Model Comparison

Mistral Large 3 vs Nemotron 3 Nano (30B A3B)

Comparing Mistral Large 3 and Nemotron 3 Nano (30B A3B) across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Large 3 and Nemotron 3 Nano (30B A3B) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Nano (30B A3B) costs less

For input processing, Mistral Large 3 ($2.00/1M tokens) is 33.3x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).

For output processing, Mistral Large 3 ($5.00/1M tokens) is 20.8x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, Mistral Large 3 is more expensive than Nemotron 3 Nano (30B A3B).*

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

Lowest available price from all providers
Mon May 18 2026 • llm-stats.com
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

643.0B diff

Mistral Large 3 has 643.0B more parameters than Nemotron 3 Nano (30B A3B), making it 2009.4% larger.

Mistral AI
Mistral Large 3
675.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
675.0B
Mistral Large 3
32.0B
Nemotron 3 Nano (30B A3B)

Context Window

Maximum input and output token capacity

Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to Mistral Large 3's 128,000 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while Mistral Large 3 is limited to 8,192 tokens.

Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Mon May 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.

Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 3

Text
Images
Audio
Video

Nemotron 3 Nano (30B A3B)

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 3 is licensed under Apache 2.0, while Nemotron 3 Nano (30B A3B) uses NVIDIA Open Model License Agreement .

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Large 3

Apache 2.0

Open weights

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Mistral Large 3 was released on 2025-09-01, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.

Nemotron 3 Nano (30B A3B) is 4 months newer than Mistral Large 3.

Mistral Large 3

Sep 1, 2025

8 months ago

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

5 months ago

3mo newer

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while Mistral Large 3's cutoff date is not specified.

We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without Mistral Large 3's cutoff date.

Mistral Large 3

—

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

Mistral Large 3 is available from Mistral AI. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

Mistral Large 3

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M

Nemotron 3 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.24/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Mistral AI
Supports multimodal inputs
NVIDIA
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Large 3
NVIDIA
Nemotron 3 Nano (30B A3B)

FAQ

Common questions about Mistral Large 3 vs Nemotron 3 Nano (30B A3B).

Which is better, Mistral Large 3 or Nemotron 3 Nano (30B A3B)?

Mistral Large 3 (Mistral AI) and Nemotron 3 Nano (30B A3B) (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Mistral Large 3 compare to Nemotron 3 Nano (30B A3B) in benchmarks?

Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.

Is Mistral Large 3 cheaper than Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) is 33.3x cheaper for input tokens. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra.

What are the context window sizes for Mistral Large 3 and Nemotron 3 Nano (30B A3B)?

Mistral Large 3 supports 128K tokens and Nemotron 3 Nano (30B A3B) 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 Large 3 and Nemotron 3 Nano (30B A3B)?

Key differences include context window (128K vs 262K), input pricing ($2.00 vs $0.06/M), multimodal support (yes vs no), licensing (Apache 2.0 vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 and Nemotron 3 Nano (30B A3B)?

Mistral Large 3 is developed by Mistral AI and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.