Nemotron 3 Ultra (550B A55B) vs Qwen3.8-27B
Qwen3.8-27B leads the LLM Stats Score 45.1 to 36.3. Nemotron 3 Ultra (550B A55B) is 1.1x cheaper per token.
NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8-27B leads the overall LLM Stats Score 45.1 to 36.3, ranking #31 overall.
In the 5 individual benchmarks reported for both models, Qwen3.8-27B wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Nemotron 3 Ultra (550B A55B) is roughly 1.1x 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 Nemotron 3 Ultra (550B A55B)
- cost matters — it's about 1.1x cheaper per token
Choose Qwen3.8-27B
- overall performance matters — it scores 45.1 and ranks #31 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
26 reported for Nemotron 3 Ultra (550B A55B) · 26 for Qwen3.8-27B
Nemotron 3 Ultra (550B A55B) outperforms in 2 benchmarks (Humanity's Last Exam, IFBench), while Qwen3.8-27B is better at 3 benchmarks (GPQA, LiveCodeBench v6, Terminal-Bench 2.1).
Qwen3.8-27B has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Nemotron 3 Ultra (550B A55B) ($0.50/1M tokens) is 1.3x more expensive than Qwen3.8-27B ($0.40/1M tokens).
For output processing, Nemotron 3 Ultra (550B A55B) ($2.20/1M tokens) is 1.4x cheaper than Qwen3.8-27B ($3.00/1M tokens).
In conclusion, Qwen3.8-27B is more expensive than Nemotron 3 Ultra (550B A55B).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Nemotron 3 Ultra (550B A55B) has 522.2B more parameters than Qwen3.8-27B, making it 1879.7% 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
Qwen3.8-27B supports multimodal inputs, whereas Nemotron 3 Ultra (550B A55B) does not.
Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Nemotron 3 Ultra (550B A55B)
Qwen3.8-27B
License
Usage and distribution terms
Nemotron 3 Ultra (550B A55B) is licensed under OpenMDW License v1.1, while Qwen3.8-27B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
OpenMDW License v1.1
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Nemotron 3 Ultra (550B A55B) was released on 2026-06-04, while Qwen3.8-27B was released on 2026-08-14.
Qwen3.8-27B is 2 months newer than Nemotron 3 Ultra (550B A55B).
Jun 4, 2026
3 months ago
Aug 14, 2026
1 months ago
2mo newerKnowledge Cutoff
When training data ends
Nemotron 3 Ultra (550B A55B) has a documented knowledge cutoff of 2025-09-30, while Qwen3.8-27B's cutoff date is not specified.
We can confirm Nemotron 3 Ultra (550B A55B)'s training data extends to 2025-09-30, but cannot make a direct comparison without Qwen3.8-27B's cutoff date.
Sep 2025
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Provider Availability
Nemotron 3 Ultra (550B A55B) is available from DeepInfra. Qwen3.8-27B is available from DeepInfra, FriendliAI.
Nemotron 3 Ultra (550B A55B)
Qwen3.8-27B
Outputs Comparison
Judge for yourself.
Run your own prompts against Nemotron 3 Ultra (550B A55B) and Qwen3.8-27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nemotron 3 Ultra (550B A55B) vs Qwen3.8-27B.