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Comparison · 2 models · Updated Oct 4, 2026

Qwen3 Coder Next vs Trinity Large Thinking

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

  1. Alibaba (Qwen)

    Qwen3 Coder Next

    Released Feb 3, 2026

    51/100
    • ECI—
    • Price$0.20 / $1.20
    • Context262K
    Full specs Remove Qwen3 Coder Next
  2. 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

  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 inputsQwen3 Coder Next: 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
MeasureWeightQwen3 Coder NextTrinity Large Thinking
Price50%6669
Inputs & features30%3535
Context window20%3749
Overall100%51/10055/100

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.

Qwen3 Coder Next vs Trinity Large Thinking specifications side by side
SpecificationQwen3 Coder NextAlibaba (Qwen)Trinity Large ThinkingArcee AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.20 (best)$0.25
Output$1.20$0.80 (best)
Cached input—$0.06
Blended (3:1)$0.45$0.388 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 11 providersOfficial Arcee API
Limits
Context window262,144 tokens524,288 tokens (best)
Max output65,536 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenOpenOpenMDW-1.1
API model ID—trinity-large-thinking
API providers11 (best)6
ReleasedFeb 3, 2026Apr 1, 2026
Knowledge cutoffSep 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.

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

Which should you choose?

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

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, Qwen3 Coder Next or Trinity Large Thinking?

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. Qwen3 Coder Next 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 Qwen3 Coder Next 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 262,144 for Qwen3 Coder Next. Maximum output per response: Qwen3 Coder Next up to 65,536, Trinity Large Thinking up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Qwen3 Coder Next 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?

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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