ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Qwen3.7 Max vs Qwen3.6 27B vs Gemini 3.5 Flash

Gemini 3.5 Flash comes out ahead, 69 to 65 and 58 on our weighted score, though Qwen3.6 27B is 2.5× cheaper per token.

  1. Alibaba (Qwen)

    Qwen3.7 Max

    Released May 21, 2026

    58/100
    • ECI153.7
    • Price$2.50 / $7.50
    • Context1M
  2. Alibaba (Qwen)

    Qwen3.6 27B

    Released Apr 22, 2026

    65/100
    • ECI146.5
    • Price$0.60 / $3.60
    • Context262K
  3. Our pick

    Google

    Gemini 3.5 Flash

    Released May 19, 2026

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

Gemini 3.5 Flash is our pick

Gemini 3.5 Flash is the better all-round choice, scoring 69/100 against Qwen3.6 27B (65) and Qwen3.7 Max (58). It leads on inputs & features. Qwen3.6 27B wins 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 · Qwen3.6 27B 146.5
  • Lowest priceQwen3.6 27BQwen3.6 27B $1.35 · Gemini 3.5 Flash $3.38 · Qwen3.7 Max $3.75 per 1M tokens (3:1 blend)
  • Longest contextGemini 3.5 FlashGemini 3.5 Flash 1,048,576 · Qwen3.7 Max 1,000,000 · Qwen3.6 27B 262,144 tokens
  • Widest inputsGemini 3.5 FlashQwen3.7 Max: Text · Qwen3.6 27B: Text, Images, Audio, Video · Gemini 3.5 Flash: Text, Images, PDFs, Audio, Video
  • Self-hostingQwen3.6 27BPublishes downloadable weights
How the score is built
MeasureWeightQwen3.7 MaxQwen3.6 27BGemini 3.5 Flash
CapabilityCapabilities Index (ECI)50%837484
Price25%234425
Inputs & features15%3590100
Context window10%603761
Overall100%58/10065/10069/100
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 Qwen3.6 27B vs Gemini 3.5 Flash specifications side by side
SpecificationQwen3.7 MaxAlibaba (Qwen)Qwen3.6 27BAlibaba (Qwen)Gemini 3.5 FlashGoogle
Capability
Capabilities Index (ECI)153.7146.5154.5 (best)
ECI rank#37 of 148#68 of 148#33 of 148 (best)
GPQA DiamondGraduate-level science questions90.9%85.9%92.8% (best)
FrontierMath Tiers 1–3Research-level mathematics64.6% (best)35.1%62.8%
OTIS Mock AIME 2024–2025Competition mathematics95.6% (best)91.1%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$0.60 (best)$1.50
Output$7.50$3.60 (best)$9.00
Cached input$0.50—$0.15 (best)
Blended (3:1)$3.75$1.35 (best)$3.38
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Alibaba APIOfficial Google API
Limits
Context window1,000,000 tokens262,144 tokens1,048,576 tokens (best)
Max output65,536 tokens65,536 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoYes
AudioNoYesYes
VideoNoYesYes
ReasoningYesYesYesminimal · low · medium · high
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryOpenProprietary
API model IDqwen3.7-maxqwen3.6-27bgemini-3.5-flash
API providers262732 (best)
ReleasedMay 21, 2026Apr 22, 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
  • Qwen3.6 27B$13.20
  • Gemini 3.5 Flash$33.00
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Max, Qwen3.6 27B or Gemini 3.5 Flash?

Gemini 3.5 Flash is the better all-round choice, scoring 69/100 against Qwen3.6 27B (65) and Qwen3.7 Max (58). It leads on inputs & features. Qwen3.6 27B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.7 Max, Qwen3.6 27B or Gemini 3.5 Flash?

Qwen3.6 27B is cheaper at $0.60 input / $3.60 output per million tokens (official Alibaba 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 $1.35 per million tokens for Qwen3.6 27B versus $3.38 for Gemini 3.5 Flash (2.5× as much) and $3.75 for Qwen3.7 Max (2.8× 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 Qwen3.6 27B 146.5 (#68 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%, Qwen3.6 27B 85.9%; FrontierMath Tiers 1–3 — Qwen3.7 Max 64.6%, Gemini 3.5 Flash 62.8%, Qwen3.6 27B 35.1%; OTIS Mock AIME 2024–2025 — Qwen3.7 Max 95.6%, Gemini 3.5 Flash 95.6%, Qwen3.6 27B 91.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.6 27B 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?

Gemini 3.5 Flash has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.7 Max and 262,144 for Qwen3.6 27B. Maximum output per response: Qwen3.7 Max up to 65,536, Qwen3.6 27B up to 65,536, Gemini 3.5 Flash up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Max accepts text; Qwen3.6 27B accepts text, images, audio 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?

Qwen3.6 27B publishes its weights and can be self-hosted; Qwen3.7 Max and Gemini 3.5 Flash is proprietary.

Which is newer?

Qwen3.7 Max is the newest, released May 21, 2026. Gemini 3.5 Flash came out May 19, 2026; Qwen3.6 27B came out Apr 22, 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.