Kimi K2.6 vs Nemotron 3.5 Super VL (120B A12B)
Kimi K2.6 leads the LLM Stats Score 43.4 to 35.0. Nemotron 3.5 Super VL (120B A12B) is 3.6x cheaper per token.
Moonshot AI · NVIDIA · Updated for 2026
Which is better?
Kimi K2.6 leads the overall LLM Stats Score 43.4 to 35.0, ranking #53 overall.
In the 11 individual benchmarks reported for both models, Kimi K2.6 wins 11; this is a narrower head-to-head signal than the composite indexes.
On price, Nemotron 3.5 Super VL (120B A12B) is roughly 3.6x 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 K2.6
- overall performance matters — it scores 43.4 and ranks #53 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 11 of 11 exact shared results
Choose Nemotron 3.5 Super VL (120B A12B)
- cost matters — it's about 3.6x cheaper per token
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
28 reported for Kimi K2.6 · 19 for Nemotron 3.5 Super VL (120B A12B)
Kimi K2.6 outperforms in 11 benchmarks (BrowseComp, CharXiv-R, GPQA, Humanity's Last Exam, LiveCodeBench v6, MathVision, OSWorld-Verified, SciCode, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified), while Nemotron 3.5 Super VL (120B A12B) is better at 0 benchmarks.
Kimi K2.6 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.6 ($0.75/1M tokens) is 3.8x more expensive than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).
For output processing, Kimi K2.6 ($3.50/1M tokens) is 3.5x more expensive than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).
In conclusion, Kimi K2.6 is more expensive than Nemotron 3.5 Super VL (120B A12B).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2.6 has 880.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 733.3% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 262,144 tokens. Nemotron 3.5 Super VL (120B A12B) can generate longer responses up to 262,144 tokens, while Kimi K2.6 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Kimi K2.6 and Nemotron 3.5 Super VL (120B A12B) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K2.6
Nemotron 3.5 Super VL (120B A12B)
License
Usage and distribution terms
Kimi K2.6 is licensed under Modified MIT License, 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.
Modified MIT License
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
Kimi K2.6 was released on 2026-04-20, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.
Nemotron 3.5 Super VL (120B A12B) is 6 months newer than Kimi K2.6.
Apr 20, 2026
6 months ago
Oct 15, 2026
4 days ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K2.6 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.
Kimi K2.6
Nemotron 3.5 Super VL (120B A12B)
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2.6 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2.6 vs Nemotron 3.5 Super VL (120B A12B).
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