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Comparison · 3 models · Updated Oct 4, 2026

Qwen3.5 Flash vs MiniMax-M2.7 vs Gemma 4 31B IT

Qwen3.5 Flash comes out ahead, 75 to 69 and 61 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Alibaba (Qwen)

    Qwen3.5 Flash

    Released Feb 23, 2026

    75/100
    • ECI144.0
    • Price$0.10 / $0.40
    • Context1M
    Full specs Remove Qwen3.5 Flash

  2. MiniMax

    MiniMax-M2.7

    Released Mar 18, 2026

    61/100
    • ECI145.9
    • Price$0.30 / $1.20
    • Context205K
    Full specs Remove MiniMax-M2.7

  3. Google

    Gemma 4 31B IT

    Released Apr 2, 2026

    69/100
    • ECI142.8
    • Price$0.14 / $0.40
    • Context262K
    Full specs Remove Gemma 4 31B IT
01 — Verdict

Qwen3.5 Flash is our pick

Qwen3.5 Flash is the better all-round choice, scoring 75/100 against Gemma 4 31B IT (69) and MiniMax-M2.7 (61). It leads on price, inputs & features and context window. MiniMax-M2.7 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMiniMax-M2.7Capabilities Index (ECI): MiniMax-M2.7 145.9 · Qwen3.5 Flash 144.0 · Gemma 4 31B IT 142.8
  • Lowest priceQwen3.5 FlashQwen3.5 Flash $0.175 · Gemma 4 31B IT $0.205 · MiniMax-M2.7 $0.525 per 1M tokens (3:1 blend)
  • Longest contextQwen3.5 FlashQwen3.5 Flash 1,000,000 · Gemma 4 31B IT 262,144 · MiniMax-M2.7 204,800 tokens
  • Widest inputsQwen3.5 FlashQwen3.5 Flash: Text, Images, Video · MiniMax-M2.7: Text · Gemma 4 31B IT: Text, Images
  • Self-hostingMiniMax-M2.7 and Gemma 4 31B ITPublishes downloadable weights
How the score is built
MeasureWeightQwen3.5 FlashMiniMax-M2.7Gemma 4 31B IT
CapabilityCapabilities Index (ECI)50%717369
Price25%866383
Inputs & features15%803570
Context window10%603237
Overall100%75/10061/10069/100
02 — Side by side

Every spec in one table

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

Qwen3.5 Flash vs MiniMax-M2.7 vs Gemma 4 31B IT specifications side by side
SpecificationQwen3.5 FlashAlibaba (Qwen)MiniMax-M2.7MiniMaxGemma 4 31B ITGoogle
Capability
Capabilities Index (ECI)144.0145.9 (best)142.8
ECI rank#82 of 148#73 of 148 (best)#86 of 148
GPQA DiamondGraduate-level science questions82.3% (best)—75.8%
FrontierMath Tiers 1–3Research-level mathematics18.3%——
OTIS Mock AIME 2024–2025Competition mathematics84.4% (best)—73.3%
SimpleQA VerifiedShort factual questions20.3% (best)—10.4%
Price per million tokens
Input$0.10 (best)$0.30$0.14
Output$0.40 (best)$1.20$0.40 (best)
Cached input$0.01 (best)$0.06—
Blended (3:1)$0.175 (best)$0.525$0.205
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial MiniMax (minimax.io) APIMedian of 30 providers
Limits
Context window1,000,000 tokens (best)204,800 tokens262,144 tokens
Max output65,536 tokens131,072 tokens (best)32,768 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioNoNoNo
VideoYesNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenOpen
API model IDqwen3.5-flashMiniMax-M2.7gemma-4-31b-it
API providers82938 (best)
ReleasedFeb 23, 2026Mar 18, 2026Apr 2, 2026
Knowledge cutoff———
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.

  • Qwen3.5 Flash$1.80
  • MiniMax-M2.7$5.40
  • Gemma 4 31B IT$2.20
04 — Questions

Which should you choose?

Which is better: Qwen3.5 Flash, MiniMax-M2.7 or Gemma 4 31B IT?

Qwen3.5 Flash is the better all-round choice, scoring 75/100 against Gemma 4 31B IT (69) and MiniMax-M2.7 (61). It leads on price, inputs & features and context window. MiniMax-M2.7 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.5 Flash, MiniMax-M2.7 or Gemma 4 31B IT?

Qwen3.5 Flash is cheaper at $0.10 input / $0.40 output per million tokens (official Alibaba API price). Gemma 4 31B IT costs $0.14 input / $0.40 output per million tokens (median across 30 API providers); MiniMax-M2.7 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Qwen3.5 Flash versus $0.205 for Gemma 4 31B IT (1.2× as much) and $0.525 for MiniMax-M2.7 (3× as much).

Which scores higher on benchmarks?

MiniMax-M2.7 scores higher on the Capabilities Index (ECI): MiniMax-M2.7 145.9 (#73 of 148), Qwen3.5 Flash 144.0 (#82 of 148) and Gemma 4 31B IT 142.8 (#86 of 148). The confidence ranges of the top two overlap (138.2–148.0 vs 141.6–145.5), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.5 Flash, MiniMax-M2.7 and Gemma 4 31B IT yet, so there is no like-for-like coding score. On overall capability, MiniMax-M2.7 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?

Qwen3.5 Flash has the largest context window at 1,000,000 tokens, against 262,144 for Gemma 4 31B IT and 204,800 for MiniMax-M2.7. Maximum output per response: Qwen3.5 Flash up to 65,536, MiniMax-M2.7 up to 131,072, Gemma 4 31B IT up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Qwen3.5 Flash accepts text, images and video; MiniMax-M2.7 accepts text; Gemma 4 31B IT accepts text and images. Qwen3.5 Flash handles the widest range of inputs.

Are any of these open source?

MiniMax-M2.7 and Gemma 4 31B IT publishes its weights and can be self-hosted; Qwen3.5 Flash is proprietary.

Which is newer?

Gemma 4 31B IT is the newest, released Apr 2, 2026. MiniMax-M2.7 came out Mar 18, 2026; Qwen3.5 Flash came out Feb 23, 2026.

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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