ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Kimi K2 Instruct vs Qwen3 VL Flash (Alibaba Cloud) vs Trinity Mini

Qwen3 VL Flash (Alibaba Cloud) comes out ahead, 72 to 65 and 36 on our weighted score, and it is the cheaper option too.

  1. Moonshot AI

    Kimi K2 Instruct

    Released Jul 11, 2025

    36/100
    • ECI139.9
    • Price$0.57 / $2.30
    • Context131K
    Full specs Remove Kimi K2 Instruct
  2. Our pick

    Alibaba (Qwen)

    Qwen3 VL Flash (Alibaba Cloud)

    Released Oct 15, 2025

    72/100
    • ECI—
    • Price$0.022 / $0.215
    • Context262K
    Full specs Remove Qwen3 VL Flash (Alibaba Cloud)

  3. Arcee AI

    Trinity Mini

    Released Dec 1, 2025

    65/100
    • ECI—
    • Price$0.045 / $0.15
    • Context131K
    Full specs Remove Trinity Mini
01 — Verdict

Qwen3 VL Flash (Alibaba Cloud) is our pick

Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Trinity Mini (65) and Kimi K2 Instruct (36). It leads on inputs & features 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 priceQwen3 VL Flash (Alibaba Cloud)Qwen3 VL Flash (Alibaba Cloud) $0.07 · Trinity Mini $0.071 · Kimi K2 Instruct $1.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3 VL Flash (Alibaba Cloud)Qwen3 VL Flash (Alibaba Cloud) 262,144 · Kimi K2 Instruct 131,072 · Trinity Mini 131,072 tokens
  • Widest inputsQwen3 VL Flash (Alibaba Cloud)Kimi K2 Instruct: Text · Qwen3 VL Flash (Alibaba Cloud): Text, Images · Trinity Mini: Text
  • Self-hostingKimi K2 Instruct and Trinity MiniPublishes downloadable weights (Modified MIT and OpenMDW-1.1)
How the score is built
MeasureWeightKimi K2 InstructQwen3 VL Flash (Alibaba Cloud)Trinity Mini
Price50%48100100
Inputs & features30%255035
Context window20%253725
Overall100%36/10072/10065/100

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.

Kimi K2 Instruct vs Qwen3 VL Flash (Alibaba Cloud) vs Trinity Mini specifications side by side
SpecificationKimi K2 InstructMoonshot AIQwen3 VL Flash (Alibaba Cloud)Alibaba (Qwen)Trinity MiniArcee AI
Capability
Capabilities Index (ECI)139.9——
ECI rank#112 of 165——
Price per million tokens
Input$0.57$0.022 (best)$0.045
Output$2.30$0.215$0.15 (best)
Cached input———
Blended (3:1)$1.00$0.07 (best)$0.071
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 11 providersMedian of 1 providersMedian of 1 providers
Limits
Context window131,072 tokens262,144 tokens (best)131,072 tokens
Max output32,768 tokens32,768 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenModified MITProprietaryOpenOpenMDW-1.1
API model ID———
API providers11 (best)11
ReleasedJul 11, 2025Oct 15, 2025Dec 1, 2025
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.

  • Kimi K2 Instruct$10.30
  • Qwen3 VL Flash (Alibaba Cloud)$0.65
  • Trinity Mini$0.75
04 — Questions

Which should you choose?

Which is better: Kimi K2 Instruct, Qwen3 VL Flash (Alibaba Cloud) or Trinity Mini?

Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Trinity Mini (65) and Kimi K2 Instruct (36). It leads on inputs & features 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, Kimi K2 Instruct, Qwen3 VL Flash (Alibaba Cloud) or Trinity Mini?

Qwen3 VL Flash (Alibaba Cloud) is cheaper at $0.022 input / $0.215 output per million tokens (median across 1 API provider). Trinity Mini costs $0.045 input / $0.15 output per million tokens (median across 1 API provider); Kimi K2 Instruct costs $0.57 input / $2.30 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $0.07 per million tokens for Qwen3 VL Flash (Alibaba Cloud) versus $0.071 for Trinity Mini (1× as much) and $1.00 for Kimi K2 Instruct (14× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Kimi K2 Instruct has an ECI of 139.9, Qwen3 VL Flash (Alibaba Cloud) has not been scored yet and Trinity Mini has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Kimi K2 Instruct, Qwen3 VL Flash (Alibaba Cloud) and Trinity Mini yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

Qwen3 VL Flash (Alibaba Cloud) has the largest context window at 262,144 tokens, against 131,072 for Kimi K2 Instruct and 131,072 for Trinity Mini. Maximum output per response: Kimi K2 Instruct up to 32,768, Qwen3 VL Flash (Alibaba Cloud) up to 32,768, Trinity Mini up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Kimi K2 Instruct accepts text; Qwen3 VL Flash (Alibaba Cloud) accepts text and images; Trinity Mini accepts text. Qwen3 VL Flash (Alibaba Cloud) handles the widest range of inputs.

Are any of these open source?

Kimi K2 Instruct and Trinity Mini publishes its weights (Modified MIT and OpenMDW-1.1) and can be self-hosted; Qwen3 VL Flash (Alibaba Cloud) is proprietary.

Which is newer?

Trinity Mini is the newest, released Dec 1, 2025. Qwen3 VL Flash (Alibaba Cloud) came out Oct 15, 2025; Kimi K2 Instruct came out Jul 11, 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 Nov 2, 2026.

05 — Keep comparing

Related comparisons