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Comparison · 2 models · Updated Oct 4, 2026

North Mini Code vs Trinity Large Thinking

North Mini Code comes out ahead, 71 to 55 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Cohere

    North Mini Code

    Released Jun 9, 2026

    71/100
    • ECI—
    • PriceFree / Free
    • Context256K
    Full specs Remove North Mini Code

  2. Arcee AI

    Trinity Large Thinking

    Released Apr 1, 2026Beta

    55/100
    • ECI—
    • Price$0.25 / $0.80
    • Context524K
    Full specs Remove Trinity Large Thinking

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

North Mini Code is our pick

North Mini Code is the better all-round choice, scoring 71/100 against Trinity Large Thinking (55). It leads on price and 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 priceNorth Mini CodeNorth Mini Code Free · Trinity Large Thinking $0.388 per 1M tokens (3:1 blend)
  • Longest contextTrinity Large ThinkingTrinity Large Thinking 524,288 · North Mini Code 256,000 tokens
  • Widest inputsSame inputsNorth Mini Code: Text · Trinity Large Thinking: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightNorth Mini CodeTrinity Large Thinking
Price50%10069
Inputs & features30%4535
Context window20%3649
Overall100%71/10055/100

Left out because at least one model lacks the data: capability. 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.

North Mini Code vs Trinity Large Thinking specifications side by side
SpecificationNorth Mini CodeCohereTrinity Large ThinkingArcee AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
InputFree (best)$0.25
OutputFree (best)$0.80
Cached input—$0.06
Blended (3:1)Free (best)$0.388
Long-context rateSame rateSame rate
Price sourceOfficial Cohere APIOfficial Arcee API
Limits
Context window256,000 tokens524,288 tokens (best)
Max output64,000 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYeshighYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenOpenOpenMDW-1.1
API model IDnorth-mini-code-1-0trinity-large-thinking
API providers26 (best)
ReleasedJun 9, 2026Apr 1, 2026
Knowledge cutoffSep 23, 2025—
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.

  • North Mini CodeFree
  • Trinity Large Thinking$4.10
04 — Questions

Which should you choose?

Which is better: North Mini Code or Trinity Large Thinking?

North Mini Code is the better all-round choice, scoring 71/100 against Trinity Large Thinking (55). It leads on price and 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, North Mini Code or Trinity Large Thinking?

North Mini Code is cheaper at Free input / Free output per million tokens (official Cohere API price). Trinity Large Thinking costs $0.25 input / $0.80 output per million tokens (official Arcee API price). North Mini Code is listed as free.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. North Mini Code has not been scored yet and Trinity Large Thinking has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for North Mini Code 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?

Trinity Large Thinking has the largest context window at 524,288 tokens, against 256,000 for North Mini Code. Maximum output per response: North Mini Code up to 64,000, Trinity Large Thinking up to 262,144 tokens.

Which can read images, PDFs, audio or video?

North Mini Code 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?

North Mini Code is the newest, released Jun 9, 2026. Trinity Large Thinking came out Apr 1, 2026. Knowledge cutoff: North Mini Code Sep 23, 2025.

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.

05 — Keep comparing

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