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

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 21.6. Nemotron 3.5 Super VL (120B A12B) is 1.3x cheaper per token.

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 21.6, ranking #108 overall.

In the 4 individual benchmarks reported for both models, Nemotron 3.5 Super VL (120B A12B) wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, Nemotron 3.5 Super VL (120B A12B) is roughly 1.3x 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 Kimi K2 Instruct

  • you want predictable pricing at $0.50/M input and $0.50/M output

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 4 of 4 exact shared results
  • cost matters — it's about 1.3x cheaper per token
  • 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.

Kimi K2 Instruct
Moonshot AI
Nemotron 3.5 Super VL (120B A12B)
NVIDIA
Core performance indexes
LLM Stats Score
21.6
#206
35.0
#108
Reasoning
21.7
#195
36.2
#94
Coding
12.1
#168
21.0
#108
Agents
-1.1
#200
16.5
#99
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
$0.50 / M
$0.20 / M
Output price
$0.50 / M
$1.00 / M
Context window
200,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Kimi K2 Instruct
Nemotron 3.5 Super VL (120B A12B)
Math
22.1#149
28.1#101
Tool use
6.3#163
11.0#133
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

38 reported for Kimi K2 Instruct · 19 for Nemotron 3.5 Super VL (120B A12B)

4 shared

Kimi K2 Instruct outperforms in 0 benchmarks, while Nemotron 3.5 Super VL (120B A12B) is better at 4 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6, SWE-bench Multilingual).

Nemotron 3.5 Super VL (120B A12B) significantly outperforms across most benchmarks.

Mon Oct 19 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 Instruct ($0.50/1M tokens) is 2.5x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).

For output processing, Kimi K2 Instruct ($0.50/1M tokens) is 2.0x cheaper than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).

In conclusion, Kimi K2 Instruct 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
Mon Oct 19 2026 • llm-stats.com
Moonshot AI
Kimi K2 Instruct
Input tokens$0.50
Output tokens$0.50
Best providerFireworks
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 Instruct has 880.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 733.3% larger.

Moonshot AI
Kimi K2 Instruct
1.0Tparameters
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
120.0Bparameters
1000.0B
Kimi K2 Instruct
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 Kimi K2 Instruct's 200,000 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while Kimi K2 Instruct is limited to 200,000 tokens.

Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
NVIDIA
Nemotron 3.5 Super VL (120B A12B)
Input262,144 tokens
Output262,144 tokens
Mon Oct 19 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 Instruct 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 Instruct

Text
Images
Audio
Video

Nemotron 3.5 Super VL (120B A12B)

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 Instruct 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 Instruct

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 Instruct 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 Instruct.

Kimi K2 Instruct

Jul 11, 2025

1.3 years ago

Nemotron 3.5 Super VL (120B A12B)

Oct 15, 2026

4 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

Provider Availability

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

Kimi K2 Instruct

fireworks logo
Fireworks
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.57/1MOutput Price:Output: $2.30/1M

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

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

FAQ

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

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

Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 21.6. Kimi K2 Instruct 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 Instruct compare to Nemotron 3.5 Super VL (120B A12B) in benchmarks?

Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%. 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 Instruct cheaper than Nemotron 3.5 Super VL (120B A12B)?

Nemotron 3.5 Super VL (120B A12B) is 2.5x cheaper for input tokens. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks. 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 Instruct and Nemotron 3.5 Super VL (120B A12B)?

Kimi K2 Instruct supports 200K 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 Instruct and Nemotron 3.5 Super VL (120B A12B)?

Key differences include LLM Stats Score (21.6 vs 35.0), context window (200K vs 262K), input pricing ($0.50 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 Instruct and Nemotron 3.5 Super VL (120B A12B)?

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

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