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Ministral 3 (14B Reasoning 2512) vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 20.3. Ministral 3 (14B Reasoning 2512) is 2.0x 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 20.3, 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.

On price, Ministral 3 (14B Reasoning 2512) is roughly 2.0x 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 Ministral 3 (14B Reasoning 2512)

  • cost matters — it's about 2.0x 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 1 of 1 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.

Core performance indexes
20.3
#217
35.0
#108
20.3
#209
36.2
#94
11.0
#179
21.0
#108
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.20 / M
$0.20 / M
Output price
$0.20 / M
$1.00 / M
Context window
262,100
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ministral 3 (14B Reasoning 2512)
Nemotron 3.5 Super VL (120B A12B)
21.0#161
28.1#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ministral 3 (14B Reasoning 2512) · 19 for Nemotron 3.5 Super VL (120B A12B)

1 shared

Ministral 3 (14B Reasoning 2512) 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.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ministral 3 (14B Reasoning 2512) costs less

For input processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) costs the same as Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 5.0x 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 Ministral 3 (14B Reasoning 2512).*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
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

106.0B diff

Nemotron 3.5 Super VL (120B A12B) has 106.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 757.1% larger.

Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
14.0B
Ministral 3 (14B Reasoning 2512)
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 Ministral 3 (14B Reasoning 2512)'s 262,100 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while Ministral 3 (14B Reasoning 2512) is limited to 262,100 tokens.

Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Ministral 3 (14B Reasoning 2512) 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.

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (14B Reasoning 2512) 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.

Ministral 3 (14B Reasoning 2512)

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

Ministral 3 (14B Reasoning 2512) was released on 2025-12-04, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 11 months newer than Ministral 3 (14B Reasoning 2512).

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

10 months ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

5 days ago

10mo 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

Ministral 3 (14B Reasoning 2512) is available from Mistral AI. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

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 Ministral 3 (14B Reasoning 2512) and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Ministral 3 (14B Reasoning 2512)
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Ministral 3 (14B Reasoning 2512) vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Ministral 3 (14B Reasoning 2512) or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 20.3. Ministral 3 (14B Reasoning 2512) 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 Ministral 3 (14B Reasoning 2512) compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. 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 Ministral 3 (14B Reasoning 2512) cheaper than Nemotron 3.5 Super VL (120B A12B)?

Both models cost $0.20 per million input tokens.

What are the context window sizes for Ministral 3 (14B Reasoning 2512) and Nemotron 3.5 Super VL (120B A12B)?

Ministral 3 (14B Reasoning 2512) supports 262K 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 Ministral 3 (14B Reasoning 2512) and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (20.3 vs 35.0), context window (262K vs 262K), licensing (Apache 2.0 vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (14B Reasoning 2512) and Nemotron 3.5 Super VL (120B A12B)?

Ministral 3 (14B Reasoning 2512) is developed by Mistral AI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.