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Kimi K2 Base vs Nemotron 3.5 Super VL (120B A12B)

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 13.2.

Moonshot AI · NVIDIA · Updated for 2026

Which is better?

Nemotron 3.5 Super VL (120B A12B) leads the overall LLM Stats Score 35.0 to 13.2, ranking #108 overall.

In the 2 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.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Kimi K2 Base

  • you are already invested in the Moonshot AI ecosystem

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 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Kimi K2 Base
Moonshot AI
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
13.2
#268
35.0
#108
Reasoning
12.3
#266
36.2
#94
Coding
10.6
#184
21.0
#108
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.20 / M
Output price
— / M
$1.00 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2 Base
Nemotron 3.5 Super VL (120B A12B)
Math
14.2#230
28.1#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Kimi K2 Base · 19 for Nemotron 3.5 Super VL (120B A12B)

2 shared

Kimi K2 Base outperforms in 0 benchmarks, while Nemotron 3.5 Super VL (120B A12B) is better at 2 benchmarks (GPQA, LiveCodeBench v6).

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

Model Size

Parameter count comparison

880.0B diff

Kimi K2 Base has 880.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 733.3% larger.

Moonshot AI
Kimi K2 Base
1.0Tparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
1000.0B
Kimi K2 Base
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Only Nemotron 3.5 Super VL (120B A12B) specifies input context (262,144 tokens). Only Nemotron 3.5 Super VL (120B A12B) specifies output context (262,144 tokens).

Moonshot AI
Kimi K2 Base
Input- tokens
Output- 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

Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas Kimi K2 Base 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.

Kimi K2 Base

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 Base is licensed under MIT, 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.

Kimi K2 Base

MIT

Open weights

Nemotron 3.5 Super VL (120B A12B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Kimi K2 Base was released on 2025-07-11, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 15 months newer than Kimi K2 Base.

Kimi K2 Base

Jul 11, 2025

1.3 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

2 days ago

1.3yr 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Kimi K2 Base and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Kimi K2 Base
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Kimi K2 Base vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Kimi K2 Base or Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 13.2. Kimi K2 Base is made by Moonshot 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 Kimi K2 Base compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%. 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%.

What are the context window sizes for Kimi K2 Base and Nemotron 3.5 Super VL (120B A12B)?

Kimi K2 Base supports an unknown number of 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 Kimi K2 Base and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (13.2 vs 35.0), multimodal support (no vs yes), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Base and Nemotron 3.5 Super VL (120B A12B)?

Kimi K2 Base is developed by Moonshot AI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

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