Kimi K2-Instruct-0905 vs Nemotron 3.5 Super VL (120B A12B)
Nemotron 3.5 Super VL (120B A12B) leads the LLM Stats Score 35.0 to 21.3.
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 21.3, 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Kimi K2-Instruct-0905
- 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 and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- 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
29 reported for Kimi K2-Instruct-0905 · 19 for Nemotron 3.5 Super VL (120B A12B)
Kimi K2-Instruct-0905 outperforms in 0 benchmarks, while Nemotron 3.5 Super VL (120B A12B) is better at 4 benchmarks (GPQA, Humanity's Last Exam, SWE-bench Multilingual, SWE-Bench Verified).
Nemotron 3.5 Super VL (120B A12B) significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Kimi K2-Instruct-0905 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
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).
Input capabilities
Documented input modalities across available providers
Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas Kimi K2-Instruct-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-Instruct-0905
Nemotron 3.5 Super VL (120B A12B)
License
Usage and distribution terms
Kimi K2-Instruct-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.
MIT
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
Kimi K2-Instruct-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-Instruct-0905.
Sep 5, 2025
1.1 years ago
Oct 15, 2026
4 days ago
1.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K2-Instruct-0905 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K2-Instruct-0905 vs Nemotron 3.5 Super VL (120B A12B).
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