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Comparison · 3 models · Updated Oct 4, 2026

Trinity Large Preview vs Trinity Large Thinking vs DeepSeek OCR 2

Trinity Large Thinking comes out ahead, 40 to 34 and 15 on our weighted score, and it is the cheaper option too.

  1. Arcee AI

    Trinity Large Preview

    Released Jan 27, 2026

    34/100
    • ECI—
    • Price—
    • Context524K
  2. Our pick

    Arcee AI

    Trinity Large Thinking

    Released Apr 1, 2026Beta

    40/100
    • ECI—
    • Price$0.25 / $0.80
    • Context524K
  3. DeepSeek

    DeepSeek OCR 2

    Released Jan 27, 2026

    15/100
    • ECI—
    • Price$0.89 / $1.47
    • Context8K
01 — Verdict

Trinity Large Thinking is our pick

Trinity Large Thinking is the better all-round choice, scoring 40/100 against Trinity Large Preview (34) and DeepSeek OCR 2 (15). 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 priceTrinity Large ThinkingTrinity Large Thinking $0.388 · DeepSeek OCR 2 $1.03 per 1M tokens (3:1 blend) · Trinity Large Preview unpriced
  • Longest contextTrinity Large Preview and Trinity Large ThinkingTrinity Large Preview 524,288 · Trinity Large Thinking 524,288 · DeepSeek OCR 2 8,192 tokens
  • Widest inputsDeepSeek OCR 2Trinity Large Preview: Text · Trinity Large Thinking: Text · DeepSeek OCR 2: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightTrinity Large PreviewTrinity Large ThinkingDeepSeek OCR 2
Inputs & features60%253525
Context window40%49490
Overall100%34/10040/10015/100

Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Trinity Large Preview vs Trinity Large Thinking vs DeepSeek OCR 2 specifications side by side
SpecificationTrinity Large PreviewArcee AITrinity Large ThinkingArcee AIDeepSeek OCR 2DeepSeek
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input—$0.25 (best)$0.89
Output—$0.80 (best)$1.47
Cached input—$0.06—
Blended (3:1)—$0.388 (best)$1.03
Long-context rate—Same rateSame rate
Price source—Official Arcee APIMedian of 1 providers
Limits
Context window524,288 tokens (best)524,288 tokens (best)8,192 tokens
Max output262,144 tokens (best)262,144 tokens (best)8,192 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesNo
Tool callingYesYesNo
Structured outputNoNoNo
Availability
WeightsOpenOpenMDW-1.1OpenOpenMDW-1.1Open
API model ID—trinity-large-thinking—
API providers16 (best)2
ReleasedJan 27, 2026Apr 1, 2026Jan 27, 2026
Knowledge cutoff———
03 — Cost

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 Preview—
  • Trinity Large Thinking$4.10
  • DeepSeek OCR 2$11.83
04 — Questions

Which should you choose?

Which is better: Trinity Large Preview, Trinity Large Thinking or DeepSeek OCR 2?

Trinity Large Thinking is the better all-round choice, scoring 40/100 against Trinity Large Preview (34) and DeepSeek OCR 2 (15). 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 Preview, Trinity Large Thinking or DeepSeek OCR 2?

Trinity Large Thinking is cheaper at $0.25 input / $0.80 output per million tokens (official Arcee API price). DeepSeek OCR 2 costs $0.89 input / $1.47 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.388 per million tokens for Trinity Large Thinking versus $1.03 for DeepSeek OCR 2 (2.7× 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 Preview has not been scored yet, Trinity Large Thinking has not been scored yet and DeepSeek OCR 2 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Trinity Large Preview, Trinity Large Thinking and DeepSeek OCR 2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that DeepSeek OCR 2 does not support tool calling, which most coding agents need.

Which has the bigger context window?

Trinity Large Preview and Trinity Large Thinking have the largest context windows (524,288 and 524,288 tokens), against 8,192 for DeepSeek OCR 2. Maximum output per response: Trinity Large Preview up to 262,144, Trinity Large Thinking up to 262,144, DeepSeek OCR 2 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Trinity Large Preview accepts text; Trinity Large Thinking accepts text; DeepSeek OCR 2 accepts text and images. DeepSeek OCR 2 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?

Trinity Large Thinking is the newest, released Apr 1, 2026. Trinity Large Preview came out Jan 27, 2026; DeepSeek OCR 2 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.