ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Kimi K2.5 vs Qwen3.6 Plus vs GPT-5.4 mini

Too close to call on our weighted score (Qwen3.6 Plus 66, Kimi K2.5 65, GPT-5.4 mini 63). The right pick depends on what you value most.

  1. Moonshot AI

    Kimi K2.5

    Released Jan 27, 2026

    65/100
    • ECI148.0
    • Price$0.60 / $3.00
    • Context262K
  2. Alibaba (Qwen)

    Qwen3.6 Plus

    Released Apr 2, 2026

    66/100
    • ECI147.6
    • Price$0.50 / $3.00
    • Context1M
  3. OpenAI

    GPT-5.4 mini

    Released Mar 17, 2026

    63/100
    • ECI148.8
    • Price$0.75 / $4.50
    • Context400K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Qwen3.6 Plus 66/100, Kimi K2.5 65/100, GPT-5.4 mini 63/100), so choose by what matters most for your work: GPT-5.4 mini for raw capability, Qwen3.6 Plus on price and Qwen3.6 Plus for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.4 miniCapabilities Index (ECI): GPT-5.4 mini 148.8 · Kimi K2.5 148.0 · Qwen3.6 Plus 147.6
  • Lowest priceQwen3.6 PlusQwen3.6 Plus $1.13 · Kimi K2.5 $1.20 · GPT-5.4 mini $1.69 per 1M tokens (3:1 blend)
  • Longest contextQwen3.6 PlusQwen3.6 Plus 1,000,000 · GPT-5.4 mini 400,000 · Kimi K2.5 262,144 tokens
  • Widest inputsKimi K2.5 and Qwen3.6 PlusKimi K2.5: Text, Images, Video · Qwen3.6 Plus: Text, Images, Video · GPT-5.4 mini: Text, Images
  • Self-hostingKimi K2.5Publishes downloadable weights
How the score is built
MeasureWeightKimi K2.5Qwen3.6 PlusGPT-5.4 mini
CapabilityCapabilities Index (ECI)50%767577
Price25%464739
Inputs & features15%807070
Context window10%376044
Overall100%65/10066/10063/100
02 — Side by side

Every spec in one table

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

Kimi K2.5 vs Qwen3.6 Plus vs GPT-5.4 mini specifications side by side
SpecificationKimi K2.5Moonshot AIQwen3.6 PlusAlibaba (Qwen)GPT-5.4 miniOpenAI
Capability
Capabilities Index (ECI)148.0147.6148.8 (best)
ECI rank#58 of 148#59 of 148#56 of 148 (best)
GPQA DiamondGraduate-level science questions87.6%88.4% (best)86.9%
FrontierMath Tiers 1–3Research-level mathematics—38.3%51.2% (best)
OTIS Mock AIME 2024–2025Competition mathematics92.2%93.3% (best)88.9%
SWE-bench VerifiedFixing real GitHub issues73.8% (best)57.9%—
SimpleQA VerifiedShort factual questions34.3%44.1% (best)29.4%
Price per million tokens
Input$0.60$0.50 (best)$0.75
Output$3.00 (best)$3.00 (best)$4.50
Cached input—$0.05 (best)$0.075
Blended (3:1)$1.20$1.13 (best)$1.69
Long-context rateSame rateOver 256K: $2.00 / $6.00Same rate
Price sourceMedian of 21 providersOfficial Alibaba APIOfficial OpenAI API
Limits
Context window262,144 tokens1,000,000 tokens (best)400,000 tokens
Max output262,144 tokens (best)65,536 tokens128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoYesYesNo
ReasoningYesYesYeslow · medium · high · xhigh
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsOpenProprietaryProprietary
API model ID—qwen3.6-plusgpt-5.4-mini
API providers211829 (best)
ReleasedJan 27, 2026Apr 2, 2026Mar 17, 2026
Knowledge cutoffJan 2025Apr 2025Aug 31, 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.

  • Kimi K2.5$12.00
  • Qwen3.6 Plus$11.00
  • GPT-5.4 mini$16.50
04 — Questions

Which should you choose?

Which is better: Kimi K2.5, Qwen3.6 Plus or GPT-5.4 mini?

It is close. Our weighted score puts them within a point (Qwen3.6 Plus 66/100, Kimi K2.5 65/100, GPT-5.4 mini 63/100), so choose by what matters most for your work: GPT-5.4 mini for raw capability, Qwen3.6 Plus on price and Qwen3.6 Plus for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Kimi K2.5, Qwen3.6 Plus or GPT-5.4 mini?

Qwen3.6 Plus is cheaper at $0.50 input / $3.00 output per million tokens (official Alibaba API price). Kimi K2.5 costs $0.60 input / $3.00 output per million tokens (median across 21 API providers); GPT-5.4 mini costs $0.75 input / $4.50 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $1.13 per million tokens for Qwen3.6 Plus versus $1.20 for Kimi K2.5 (1.1× as much) and $1.69 for GPT-5.4 mini (1.5× as much).

Which scores higher on benchmarks?

GPT-5.4 mini scores higher on the Capabilities Index (ECI): GPT-5.4 mini 148.8 (#56 of 148), Kimi K2.5 148.0 (#58 of 148) and Qwen3.6 Plus 147.6 (#59 of 148). The confidence ranges of the top two overlap (147.1–150.5 vs 146.5–149.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.6 Plus 88.4%, Kimi K2.5 87.6%, GPT-5.4 mini 86.9%; OTIS Mock AIME 2024–2025 — Qwen3.6 Plus 93.3%, Kimi K2.5 92.2%, GPT-5.4 mini 88.9%; SimpleQA Verified — Qwen3.6 Plus 44.1%, Kimi K2.5 34.3%, GPT-5.4 mini 29.4%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.4 mini yet, so there is no like-for-like coding score. On overall capability, GPT-5.4 mini leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Qwen3.6 Plus has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.4 mini and 262,144 for Kimi K2.5. Maximum output per response: Kimi K2.5 up to 262,144, Qwen3.6 Plus up to 65,536, GPT-5.4 mini up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Kimi K2.5 accepts text, images and video; Qwen3.6 Plus accepts text, images and video; GPT-5.4 mini accepts text and images. Kimi K2.5 handles the widest range of inputs.

Are any of these open source?

Kimi K2.5 publishes its weights and can be self-hosted; Qwen3.6 Plus and GPT-5.4 mini is proprietary.

Which is newer?

Qwen3.6 Plus is the newest, released Apr 2, 2026. GPT-5.4 mini came out Mar 17, 2026; Kimi K2.5 came out Jan 27, 2026. Knowledge cutoff: Kimi K2.5 Jan 2025, Qwen3.6 Plus Apr 2025, GPT-5.4 mini Aug 31, 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.