 4

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 4 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.

Mistral Small 4

Apache 2.0

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Mistral Small 4 was released on 2026-03-16, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 7 months newer than Mistral Small 4.

Mistral Small 4

Mar 16, 2026

7 months ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 days ago

7mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Mistral Small 4 is available from Mistral AI. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

Mistral Small 4

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Nemotron 3.5 Super VL (120B A12B)

deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Small 4 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Mistral Small 4
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Mistral Small 4 vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Mistral Small 4 or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 18.6. Mistral Small 4 is made by Mistral AI and Nemotron 3.5 Super VL (120B A12B) is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Small 4 compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Mistral Small 4 scores AIME 2025: 83.8%, MMLU-Pro: 78.0%, AA-LCR: 71.2%, GPQA: 71.2%, LiveCodeBench: 63.6%. Nemotron 3.5 Super VL (120B A12B) scores GPQA: 89.5%, LiveCodeBench v6: 88.2%, CharXiv-R: 80.8%, MathVision: 78.2%, BrowseComp: 78.0%.

Is Mistral Small 4 cheaper than Nemotron 3.5 Super VL (120B A12B)?

Mistral Small 4 is 1.3x cheaper for input tokens. Mistral Small 4 costs $0.15/M input and $0.60/M output via mistral. Nemotron 3.5 Super VL (120B A12B) costs $0.20/M input and $1.00/M output via deepinfra.

What are the context window sizes for Mistral Small 4 and Nemotron 3.5 Super VL (120B A12B)?

Mistral Small 4 supports 256K tokens and Nemotron 3.5 Super VL (120B A12B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Small 4 and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (18.6 vs 35.0), context window (256K vs 262K), input pricing ($0.15 vs $0.20/M), licensing (Apache 2.0 vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 4 and Nemotron 3.5 Super VL (120B A12B)?

Mistral Small 4 is developed by Mistral AI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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