ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Sonnet 4.6 vs Qwen3.7 Max vs GPT-5.2

Too close to call on our weighted score (Claude Sonnet 4.6 62, GPT-5.2 61, Qwen3.7 Max 58). The right pick depends on what you value most.

  1. Anthropic

    Claude Sonnet 4.6

    Released Feb 17, 2026

    62/100
    • ECI152.3
    • Price$3.00 / $15.00
    • Context1M
  2. Alibaba (Qwen)

    Qwen3.7 Max

    Released May 21, 2026

    58/100
    • ECI153.7
    • Price$2.50 / $7.50
    • Context1M
  3. OpenAI

    GPT-5.2

    Released Dec 11, 2025

    61/100
    • ECI153.5
    • Price$1.75 / $14.00
    • Context400K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Claude Sonnet 4.6 62/100, 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 · Claude Sonnet 4.6 152.3
  • Lowest priceQwen3.7 MaxQwen3.7 Max $3.75 · GPT-5.2 $4.81 · Claude Sonnet 4.6 $6.00 per 1M tokens (3:1 blend)
  • Longest contextClaude Sonnet 4.6 and Qwen3.7 MaxClaude Sonnet 4.6 1,000,000 · Qwen3.7 Max 1,000,000 · GPT-5.2 400,000 tokens
  • Widest inputsClaude Sonnet 4.6Claude Sonnet 4.6: Text, Images, PDFs · Qwen3.7 Max: Text · GPT-5.2: Text, Images
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightClaude Sonnet 4.6Qwen3.7 MaxGPT-5.2
CapabilityCapabilities Index (ECI)50%818383
Price25%132318
Inputs & features15%803570
Context window10%606044
Overall100%62/10058/10061/100
02 — Side by side

Every spec in one table

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

Claude Sonnet 4.6 vs Qwen3.7 Max vs GPT-5.2 specifications side by side
SpecificationClaude Sonnet 4.6AnthropicQwen3.7 MaxAlibaba (Qwen)GPT-5.2OpenAI
Capability
Capabilities Index (ECI)152.3153.7 (best)153.5
ECI rank#40 of 148#37 of 148 (best)#38 of 148
GPQA DiamondGraduate-level science questions87.4%90.9%91.4% (best)
FrontierMath Tiers 1–3Research-level mathematics—64.6%67.4% (best)
OTIS Mock AIME 2024–2025Competition mathematics85.8%95.6%96.1% (best)
SWE-bench VerifiedFixing real GitHub issues75.2%77.3% (best)73.8%
SimpleQA VerifiedShort factual questions35.5%55.8% (best)37.1%
Price per million tokens
Input$3.00$2.50$1.75 (best)
Output$15.00$7.50 (best)$14.00
Cached input$0.30$0.50$0.175 (best)
Blended (3:1)$6.00$3.75 (best)$4.81
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Anthropic APIOfficial Alibaba APIOfficial OpenAI API
Limits
Context window1,000,000 tokens (best)1,000,000 tokens (best)400,000 tokens
Max output64,000 tokens65,536 tokens128,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYeslow · medium · high · maxYesYeslow · medium · high · xhigh
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDclaude-sonnet-4-6qwen3.7-maxgpt-5.2
API providers41 (best)2621
ReleasedFeb 17, 2026May 21, 2026Dec 11, 2025
Knowledge cutoffAug 31, 2025—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.

  • Claude Sonnet 4.6$60.00
  • Qwen3.7 Max$40.00
  • GPT-5.2$45.50
04 — Questions

Which should you choose?

Which is better: Claude Sonnet 4.6, Qwen3.7 Max or GPT-5.2?

It is close. Our weighted score puts them within 1 points (Claude Sonnet 4.6 62/100, 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, Claude Sonnet 4.6, 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); Claude Sonnet 4.6 costs $3.00 input / $15.00 output per million tokens (official Anthropic 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) and $6.00 for Claude Sonnet 4.6 (1.6× 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), GPT-5.2 153.5 (#38 of 148) and Claude Sonnet 4.6 152.3 (#40 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%, Claude Sonnet 4.6 87.4%; OTIS Mock AIME 2024–2025 — GPT-5.2 96.1%, Qwen3.7 Max 95.6%, Claude Sonnet 4.6 85.8%; SWE-bench Verified — Qwen3.7 Max 77.3%, Claude Sonnet 4.6 75.2%, GPT-5.2 73.8%; SimpleQA Verified — Qwen3.7 Max 55.8%, GPT-5.2 37.1%, Claude Sonnet 4.6 35.5%.

Which is better for coding?

Qwen3.7 Max resolves more real GitHub issues on SWE-bench Verified: Qwen3.7 Max 77.3%, Claude Sonnet 4.6 75.2% and GPT-5.2 73.8%. All three support tool calling for agent workflows.

Which has the bigger context window?

Claude Sonnet 4.6 and Qwen3.7 Max have the largest context windows (1,000,000 and 1,000,000 tokens), against 400,000 for GPT-5.2. Maximum output per response: Claude Sonnet 4.6 up to 64,000, Qwen3.7 Max up to 65,536, GPT-5.2 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Claude Sonnet 4.6 accepts text, images and PDFs; Qwen3.7 Max accepts text; GPT-5.2 accepts text and images. Claude Sonnet 4.6 handles the widest range of inputs.

Are any of these open source?

No. Claude Sonnet 4.6, 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. Claude Sonnet 4.6 came out Feb 17, 2026; GPT-5.2 came out Dec 11, 2025. Knowledge cutoff: Claude Sonnet 4.6 Aug 31, 2025, 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.