ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.4 mini vs Qwen3.6 27B vs Grok 4.3

Too close to call on our weighted score (Grok 4.3 67, Qwen3.6 27B 65, GPT-5.4 mini 63). The right pick depends on what you value most.

  1. OpenAI

    GPT-5.4 mini

    Released Mar 17, 2026

    63/100
    • ECI148.8
    • Price$0.75 / $4.50
    • Context400K
    Full specs Remove GPT-5.4 mini

  2. Alibaba (Qwen)

    Qwen3.6 27B

    Released Apr 22, 2026

    65/100
    • ECI146.5
    • Price$0.60 / $3.60
    • Context262K
    Full specs Remove Qwen3.6 27B

  3. xAI

    Grok 4.3

    Released Apr 17, 2026

    67/100
    • ECI149.2
    • Price$1.25 / $2.50
    • Context1M
    Full specs Remove Grok 4.3
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Grok 4.3 67/100, Qwen3.6 27B 65/100, GPT-5.4 mini 63/100), so choose by what matters most for your work: Grok 4.3 for raw capability and Qwen3.6 27B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGrok 4.3Capabilities Index (ECI): Grok 4.3 149.2 · GPT-5.4 mini 148.8 · Qwen3.6 27B 146.5
  • Lowest priceQwen3.6 27BQwen3.6 27B $1.35 · Grok 4.3 $1.56 · GPT-5.4 mini $1.69 per 1M tokens (3:1 blend)
  • Longest contextGrok 4.3Grok 4.3 1,000,000 · GPT-5.4 mini 400,000 · Qwen3.6 27B 262,144 tokens
  • Widest inputsQwen3.6 27BGPT-5.4 mini: Text, Images · Qwen3.6 27B: Text, Images, Audio, Video · Grok 4.3: Text, Images, PDFs
  • Self-hostingQwen3.6 27BPublishes downloadable weights
How the score is built
MeasureWeightGPT-5.4 miniQwen3.6 27BGrok 4.3
CapabilityCapabilities Index (ECI)50%777477
Price25%394441
Inputs & features15%709080
Context window10%443760
Overall100%63/10065/10067/100
02 — Side by side

Every spec in one table

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

GPT-5.4 mini vs Qwen3.6 27B vs Grok 4.3 specifications side by side
SpecificationGPT-5.4 miniOpenAIQwen3.6 27BAlibaba (Qwen)Grok 4.3xAI
Capability
Capabilities Index (ECI)148.8146.5149.2 (best)
ECI rank#56 of 148#68 of 148#55 of 148 (best)
GPQA DiamondGraduate-level science questions86.9%85.9%88.8% (best)
FrontierMath Tiers 1–3Research-level mathematics51.2% (best)35.1%42.8%
OTIS Mock AIME 2024–2025Competition mathematics88.9%91.1%93.3% (best)
SimpleQA VerifiedShort factual questions29.4%—33.2% (best)
Price per million tokens
Input$0.75$0.60 (best)$1.25
Output$4.50$3.60$2.50 (best)
Cached input$0.075 (best)—$0.20
Blended (3:1)$1.69$1.35 (best)$1.56
Long-context rateSame rateSame rateOver 200K: $2.50 / $5.00
Price sourceOfficial OpenAI APIOfficial Alibaba APIOfficial xAI API
Limits
Context window400,000 tokens262,144 tokens1,000,000 tokens (best)
Max output128,000 tokens (best)65,536 tokens30,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoYes
AudioNoYesNo
VideoNoYesNo
ReasoningYeslow · medium · high · xhighYesYeslow · medium · high
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenProprietary
API model IDgpt-5.4-miniqwen3.6-27bgrok-4.3
API providers29 (best)2727
ReleasedMar 17, 2026Apr 22, 2026Apr 17, 2026
Knowledge cutoffAug 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.

  • GPT-5.4 mini$16.50
  • Qwen3.6 27B$13.20
  • Grok 4.3$17.50
04 — Questions

Which should you choose?

Which is better: GPT-5.4 mini, Qwen3.6 27B or Grok 4.3?

It is close. Our weighted score puts them within 2 points (Grok 4.3 67/100, Qwen3.6 27B 65/100, GPT-5.4 mini 63/100), so choose by what matters most for your work: Grok 4.3 for raw capability and Qwen3.6 27B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.4 mini, Qwen3.6 27B or Grok 4.3?

Qwen3.6 27B is cheaper at $0.60 input / $3.60 output per million tokens (official Alibaba API price). Grok 4.3 costs $1.25 input / $2.50 output per million tokens (official xAI API price); 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 $1.35 per million tokens for Qwen3.6 27B versus $1.56 for Grok 4.3 (1.2× as much) and $1.69 for GPT-5.4 mini (1.3× as much).

Which scores higher on benchmarks?

Grok 4.3 scores higher on the Capabilities Index (ECI): Grok 4.3 149.2 (#55 of 148), GPT-5.4 mini 148.8 (#56 of 148) and Qwen3.6 27B 146.5 (#68 of 148). The confidence ranges of the top two overlap (147.6–150.8 vs 147.1–150.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Grok 4.3 88.8%, GPT-5.4 mini 86.9%, Qwen3.6 27B 85.9%; FrontierMath Tiers 1–3 — GPT-5.4 mini 51.2%, Grok 4.3 42.8%, Qwen3.6 27B 35.1%; OTIS Mock AIME 2024–2025 — Grok 4.3 93.3%, Qwen3.6 27B 91.1%, GPT-5.4 mini 88.9%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.4 mini, Qwen3.6 27B and Grok 4.3 yet, so there is no like-for-like coding score. On overall capability, Grok 4.3 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?

Grok 4.3 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.4 mini and 262,144 for Qwen3.6 27B. Maximum output per response: GPT-5.4 mini up to 128,000, Qwen3.6 27B up to 65,536, Grok 4.3 up to 30,000 tokens.

Which can read images, PDFs, audio or video?

GPT-5.4 mini accepts text and images; Qwen3.6 27B accepts text, images, audio and video; Grok 4.3 accepts text, images and PDFs. Qwen3.6 27B handles the widest range of inputs.

Are any of these open source?

Qwen3.6 27B publishes its weights and can be self-hosted; GPT-5.4 mini and Grok 4.3 is proprietary.

Which is newer?

Qwen3.6 27B is the newest, released Apr 22, 2026. Grok 4.3 came out Apr 17, 2026; GPT-5.4 mini came out Mar 17, 2026. Knowledge cutoff: 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.

05 — Keep comparing

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