Hy3 vs Nemotron 3.5 Super VL (120B A12B)
Hy3 leads the LLM Stats Score 42.6 to 35.0. Hy3 is 1.6x cheaper per token.
Tencent · NVIDIA · Updated for 2026
Which is better?
Hy3 leads the overall LLM Stats Score 42.6 to 35.0, ranking #60 overall.
In the 7 individual benchmarks reported for both models, Hy3 wins 7; this is a narrower head-to-head signal than the composite indexes.
On price, Hy3 is roughly 1.6x 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 Hy3
- overall performance matters — it scores 42.6 and ranks #60 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 7 of 7 exact shared results
- cost matters — it's about 1.6x cheaper per token
Choose Nemotron 3.5 Super VL (120B A12B)
- 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
31 reported for Hy3 · 19 for Nemotron 3.5 Super VL (120B A12B)
Hy3 outperforms in 7 benchmarks (AA-LCR, BrowseComp, GPQA, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.1), while Nemotron 3.5 Super VL (120B A12B) is better at 0 benchmarks.
Hy3 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, Hy3 ($0.14/1M tokens) is 1.4x cheaper than Nemotron 3.5 Super VL (120B A12B) ($0.20/1M tokens).
For output processing, Hy3 ($0.58/1M tokens) is 1.7x cheaper than Nemotron 3.5 Super VL (120B A12B) ($1.00/1M tokens).
In conclusion, Nemotron 3.5 Super VL (120B A12B) is more expensive than Hy3.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Hy3 has 175.0B more parameters than Nemotron 3.5 Super VL (120B A12B), making it 145.8% larger.
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.
Input capabilities
Documented input modalities across available providers
Nemotron 3.5 Super VL (120B A12B) supports multimodal inputs, whereas Hy3 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.
Hy3
Nemotron 3.5 Super VL (120B A12B)
License
Usage and distribution terms
Hy3 is licensed under Apache 2.0, 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.
Apache 2.0
Open weights
OpenMDW License v1.1
Open weights
Release Timeline
When each model was launched
Hy3 was released on 2026-07-06, while Nemotron 3.5 Super VL (120B A12B) was released on 2026-10-15.
Nemotron 3.5 Super VL (120B A12B) is 3 months newer than Hy3.
Jul 6, 2026
3 months ago
Oct 15, 2026
4 days ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Hy3 is available from DeepInfra. Nemotron 3.5 Super VL (120B A12B) is available from DeepInfra.
Hy3
Nemotron 3.5 Super VL (120B A12B)
Outputs Comparison
Judge for yourself.
Run your own prompts against Hy3 and Nemotron 3.5 Super VL (120B A12B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy3 vs Nemotron 3.5 Super VL (120B A12B).
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