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Comparison · 2 models · Updated Oct 4, 2026

Qwen3.7 Max vs GPT-5.2

Too close to call on our weighted score (GPT-5.2 61, 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
    Full specs Remove Qwen3.7 Max

  2. OpenAI

    GPT-5.2

    Released Dec 11, 2025

    61/100
    • ECI153.5
    • Price$1.75 / $14.00
    • Context400K
    Full specs Remove GPT-5.2

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (GPT-5.2 61/100, Qwen3.7 Max 58/100), so choose by what matters most for your work: Qwen3.7 Max for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3.7 MaxCapabilities Index (ECI): Qwen3.7 Max 153.7 · GPT-5.2 153.5
  • Lowest priceQwen3.7 MaxQwen3.7 Max $3.75 · GPT-5.2 $4.81 per 1M tokens (3:1 blend)
  • Longest contextQwen3.7 MaxQwen3.7 Max 1,000,000 · GPT-5.2 400,000 tokens
  • Widest inputsGPT-5.2Qwen3.7 Max: Text · GPT-5.2: Text, Images
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightQwen3.7 MaxGPT-5.2
CapabilityCapabilities Index (ECI)50%8383
Price25%2318
Inputs & features15%3570
Context window10%6044
Overall100%58/10061/100
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 GPT-5.2 specifications side by side
SpecificationQwen3.7 MaxAlibaba (Qwen)GPT-5.2OpenAI
Capability
Capabilities Index (ECI)153.7 (best)153.5
ECI rank#37 of 148 (best)#38 of 148
GPQA DiamondGraduate-level science questions90.9%91.4% (best)
FrontierMath Tiers 1–3Research-level mathematics64.6%67.4% (best)
OTIS Mock AIME 2024–2025Competition mathematics95.6%96.1% (best)
SWE-bench VerifiedFixing real GitHub issues77.3% (best)73.8%
SimpleQA VerifiedShort factual questions55.8% (best)37.1%
Price per million tokens
Input$2.50$1.75 (best)
Output$7.50 (best)$14.00
Cached input$0.50$0.175 (best)
Blended (3:1)$3.75 (best)$4.81
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial OpenAI API
Limits
Context window1,000,000 tokens (best)400,000 tokens
Max output65,536 tokens128,000 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYeslow · medium · high · xhigh
Tool callingYesYes
Structured outputNoYes
Availability
WeightsProprietaryProprietary
API model IDqwen3.7-maxgpt-5.2
API providers26 (best)21
ReleasedMay 21, 2026Dec 11, 2025
Knowledge cutoff—Aug 31, 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
  • GPT-5.2$45.50
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Max or GPT-5.2?

It is close. Our weighted score puts them within 2 points (GPT-5.2 61/100, Qwen3.7 Max 58/100), so choose by what matters most for your work: Qwen3.7 Max for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.7 Max or GPT-5.2?

Qwen3.7 Max is cheaper at $2.50 input / $7.50 output per million tokens (official Alibaba API price). GPT-5.2 costs $1.75 input / $14.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $3.75 per million tokens for Qwen3.7 Max versus $4.81 for GPT-5.2 (1.3× as much).

Which scores higher on benchmarks?

Qwen3.7 Max scores higher on the Capabilities Index (ECI): Qwen3.7 Max 153.7 (#37 of 148) and GPT-5.2 153.5 (#38 of 148). The confidence ranges of the top two overlap (151.9–156.0 vs 151.7–155.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.2 91.4%, Qwen3.7 Max 90.9%; FrontierMath Tiers 1–3 — GPT-5.2 67.4%, Qwen3.7 Max 64.6%; OTIS Mock AIME 2024–2025 — GPT-5.2 96.1%, Qwen3.7 Max 95.6%; SWE-bench Verified — Qwen3.7 Max 77.3%, GPT-5.2 73.8%; SimpleQA Verified — Qwen3.7 Max 55.8%, GPT-5.2 37.1%.

Which is better for coding?

Qwen3.7 Max resolves more real GitHub issues on SWE-bench Verified: Qwen3.7 Max 77.3% and GPT-5.2 73.8%. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen3.7 Max has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.2. Maximum output per response: Qwen3.7 Max up to 65,536, GPT-5.2 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Max accepts text; GPT-5.2 accepts text and images. GPT-5.2 handles the widest range of inputs.

Are any of these open source?

No. Qwen3.7 Max and GPT-5.2 are proprietary and only available through APIs and apps.

Which is newer?

Qwen3.7 Max is the newest, released May 21, 2026. GPT-5.2 came out Dec 11, 2025. Knowledge cutoff: GPT-5.2 Aug 31, 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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