ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Qwen3.7 Plus vs GPT-5.4 nano vs MiniMax-M3

Too close to call on our weighted score (Qwen3.7 Plus 70, MiniMax-M3 69, GPT-5.4 nano 68). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen3.7 Plus

    Released Jun 2, 2026

    70/100
    • ECI147.4
    • Price$0.40 / $1.60
    • Context1M
    Full specs Remove Qwen3.7 Plus

  2. OpenAI

    GPT-5.4 nano

    Released Mar 17, 2026

    68/100
    • ECI145.8
    • Price$0.20 / $1.25
    • Context400K
    Full specs Remove GPT-5.4 nano

  3. MiniMax

    MiniMax-M3

    Released Jun 1, 2026

    69/100
    • ECI147.0
    • Price$0.30 / $1.20
    • Context1.05M
    Full specs Remove MiniMax-M3
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Qwen3.7 Plus 70/100, MiniMax-M3 69/100, GPT-5.4 nano 68/100), so choose by what matters most for your work: Qwen3.7 Plus for raw capability, GPT-5.4 nano on price and MiniMax-M3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.7 PlusCapabilities Index (ECI): Qwen3.7 Plus 147.4 · MiniMax-M3 147.0 · GPT-5.4 nano 145.8
  • Lowest priceGPT-5.4 nanoGPT-5.4 nano $0.463 · MiniMax-M3 $0.525 · Qwen3.7 Plus $0.70 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M3MiniMax-M3 1,048,576 · Qwen3.7 Plus 1,000,000 · GPT-5.4 nano 400,000 tokens
  • Widest inputsQwen3.7 Plus and MiniMax-M3Qwen3.7 Plus: Text, Images, Video · GPT-5.4 nano: Text, Images · MiniMax-M3: Text, Images, Video
  • Self-hostingMiniMax-M3Publishes downloadable weights
How the score is built
MeasureWeightQwen3.7 PlusGPT-5.4 nanoMiniMax-M3
CapabilityCapabilities Index (ECI)50%757374
Price25%576663
Inputs & features15%807070
Context window10%604461
Overall100%70/10068/10069/100
02 — Side by side

Every spec in one table

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

Qwen3.7 Plus vs GPT-5.4 nano vs MiniMax-M3 specifications side by side
SpecificationQwen3.7 PlusAlibaba (Qwen)GPT-5.4 nanoOpenAIMiniMax-M3MiniMax
Capability
Capabilities Index (ECI)147.4 (best)145.8147.0
ECI rank#61 of 148 (best)#75 of 148#62 of 148
GPQA DiamondGraduate-level science questions87.9%78.5%90.9% (best)
FrontierMath Tiers 1–3Research-level mathematics34.4%44.9% (best)—
OTIS Mock AIME 2024–2025Competition mathematics93.3% (best)87.8%71.1%
SimpleQA VerifiedShort factual questions—11.7%—
Price per million tokens
Input$0.40$0.20 (best)$0.30
Output$1.60$1.25$1.20 (best)
Cached input$0.04$0.02 (best)$0.06
Blended (3:1)$0.70$0.463 (best)$0.525
Long-context rateOver 256K: $1.20 / $4.80Same rateOver 512K: $0.60 / $2.40
Price sourceOfficial Alibaba APIOfficial OpenAI APIOfficial MiniMax (minimax.io) API
Limits
Context window1,000,000 tokens400,000 tokens1,048,576 tokens (best)
Max output64,000 tokens128,000 tokens512,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoYesNoYes
ReasoningYesYeslow · medium · high · xhighYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryOpen
API model IDqwen3.7-plusgpt-5.4-nanoMiniMax-M3
API providers252642 (best)
ReleasedJun 2, 2026Mar 17, 2026Jun 1, 2026
Knowledge cutoffApr 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.

  • Qwen3.7 Plus$7.20
  • GPT-5.4 nano$4.50
  • MiniMax-M3$5.40
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Plus, GPT-5.4 nano or MiniMax-M3?

It is close. Our weighted score puts them within a point (Qwen3.7 Plus 70/100, MiniMax-M3 69/100, GPT-5.4 nano 68/100), so choose by what matters most for your work: Qwen3.7 Plus for raw capability, GPT-5.4 nano on price and MiniMax-M3 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.7 Plus, GPT-5.4 nano or MiniMax-M3?

GPT-5.4 nano is cheaper at $0.20 input / $1.25 output per million tokens (official OpenAI API price). MiniMax-M3 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price); Qwen3.7 Plus costs $0.40 input / $1.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.463 per million tokens for GPT-5.4 nano versus $0.525 for MiniMax-M3 (1.1× as much) and $0.70 for Qwen3.7 Plus (1.5× as much).

Which scores higher on benchmarks?

Qwen3.7 Plus scores higher on the Capabilities Index (ECI): Qwen3.7 Plus 147.4 (#61 of 148), MiniMax-M3 147.0 (#62 of 148) and GPT-5.4 nano 145.8 (#75 of 148). The confidence ranges of the top two overlap (145.7–148.9 vs 142.7–149.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — MiniMax-M3 90.9%, Qwen3.7 Plus 87.9%, GPT-5.4 nano 78.5%; OTIS Mock AIME 2024–2025 — Qwen3.7 Plus 93.3%, GPT-5.4 nano 87.8%, MiniMax-M3 71.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.7 Plus, GPT-5.4 nano and MiniMax-M3 yet, so there is no like-for-like coding score. On overall capability, Qwen3.7 Plus 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?

MiniMax-M3 has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.7 Plus and 400,000 for GPT-5.4 nano. Maximum output per response: Qwen3.7 Plus up to 64,000, GPT-5.4 nano up to 128,000, MiniMax-M3 up to 512,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Plus accepts text, images and video; GPT-5.4 nano accepts text and images; MiniMax-M3 accepts text, images and video. Qwen3.7 Plus handles the widest range of inputs.

Are any of these open source?

MiniMax-M3 publishes its weights and can be self-hosted; Qwen3.7 Plus and GPT-5.4 nano is proprietary.

Which is newer?

Qwen3.7 Plus is the newest, released Jun 2, 2026. MiniMax-M3 came out Jun 1, 2026; GPT-5.4 nano came out Mar 17, 2026. Knowledge cutoff: Qwen3.7 Plus Apr 2025, GPT-5.4 nano 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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