ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Qwen3.7 Max vs MiniMax-M3 vs Gemini 3.5 Flash

Too close to call on our weighted score (MiniMax-M3 69, Gemini 3.5 Flash 69, Qwen3.7 Max 58). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen3.7 Max

    Released May 21, 2026

    58/100
    • ECI153.7
    • Price$2.50 / $7.50
    • Context1M
  2. MiniMax

    MiniMax-M3

    Released Jun 1, 2026

    69/100
    • ECI147.0
    • Price$0.30 / $1.20
    • Context1.05M
  3. Google

    Gemini 3.5 Flash

    Released May 19, 2026

    69/100
    • ECI154.5
    • Price$1.50 / $9.00
    • Context1.05M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (MiniMax-M3 69/100, Gemini 3.5 Flash 69/100, Qwen3.7 Max 58/100), so choose by what matters most for your work: Gemini 3.5 Flash for raw capability and MiniMax-M3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 3.5 FlashCapabilities Index (ECI): Gemini 3.5 Flash 154.5 · Qwen3.7 Max 153.7 · MiniMax-M3 147.0
  • Lowest priceMiniMax-M3MiniMax-M3 $0.525 · Gemini 3.5 Flash $3.38 · Qwen3.7 Max $3.75 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M3 and Gemini 3.5 FlashMiniMax-M3 1,048,576 · Gemini 3.5 Flash 1,048,576 · Qwen3.7 Max 1,000,000 tokens
  • Widest inputsGemini 3.5 FlashQwen3.7 Max: Text · MiniMax-M3: Text, Images, Video · Gemini 3.5 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingMiniMax-M3Publishes downloadable weights
How the score is built
MeasureWeightQwen3.7 MaxMiniMax-M3Gemini 3.5 Flash
CapabilityCapabilities Index (ECI)50%837484
Price25%236325
Inputs & features15%3570100
Context window10%606161
Overall100%58/10069/10069/100
02 — Side by side

Every spec in one table

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

Qwen3.7 Max vs MiniMax-M3 vs Gemini 3.5 Flash specifications side by side
SpecificationQwen3.7 MaxAlibaba (Qwen)MiniMax-M3MiniMaxGemini 3.5 FlashGoogle
Capability
Capabilities Index (ECI)153.7147.0154.5 (best)
ECI rank#37 of 148#62 of 148#33 of 148 (best)
GPQA DiamondGraduate-level science questions90.9%90.9%92.8% (best)
FrontierMath Tiers 1–3Research-level mathematics64.6% (best)—62.8%
OTIS Mock AIME 2024–2025Competition mathematics95.6% (best)71.1%95.6% (best)
SWE-bench VerifiedFixing real GitHub issues77.3%—79.3% (best)
SimpleQA VerifiedShort factual questions55.8%—66.2% (best)
Price per million tokens
Input$2.50$0.30 (best)$1.50
Output$7.50$1.20 (best)$9.00
Cached input$0.50$0.06 (best)$0.15
Blended (3:1)$3.75$0.525 (best)$3.38
Long-context rateSame rateOver 512K: $0.60 / $2.40Same rate
Price sourceOfficial Alibaba APIOfficial MiniMax (minimax.io) APIOfficial Google API
Limits
Context window1,000,000 tokens1,048,576 tokens (best)1,048,576 tokens (best)
Max output65,536 tokens512,000 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoYes
AudioNoNoYes
VideoNoYesYes
ReasoningYesYesYesminimal · low · medium · high
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsProprietaryOpenProprietary
API model IDqwen3.7-maxMiniMax-M3gemini-3.5-flash
API providers2642 (best)32
ReleasedMay 21, 2026Jun 1, 2026May 19, 2026
Knowledge cutoff——Jan 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 Max$40.00
  • MiniMax-M3$5.40
  • Gemini 3.5 Flash$33.00
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Max, MiniMax-M3 or Gemini 3.5 Flash?

It is close. Our weighted score puts them within a point (MiniMax-M3 69/100, Gemini 3.5 Flash 69/100, Qwen3.7 Max 58/100), so choose by what matters most for your work: Gemini 3.5 Flash for raw capability and MiniMax-M3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.7 Max, MiniMax-M3 or Gemini 3.5 Flash?

MiniMax-M3 is cheaper at $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). Gemini 3.5 Flash costs $1.50 input / $9.00 output per million tokens (official Google API price); Qwen3.7 Max costs $2.50 input / $7.50 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for MiniMax-M3 versus $3.38 for Gemini 3.5 Flash (6.4× as much) and $3.75 for Qwen3.7 Max (7.1× as much).

Which scores higher on benchmarks?

Gemini 3.5 Flash scores higher on the Capabilities Index (ECI): Gemini 3.5 Flash 154.5 (#33 of 148), Qwen3.7 Max 153.7 (#37 of 148) and MiniMax-M3 147.0 (#62 of 148). The confidence ranges of the top two overlap (152.5–156.6 vs 151.9–156.0), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 3.5 Flash 92.8%, Qwen3.7 Max 90.9%, MiniMax-M3 90.9%; OTIS Mock AIME 2024–2025 — Qwen3.7 Max 95.6%, Gemini 3.5 Flash 95.6%, MiniMax-M3 71.1%.

Which is better for coding?

There are no published SWE-bench Verified results for MiniMax-M3 yet, so there is no like-for-like coding score. On overall capability, Gemini 3.5 Flash 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 and Gemini 3.5 Flash have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for Qwen3.7 Max. Maximum output per response: Qwen3.7 Max up to 65,536, MiniMax-M3 up to 512,000, Gemini 3.5 Flash up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Max accepts text; MiniMax-M3 accepts text, images and video; Gemini 3.5 Flash accepts text, images, PDFs, audio and video. Gemini 3.5 Flash handles the widest range of inputs.

Are any of these open source?

MiniMax-M3 publishes its weights and can be self-hosted; Qwen3.7 Max and Gemini 3.5 Flash is proprietary.

Which is newer?

MiniMax-M3 is the newest, released Jun 1, 2026. Qwen3.7 Max came out May 21, 2026; Gemini 3.5 Flash came out May 19, 2026. Knowledge cutoff: Gemini 3.5 Flash Jan 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.