Trinity Large Thinking vs Trinity Large Preview vs Mercury Edit 2
Trinity Large Thinking comes out ahead, 40 to 34 and 0 on our weighted score.
- Our pick
Arcee AITrinity Large Thinking
40/100- ECI—
- Price$0.25 / $0.80
- Context524K
- Arcee AI
Trinity Large Preview
34/100- ECI—
- Price—
- Context524K
InceptionMercury Edit 2
0/100- ECI—
- Price$0.25 / $0.75
- Context32K
Trinity Large Thinking is our pick
Trinity Large Thinking is the better all-round choice, scoring 40/100 against Trinity Large Preview (34) and Mercury Edit 2 (0). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. 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 per 1M tokens (3:1 blend) · Trinity Large Preview unpriced
- Longest contextTrinity Large Thinking and Trinity Large PreviewTrinity Large Thinking 524,288 · Trinity Large Preview 524,288 · Mercury Edit 2 32,000 tokens
- Widest inputsSame inputsTrinity Large Thinking: Text · Trinity Large Preview: Text · Mercury Edit 2: Text
- Self-hostingTrinity Large Thinking and Trinity Large PreviewPublishes downloadable weights (OpenMDW-1.1)
| Measure | Weight | Trinity Large Thinking | Trinity Large Preview | Mercury Edit 2 |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 25 | 0 |
| Context window | 40% | 49 | 49 | 0 |
| Overall | 100% | 40/100 | 34/100 | 0/100 |
Left out because at least one model lacks the data: capability and price. 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 | Trinity Large PreviewArcee AI | Mercury Edit 2Inception |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.25 | — | $0.25 |
| Output | $0.80 | — | $0.75 (best) |
| Cached input | $0.06 | — | $0.025 (best) |
| Blended (3:1) | $0.388 | — | $0.375 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Official Arcee API | — | Official Inception API |
| Limits | |||
| Context window | 524,288 tokens (best) | 524,288 tokens (best) | 32,000 tokens |
| Max output | 262,144 tokens (best) | 262,144 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenOpenMDW-1.1 | OpenOpenMDW-1.1 | Proprietary |
| API model ID | trinity-large-thinking | — | mercury-edit-2 |
| API providers | 6 (best) | 1 | 1 |
| Released | Apr 1, 2026 | Jan 27, 2026 | Mar 30, 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
- Trinity Large Preview—
- Mercury Edit 2$4.00
Which should you choose?
Which is better: Trinity Large Thinking, Trinity Large Preview or Mercury Edit 2?
Trinity Large Thinking is the better all-round choice, scoring 40/100 against Trinity Large Preview (34) and Mercury Edit 2 (0). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Trinity Large Thinking, Trinity Large Preview or Mercury Edit 2?
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). 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). Trinity Large Preview has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Trinity Large Thinking has not been scored yet, Trinity Large Preview has not been scored yet and Mercury Edit 2 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Trinity Large Thinking, Trinity Large Preview and Mercury Edit 2 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 and Trinity Large Preview have the largest context windows (524,288 and 524,288 tokens), against 32,000 for Mercury Edit 2. Maximum output per response: Trinity Large Thinking up to 262,144, Trinity Large Preview up to 262,144, Mercury Edit 2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Trinity Large Thinking accepts text; Trinity Large Preview accepts text; Mercury Edit 2 accepts text. They handle the same number of input types.
Are any of these open source?
Trinity Large Thinking and Trinity Large Preview publishes its weights (OpenMDW-1.1) and can be self-hosted; Mercury Edit 2 is proprietary.
Which is newer?
Trinity Large Thinking is the newest, released Apr 1, 2026. Mercury Edit 2 came out Mar 30, 2026; Trinity Large Preview came out Jan 27, 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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