The AI arena is free today

Open Superagent

Kimi K2-Thinking-0905 vs Nemotron 3.5 Super VL (120B A12B)

Kimi K2-Thinking-0905 and Nemotron 3.5 Super VL (120B A12B) are closely matched at 35.6 and 35.0 on the LLM Stats Score. Nemotron 3.5 Super VL (120B A12B) is 2.1x cheaper per token.

Moonshot AI · NVIDIA · Updated for 2026

Which is better?

Kimi K2-Thinking-0905 and Nemotron 3.5 Super VL (120B A12B) are closely matched on the overall LLM Stats Score at 35.6 and 35.0.

In the 7 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose Kimi K2-Thinking-0905

  • you want predictable pricing at $0.47/M input and $2.00/M output

Choose Nemotron 3.5 Super VL (120B A12B)

  • you value its reported benchmark strengths — it wins 5 of 7 exact shared results
  • cost matters — it's about 2.1x cheaper per token
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Kimi K2-Thinking-0905
Moonshot AI
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
35.6
#101
35.0
#108
Reasoning
36.0
#96
36.2
#94
Coding
20.3
#115
21.0
#108
Agents
15.8
#102
16.5
#99
Cost, coverage & limits
Benchmark wins
2 of 7
5 of 7
Input price
$0.47 / M
$0.20 / M
Output price
$2.00 / M
$1.00 / M
Context window
262,144
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2-Thinking-0905
Nemotron 3.5 Super VL (120B A12B)
Math
37.7#30
28.1#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

21 reported for Kimi K2-Thinking-0905 · 19 for Nemotron 3.5 Super VL (120B A12B)

7 shared

Kimi K2-Thinking-0905 outperforms in 2 benchmarks (Humanity's Last Exam, SWE-Bench Verified), while Nemotron 3.5 Super VL (120B A12B) is better at 5 benchmarks (BrowseComp, GPQA, LiveCodeBench v6, SciCode, SWE-bench Multilingual).

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

Nemotron 3.5 Super VL (120B A12B) costs less

For input processing, Kimi K2-Thinking-0905 ($0.47/1M tokens) is 2.3x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, Kimi K2-Thinking-0905 ($2.00/1M tokens) is 2.0x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, Kimi K2-Thinking-0905 is more expensive than Nemotron 3.5 Super VL (120B A12B).*

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

Lowest available price from all providers
Tue Oct 20 2026 • llm-stats.com
Moonshot AI
Kimi K2-Thinking-0905
Input tokens$0.47
Output tokens$2.00
Best providerDeepinfra
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

880.0B diff

Kimi K2-Thinking-0905 has 880.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 733.3% larger.

Moonshot AI
Kimi K2-Thinking-0905
1.0Tparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
1000.0B
Kimi K2-Thinking-0905
120.0B
Nemotron 3.5 Super VL (120B A12B)

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Both models can generate responses up to 262,144 tokens.

Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 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-Thinking-0905 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-Thinking-0905

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2-Thinking-0905 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-Thinking-0905

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-Thinking-0905 was released on 2025-09-05, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.

Nemotron 3.5 Super VL (120B A12B) is 14 months newer than Kimi K2-Thinking-0905.

Kimi K2-Thinking-0905

Sep 5, 2025

1.1 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

5 days ago

1.1yr 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

Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.

Kimi K2-Thinking-0905

deepinfra logo
Deepinfra
Input Price:Input: $0.47/1MOutput Price:Output: $2.00/1M
novita logo
Novita
Input Price:Input: $0.48/1MOutput Price:Output: $2.00/1M
fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

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 Kimi K2-Thinking-0905 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.

Kimi K2-Thinking-0905
✓ Preferred
Nemotron 3.5 Super VL (120B A12B)
Open in Playground

FAQ

Common questions about Kimi K2-Thinking-0905 vs Nemotron 3.5 Super VL (120B A12B).

Which is better, Kimi K2-Thinking-0905 or Nemotron 3.5 Super VL (120B A12B)?

Kimi K2-Thinking-0905 and Nemotron 3.5 Super VL (120B A12B) are closely matched on the LLM Stats Score at 35.6 and 35.0. Kimi K2-Thinking-0905 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-Thinking-0905 compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Kimi K2-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%. 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 Kimi K2-Thinking-0905 cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 2.3x cheaper for input tokens. Kimi K2-Thinking-0905 costs $0.47/M input and $2.00/M output via deepinfra. 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 Kimi K2-Thinking-0905 and Nemotron 3.5 Super VL (120B A12B)?

Kimi K2-Thinking-0905 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 Kimi K2-Thinking-0905 and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (35.6 vs 35.0), input pricing ($0.47 vs $0.20/M), 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-Thinking-0905 and Nemotron 3.5 Super VL (120B A12B)?

Kimi K2-Thinking-0905 is developed by Moonshot AI and Nemotron 3.5 Super VL (120B A12B) is developed by NVIDIA.

Related comparisons