Trinity Large Thinking vs Mercury Edit 2 vs Nemotron 3 Nano Omni 30B A3B Reasoning
Nemotron 3 Nano Omni 30B A3B Reasoning comes out ahead, 69 to 55 and 35 on our weighted score, though Mercury Edit 2 is 6% cheaper per token.
Arcee AITrinity Large Thinking
55/100- ECI—
- Price$0.25 / $0.80
- Context524K
InceptionMercury Edit 2
35/100- ECI—
- Price$0.25 / $0.75
- Context32K
- Our pick
NVIDIANemotron 3 Nano Omni 30B A3B Reasoning
69/100- ECI—
- Price$0.25 / $0.85
- Context256K
Nemotron 3 Nano Omni 30B A3B Reasoning is our pick
Nemotron 3 Nano Omni 30B A3B Reasoning is the better all-round choice, scoring 69/100 against Trinity Large Thinking (55) and Mercury Edit 2 (35). It leads on inputs & features. Trinity Large Thinking wins on 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 priceMercury Edit 2Mercury Edit 2 $0.375 · Trinity Large Thinking $0.388 · Nemotron 3 Nano Omni 30B A3B Reasoning $0.40 per 1M tokens (3:1 blend)
- Longest contextTrinity Large ThinkingTrinity Large Thinking 524,288 · Nemotron 3 Nano Omni 30B A3B Reasoning 256,000 · Mercury Edit 2 32,000 tokens
- Widest inputsNemotron 3 Nano Omni 30B A3B ReasoningTrinity Large Thinking: Text · Mercury Edit 2: Text · Nemotron 3 Nano Omni 30B A3B Reasoning: Text, Images, Audio, Video
- Self-hostingTrinity Large Thinking and Nemotron 3 Nano Omni 30B A3B ReasoningPublishes downloadable weights (OpenMDW-1.1)
| Measure | Weight | Trinity Large Thinking | Mercury Edit 2 | Nemotron 3 Nano Omni 30B A3B Reasoning |
|---|---|---|---|---|
| Price | 50% | 69 | 70 | 69 |
| Inputs & features | 30% | 35 | 0 | 90 |
| Context window | 20% | 49 | 0 | 36 |
| Overall | 100% | 55/100 | 35/100 | 69/100 |
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 | Trinity Large ThinkingArcee AI | Mercury Edit 2Inception | Nemotron 3 Nano Omni 30B A3B ReasoningNVIDIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.25 | $0.25 | $0.25 |
| Output | $0.80 | $0.75 (best) | $0.85 |
| Cached input | $0.06 | $0.025 (best) | — |
| Blended (3:1) | $0.388 | $0.375 (best) | $0.40 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Arcee API | Official Inception API | Median of 4 providers |
| Limits | |||
| Context window | 524,288 tokens (best) | 32,000 tokens | 256,000 tokens |
| Max output | 262,144 tokens (best) | 8,192 tokens | 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 | No | Yes |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | OpenOpenMDW-1.1 | Proprietary | Open |
| API model ID | trinity-large-thinking | mercury-edit-2 | nvidia/nemotron-3-nano-omni-30b-a3b-reasoning |
| API providers | 6 | 1 | 8 (best) |
| Released | Apr 1, 2026 | Mar 30, 2026 | Apr 28, 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.
- Trinity Large Thinking$4.10
- Mercury Edit 2$4.00
- Nemotron 3 Nano Omni 30B A3B Reasoning$4.20
Which should you choose?
Which is better: Trinity Large Thinking, Mercury Edit 2 or Nemotron 3 Nano Omni 30B A3B Reasoning?
Nemotron 3 Nano Omni 30B A3B Reasoning is the better all-round choice, scoring 69/100 against Trinity Large Thinking (55) and Mercury Edit 2 (35). It leads on inputs & features. Trinity Large Thinking wins on 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, Trinity Large Thinking, Mercury Edit 2 or Nemotron 3 Nano Omni 30B A3B Reasoning?
Mercury Edit 2 is cheaper at $0.25 input / $0.75 output per million tokens (official Inception API price). Trinity Large Thinking costs $0.25 input / $0.80 output per million tokens (official Arcee API price); Nemotron 3 Nano Omni 30B A3B Reasoning costs $0.25 input / $0.85 output per million tokens (median across 4 API providers; free on Nvidia). At a typical mix of three input tokens to one output token, that is $0.375 per million tokens for Mercury Edit 2 versus $0.388 for Trinity Large Thinking (1× as much) and $0.40 for Nemotron 3 Nano Omni 30B A3B Reasoning (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Trinity Large Thinking has not been scored yet, Mercury Edit 2 has not been scored yet and Nemotron 3 Nano Omni 30B A3B Reasoning has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Trinity Large Thinking, Mercury Edit 2 and Nemotron 3 Nano Omni 30B A3B Reasoning yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Mercury Edit 2 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Trinity Large Thinking has the largest context window at 524,288 tokens, against 256,000 for Nemotron 3 Nano Omni 30B A3B Reasoning and 32,000 for Mercury Edit 2. Maximum output per response: Trinity Large Thinking up to 262,144, Mercury Edit 2 up to 8,192, Nemotron 3 Nano Omni 30B A3B Reasoning up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Trinity Large Thinking accepts text; Mercury Edit 2 accepts text; Nemotron 3 Nano Omni 30B A3B Reasoning accepts text, images, audio and video. Nemotron 3 Nano Omni 30B A3B Reasoning handles the widest range of inputs.
Are any of these open source?
Trinity Large Thinking and Nemotron 3 Nano Omni 30B A3B Reasoning publishes its weights (OpenMDW-1.1) and can be self-hosted; Mercury Edit 2 is proprietary.
Which is newer?
Nemotron 3 Nano Omni 30B A3B Reasoning is the newest, released Apr 28, 2026. Trinity Large Thinking came out Apr 1, 2026; Mercury Edit 2 came out Mar 30, 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.
