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Comparison · 3 models · Updated Oct 4, 2026

Qwen3.7 Plus vs Gemma 4 31B IT vs MiniMax-M3

Too close to call on our weighted score (Qwen3.7 Plus 70, MiniMax-M3 69, Gemma 4 31B IT 69). 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
  2. Google

    Gemma 4 31B IT

    Released Apr 2, 2026

    69/100
    • ECI142.8
    • Price$0.14 / $0.40
    • Context262K
  3. MiniMax

    MiniMax-M3

    Released Jun 1, 2026

    69/100
    • ECI147.0
    • Price$0.30 / $1.20
    • Context1.05M
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, Gemma 4 31B IT 69/100), so choose by what matters most for your work: Qwen3.7 Plus for raw capability, Gemma 4 31B IT 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 · Gemma 4 31B IT 142.8
  • Lowest priceGemma 4 31B ITGemma 4 31B IT $0.205 · 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 · Gemma 4 31B IT 262,144 tokens
  • Widest inputsQwen3.7 Plus and MiniMax-M3Qwen3.7 Plus: Text, Images, Video · Gemma 4 31B IT: Text, Images · MiniMax-M3: Text, Images, Video
  • Self-hostingGemma 4 31B IT and MiniMax-M3Publishes downloadable weights
How the score is built
MeasureWeightQwen3.7 PlusGemma 4 31B ITMiniMax-M3
CapabilityCapabilities Index (ECI)50%756974
Price25%578363
Inputs & features15%807070
Context window10%603761
Overall100%70/10069/10069/100
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 Gemma 4 31B IT vs MiniMax-M3 specifications side by side
SpecificationQwen3.7 PlusAlibaba (Qwen)Gemma 4 31B ITGoogleMiniMax-M3MiniMax
Capability
Capabilities Index (ECI)147.4 (best)142.8147.0
ECI rank#61 of 148 (best)#86 of 148#62 of 148
GPQA DiamondGraduate-level science questions87.9%75.8%90.9% (best)
FrontierMath Tiers 1–3Research-level mathematics34.4%——
OTIS Mock AIME 2024–2025Competition mathematics93.3% (best)73.3%71.1%
SimpleQA VerifiedShort factual questions—10.4%—
Price per million tokens
Input$0.40$0.14 (best)$0.30
Output$1.60$0.40 (best)$1.20
Cached input$0.04 (best)—$0.06
Blended (3:1)$0.70$0.205 (best)$0.525
Long-context rateOver 256K: $1.20 / $4.80Same rateOver 512K: $0.60 / $2.40
Price sourceOfficial Alibaba APIMedian of 30 providersOfficial MiniMax (minimax.io) API
Limits
Context window1,000,000 tokens262,144 tokens1,048,576 tokens (best)
Max output64,000 tokens32,768 tokens512,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoYesNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryOpenOpen
API model IDqwen3.7-plusgemma-4-31b-itMiniMax-M3
API providers253842 (best)
ReleasedJun 2, 2026Apr 2, 2026Jun 1, 2026
Knowledge cutoffApr 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
  • Gemma 4 31B IT$2.20
  • MiniMax-M3$5.40
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Plus, Gemma 4 31B IT or MiniMax-M3?

It is close. Our weighted score puts them within a point (Qwen3.7 Plus 70/100, MiniMax-M3 69/100, Gemma 4 31B IT 69/100), so choose by what matters most for your work: Qwen3.7 Plus for raw capability, Gemma 4 31B IT 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, Gemma 4 31B IT or MiniMax-M3?

Gemma 4 31B IT is cheaper at $0.14 input / $0.40 output per million tokens (median across 30 API providers). 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 $0.205 per million tokens for Gemma 4 31B IT versus $0.525 for MiniMax-M3 (2.6× as much) and $0.70 for Qwen3.7 Plus (3.4× 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 Gemma 4 31B IT 142.8 (#86 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%, Gemma 4 31B IT 75.8%; OTIS Mock AIME 2024–2025 — Qwen3.7 Plus 93.3%, Gemma 4 31B IT 73.3%, MiniMax-M3 71.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.7 Plus, Gemma 4 31B IT 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 262,144 for Gemma 4 31B IT. Maximum output per response: Qwen3.7 Plus up to 64,000, Gemma 4 31B IT up to 32,768, MiniMax-M3 up to 512,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Plus accepts text, images and video; Gemma 4 31B IT 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?

Gemma 4 31B IT and MiniMax-M3 publishes its weights and can be self-hosted; 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; Gemma 4 31B IT came out Apr 2, 2026. Knowledge cutoff: 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.