Nemotron 3 Ultra 550B A55B vs Trinity Large Thinking vs Qwen3.6 27B
Too close to call on our weighted score (Qwen3.6 27B 56, Trinity Large Thinking 55, Nemotron 3 Ultra 550B A55B 50). The right pick depends on what you value most.
NVIDIANemotron 3 Ultra 550B A55B
50/100- ECI146.2
- Price$0.50 / $2.50
- Context1M
Arcee AITrinity Large Thinking
55/100- ECI—
- Price$0.25 / $0.80
- Context524K
Alibaba (Qwen)Qwen3.6 27B
56/100- ECI146.5
- Price$0.60 / $3.60
- Context262K
Too close to call
It is close. Our weighted score puts them within 1 points (Qwen3.6 27B 56/100, Trinity Large Thinking 55/100, Nemotron 3 Ultra 550B A55B 50/100), so choose by what matters most for your work: Trinity Large Thinking on price and Nemotron 3 Ultra 550B A55B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceTrinity Large ThinkingTrinity Large Thinking $0.388 · Nemotron 3 Ultra 550B A55B $1.00 · Qwen3.6 27B $1.35 per 1M tokens (3:1 blend)
- Longest contextNemotron 3 Ultra 550B A55BNemotron 3 Ultra 550B A55B 1,000,000 · Trinity Large Thinking 524,288 · Qwen3.6 27B 262,144 tokens
- Widest inputsQwen3.6 27BNemotron 3 Ultra 550B A55B: Text · Trinity Large Thinking: Text · Qwen3.6 27B: Text, Images, Audio, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron 3 Ultra 550B A55B | Trinity Large Thinking | Qwen3.6 27B |
|---|---|---|---|---|
| Price | 50% | 50 | 69 | 44 |
| Inputs & features | 30% | 45 | 35 | 90 |
| Context window | 20% | 60 | 49 | 37 |
| Overall | 100% | 50/100 | 55/100 | 56/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Nemotron 3 Ultra 550B A55BNVIDIA | Trinity Large ThinkingArcee AI | Qwen3.6 27BAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 146.2 | — | 146.5 (best) |
| ECI rank | #70 of 148 | — | #68 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 85.4% | — | 85.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 35.1% |
| OTIS Mock AIME 2024–2025Competition mathematics | 86.7% | — | 91.1% (best) |
| Price per million tokens | |||
| Input | $0.50 | $0.25 (best) | $0.60 |
| Output | $2.50 | $0.80 (best) | $3.60 |
| Cached input | $0.15 | $0.06 (best) | — |
| Blended (3:1) | $1.00 | $0.388 (best) | $1.35 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Nvidia API | Official Arcee API | Official Alibaba API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 524,288 tokens | 262,144 tokens |
| Max output | 128,000 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Open | OpenOpenMDW-1.1 | Open |
| API model ID | nvidia/nemotron-3-ultra-550b-a55b | trinity-large-thinking | qwen3.6-27b |
| API providers | 21 | 6 | 27 (best) |
| Released | Jun 4, 2026 | Apr 1, 2026 | Apr 22, 2026 |
| Knowledge cutoff | — | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Nemotron 3 Ultra 550B A55B$10.00
- Trinity Large Thinking$4.10
- Qwen3.6 27B$13.20
Which should you choose?
Which is better: Nemotron 3 Ultra 550B A55B, Trinity Large Thinking or Qwen3.6 27B?
It is close. Our weighted score puts them within 1 points (Qwen3.6 27B 56/100, Trinity Large Thinking 55/100, Nemotron 3 Ultra 550B A55B 50/100), so choose by what matters most for your work: Trinity Large Thinking on price and Nemotron 3 Ultra 550B A55B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Nemotron 3 Ultra 550B A55B, Trinity Large Thinking or Qwen3.6 27B?
Trinity Large Thinking is cheaper at $0.25 input / $0.80 output per million tokens (official Arcee API price). Nemotron 3 Ultra 550B A55B costs $0.50 input / $2.50 output per million tokens (official Nvidia API price); Qwen3.6 27B costs $0.60 input / $3.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.388 per million tokens for Trinity Large Thinking versus $1.00 for Nemotron 3 Ultra 550B A55B (2.6× as much) and $1.35 for Qwen3.6 27B (3.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nemotron 3 Ultra 550B A55B has an ECI of 146.2, Trinity Large Thinking has not been scored yet and Qwen3.6 27B has an ECI of 146.5.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron 3 Ultra 550B A55B, Trinity Large Thinking and Qwen3.6 27B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Nemotron 3 Ultra 550B A55B has the largest context window at 1,000,000 tokens, against 524,288 for Trinity Large Thinking and 262,144 for Qwen3.6 27B. Maximum output per response: Nemotron 3 Ultra 550B A55B up to 128,000, Trinity Large Thinking up to 262,144, Qwen3.6 27B up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3 Ultra 550B A55B accepts text; Trinity Large Thinking accepts text; Qwen3.6 27B accepts text, images, audio and video. Qwen3.6 27B handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (OpenMDW-1.1), so you can self-host them.
Which is newer?
Nemotron 3 Ultra 550B A55B is the newest, released Jun 4, 2026. Qwen3.6 27B came out Apr 22, 2026; Trinity Large Thinking came out Apr 1, 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
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