ZMIME
Comparison · 3 models · Updated Oct 4, 2026

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

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. 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

  2. MiniMax

    MiniMax-M3

    Released Jun 1, 2026

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

  3. 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
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 inputsMiniMax-M3 and Qwen3.7 PlusGPT-5.4 nano: Text, Images · MiniMax-M3: Text, Images, Video · Qwen3.7 Plus: Text, Images, Video
  • Self-hostingMiniMax-M3Publishes downloadable weights
How the score is built
MeasureWeightGPT-5.4 nanoMiniMax-M3Qwen3.7 Plus
CapabilityCapabilities Index (ECI)50%737475
Price25%666357
Inputs & features15%707080
Context window10%446160
Overall100%68/10069/10070/100
02 — Side by side

Every spec in one table

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

GPT-5.4 nano vs MiniMax-M3 vs Qwen3.7 Plus specifications side by side
SpecificationGPT-5.4 nanoOpenAIMiniMax-M3MiniMaxQwen3.7 PlusAlibaba (Qwen)
Capability
Capabilities Index (ECI)145.8147.0147.4 (best)
ECI rank#75 of 148#62 of 148#61 of 148 (best)
GPQA DiamondGraduate-level science questions78.5%90.9% (best)87.9%
FrontierMath Tiers 1–3Research-level mathematics44.9% (best)—34.4%
OTIS Mock AIME 2024–2025Competition mathematics87.8%71.1%93.3% (best)
SimpleQA VerifiedShort factual questions11.7%——
Price per million tokens
Input$0.20 (best)$0.30$0.40
Output$1.25$1.20 (best)$1.60
Cached input$0.02 (best)$0.06$0.04
Blended (3:1)$0.463 (best)$0.525$0.70
Long-context rateSame rateOver 512K: $0.60 / $2.40Over 256K: $1.20 / $4.80
Price sourceOfficial OpenAI APIOfficial MiniMax (minimax.io) APIOfficial Alibaba API
Limits
Context window400,000 tokens1,048,576 tokens (best)1,000,000 tokens
Max output128,000 tokens512,000 tokens (best)64,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoYesYes
ReasoningYeslow · medium · high · xhighYesYes
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenProprietary
API model IDgpt-5.4-nanoMiniMax-M3qwen3.7-plus
API providers2642 (best)25
ReleasedMar 17, 2026Jun 1, 2026Jun 2, 2026
Knowledge cutoffAug 31, 2025—Apr 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 nano$4.50
  • MiniMax-M3$5.40
  • Qwen3.7 Plus$7.20
04 — Questions

Which should you choose?

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

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

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 GPT-5.4 nano, MiniMax-M3 and Qwen3.7 Plus 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: GPT-5.4 nano up to 128,000, MiniMax-M3 up to 512,000, Qwen3.7 Plus up to 64,000 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

MiniMax-M3 publishes its weights and can be self-hosted; GPT-5.4 nano and Qwen3.7 Plus 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: GPT-5.4 nano Aug 31, 2025, Qwen3.7 Plus Apr 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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