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Comparison · 2 models · Updated Oct 4, 2026

Trinity Large Thinking vs Qwen3 Coder Next

Trinity Large Thinking comes out ahead, 55 to 51 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Arcee AI

    Trinity Large Thinking

    Released Apr 1, 2026Beta

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

  2. Alibaba (Qwen)

    Qwen3 Coder Next

    Released Feb 3, 2026

    51/100
    • ECI—
    • Price$0.20 / $1.20
    • Context262K
    Full specs Remove Qwen3 Coder Next

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Trinity Large Thinking is our pick

Trinity Large Thinking is the better all-round choice, scoring 55/100 against Qwen3 Coder Next (51). It leads on price 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 · Qwen3 Coder Next $0.45 per 1M tokens (3:1 blend)
  • Longest contextTrinity Large ThinkingTrinity Large Thinking 524,288 · Qwen3 Coder Next 262,144 tokens
  • Widest inputsSame inputsTrinity Large Thinking: Text · Qwen3 Coder Next: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightTrinity Large ThinkingQwen3 Coder Next
Price50%6966
Inputs & features30%3535
Context window20%4937
Overall100%55/10051/100

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.

Trinity Large Thinking vs Qwen3 Coder Next specifications side by side
SpecificationTrinity Large ThinkingArcee AIQwen3 Coder NextAlibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.25$0.20 (best)
Output$0.80 (best)$1.20
Cached input$0.06—
Blended (3:1)$0.388 (best)$0.45
Long-context rateSame rateSame rate
Price sourceOfficial Arcee APIMedian of 11 providers
Limits
Context window524,288 tokens (best)262,144 tokens
Max output262,144 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenOpenMDW-1.1Open
API model IDtrinity-large-thinking—
API providers611 (best)
ReleasedApr 1, 2026Feb 3, 2026
Knowledge cutoff—Sep 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.

  • Trinity Large Thinking$4.10
  • Qwen3 Coder Next$4.40
04 — Questions

Which should you choose?

Which is better: Trinity Large Thinking or Qwen3 Coder Next?

Trinity Large Thinking is the better all-round choice, scoring 55/100 against Qwen3 Coder Next (51). It leads on price 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, Trinity Large Thinking or Qwen3 Coder Next?

Trinity Large Thinking is cheaper at $0.25 input / $0.80 output per million tokens (official Arcee API price). Qwen3 Coder Next costs $0.20 input / $1.20 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $0.388 per million tokens for Trinity Large Thinking versus $0.45 for Qwen3 Coder Next (1.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Trinity Large Thinking has not been scored yet and Qwen3 Coder Next has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Trinity Large Thinking and Qwen3 Coder Next 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 262,144 for Qwen3 Coder Next. Maximum output per response: Trinity Large Thinking up to 262,144, Qwen3 Coder Next up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Trinity Large Thinking accepts text; Qwen3 Coder Next 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?

Trinity Large Thinking is the newest, released Apr 1, 2026. Qwen3 Coder Next came out Feb 3, 2026. Knowledge cutoff: Qwen3 Coder Next Sep 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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