Nemotron 3 Ultra 550B A55B vs Trinity Large Thinking
Trinity Large Thinking comes out ahead, 55 to 50 on our weighted score, and it is the cheaper option too.
NVIDIA
Nemotron 3 Ultra 550B A55B
50/100- ECI146.2
- Price$0.50 / $2.50
- Context1M
- Our pick
Arcee AI
Trinity Large Thinking
55/100- ECI—
- Price$0.25 / $0.80
- Context524K
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Make it a three-way comparison.
Trinity Large Thinking is our pick
Trinity Large Thinking is the better all-round choice, scoring 55/100 against Nemotron 3 Ultra 550B A55B (50). It leads on price. Nemotron 3 Ultra 550B A55B wins on inputs & features and context window. 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 per 1M tokens (3:1 blend)
- Longest contextNemotron 3 Ultra 550B A55BNemotron 3 Ultra 550B A55B 1,000,000 · Trinity Large Thinking 524,288 tokens
- Widest inputsSame inputsNemotron 3 Ultra 550B A55B: Text · Trinity Large Thinking: Text
- 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 |
|---|---|---|---|
| Price | 50% | 50 | 69 |
| Inputs & features | 30% | 45 | 35 |
| Context window | 20% | 60 | 49 |
| Overall | 100% | 50/100 | 55/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 146.2 | — |
| ECI rank | #70 of 148 | — |
| GPQA DiamondGraduate-level science questions | 85.4% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 86.7% | — |
| Price per million tokens | ||
| Input | $0.50 | $0.25 (best) |
| Output | $2.50 | $0.80 (best) |
| Cached input | $0.15 | $0.06 (best) |
| Blended (3:1) | $1.00 | $0.388 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Nvidia API | Official Arcee API |
| Limits | ||
| Context window | 1,000,000 tokens (best) | 524,288 tokens |
| Max output | 128,000 tokens | 262,144 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | OpenOpenMDW-1.1 |
| API model ID | nvidia/nemotron-3-ultra-550b-a55b | trinity-large-thinking |
| API providers | 21 (best) | 6 |
| Released | Jun 4, 2026 | Apr 1, 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
Which should you choose?
Which is better: Nemotron 3 Ultra 550B A55B or Trinity Large Thinking?
Trinity Large Thinking is the better all-round choice, scoring 55/100 against Nemotron 3 Ultra 550B A55B (50). It leads on price. Nemotron 3 Ultra 550B A55B wins on inputs & features and context window. 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 or Trinity Large Thinking?
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). 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).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Nemotron 3 Ultra 550B A55B has an ECI of 146.2 and Trinity Large Thinking has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron 3 Ultra 550B A55B and Trinity Large Thinking yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both 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. Maximum output per response: Nemotron 3 Ultra 550B A55B up to 128,000, Trinity Large Thinking up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3 Ultra 550B A55B accepts text; Trinity Large Thinking accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both 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. 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.