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Mistral Large 4 vs Nemotron 3.5 Lightning (30B A3B)

Mistral Large 4 leads the LLM Stats Score 46.2 to 21.9. Nemotron 3.5 Lightning (30B A3B) is 9.4x cheaper per token.

Mistral AI · NVIDIA · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 21.9, ranking #34 overall.

In the 1 individual benchmarks reported for both models, Mistral Large 4 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Nemotron 3.5 Lightning (30B A3B) is roughly 9.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 also accepts a larger context window (1,000,000 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 Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — 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 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Nemotron 3.5 Lightning (30B A3B)

  • cost matters — it's about 9.4x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Nemotron 3.5 Lightning (30B A3B)
NVIDIA
Core performance indexes
LLM Stats Score
46.2
#34
21.9
#196
Reasoning
44.0
#43
19.5
#213
Coding
35.8
#27
8.1
#196
Agents
34.3
#26
6.6
#155
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.68 / M
$0.08 / M
Output price
$2.09 / M
$0.20 / M
Context window
1,000,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 4
Nemotron 3.5 Lightning (30B A3B)
Tool use
27.1#26
-0.2#194
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 13 for Nemotron 3.5 Lightning (30B A3B)

1 shared

Mistral Large 4 outperforms in 1 benchmarks (SciCode), while Nemotron 3.5 Lightning (30B A3B) is better at 0 benchmarks.

Mistral Large 4 significantly outperforms across most benchmarks.

Sun Oct 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Nemotron 3.5 Lightning (30B A3B) costs less

For input processing, Mistral Large 4 ($0.68/1M tokens) is 8.5x more expensive than Nemotron 3.5 Lightning (30B A3B) ($0.08/1M tokens).

For output processing, Mistral Large 4 ($2.09/1M tokens) is 10.4x more expensive than Nemotron 3.5 Lightning (30B A3B) ($0.20/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Nemotron 3.5 Lightning (30B A3B).*

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

Lowest available price from all providers
Sun Oct 11 2026 • llm-stats.com
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
NVIDIA
Nemotron 3.5 Lightning (30B A3B)
Input tokens$0.08
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

1020.0B diff

Mistral Large 4 has 1020.0B more parameters than Nemotron 3.5 Lightning (30B A3B), making it 3400.0% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
NVIDIA
Nemotron 3.5 Lightning (30B A3B)
30.0Bparameters
1050.0B
Mistral Large 4
30.0B
Nemotron 3.5 Lightning (30B A3B)

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Nemotron 3.5 Lightning (30B A3B)'s 262,144 tokens. Only Nemotron 3.5 Lightning (30B A3B) specifies output context (262,144 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
NVIDIA
Nemotron 3.5 Lightning (30B A3B)
Input262,144 tokens
Output262,144 tokens
Sun Oct 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Nemotron 3.5 Lightning (30B A3B) does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 4

Text
Images
Audio
Video

Nemotron 3.5 Lightning (30B A3B)

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Nemotron 3.5 Lightning (30B A3B) uses OpenMDW License v1.1.

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

Mistral Large 4

Proprietary

Closed source

Nemotron 3.5 Lightning (30B A3B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Nemotron 3.5 Lightning (30B A3B) was released on 2026-08-11.

Mistral Large 4 is 2 months newer than Nemotron 3.5 Lightning (30B A3B).

Mistral Large 4

Oct 6, 2026

5 days ago

1mo newer
Nemotron 3.5 Lightning (30B A3B)

Aug 11, 2026

2 months ago

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 Large 4 is available from Mistral AI. Nemotron 3.5 Lightning (30B A3B) is available from DeepInfra.

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M

Nemotron 3.5 Lightning (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Nemotron 3.5 Lightning (30B A3B) side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Nemotron 3.5 Lightning (30B A3B)
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Nemotron 3.5 Lightning (30B A3B).

Which is better, Mistral Large 4 or Nemotron 3.5 Lightning (30B A3B)?

Mistral Large 4 leads the LLM Stats Score 46.2 to 21.9. Mistral Large 4 is made by Mistral AI and Nemotron 3.5 Lightning (30B A3B) 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 Large 4 compare to Nemotron 3.5 Lightning (30B A3B) in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. Nemotron 3.5 Lightning (30B A3B) scores PinchBench: 85.4%, MMLU-Pro: 81.9%, GPQA: 75.4%, IFBench: 71.9%, AA-LCR: 52.0%.

Is Mistral Large 4 cheaper than Nemotron 3.5 Lightning (30B A3B)?

Nemotron 3.5 Lightning (30B A3B) is 8.5x cheaper for input tokens. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral. Nemotron 3.5 Lightning (30B A3B) costs $0.08/M input and $0.20/M output via deepinfra.

What are the context window sizes for Mistral Large 4 and Nemotron 3.5 Lightning (30B A3B)?

Mistral Large 4 supports 1.0M tokens and Nemotron 3.5 Lightning (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 4 and Nemotron 3.5 Lightning (30B A3B)?

Key differences include LLM Stats Score (46.2 vs 21.9), context window (1.0M vs 262K), input pricing ($0.68 vs $0.08/M), multimodal support (yes vs no), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Nemotron 3.5 Lightning (30B A3B)?

Mistral Large 4 is developed by Mistral AI and Nemotron 3.5 Lightning (30B A3B) is developed by NVIDIA.

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