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Comparison · 2 models · Updated Oct 4, 2026

Claude Sonnet 3.7 vs Qwen3 Max

Too close to call on our weighted score (Claude Sonnet 3.7 50, Qwen3 Max 50). The right pick depends on what you value most.

  1. Anthropic

    Claude Sonnet 3.7

    Released Feb 19, 2025

    50/100
    • ECI141.2
    • Price$3.00 / $15.00
    • Context200K
  2. Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

    50/100
    • ECI142.4
    • Price$1.20 / $6.00
    • Context262K
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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Claude Sonnet 3.7 50/100, Qwen3 Max 50/100), so choose by what matters most for your work: Qwen3 Max for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3 MaxCapabilities Index (ECI): Qwen3 Max 142.4 · Claude Sonnet 3.7 141.2
  • Lowest priceQwen3 MaxQwen3 Max $2.40 · Claude Sonnet 3.7 $6.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3 MaxQwen3 Max 262,144 · Claude Sonnet 3.7 200,000 tokens
  • Widest inputsClaude Sonnet 3.7Claude Sonnet 3.7: Text, Images, PDFs · Qwen3 Max: Text
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightClaude Sonnet 3.7Qwen3 Max
CapabilityCapabilities Index (ECI)50%6768
Price25%1332
Inputs & features15%7025
Context window10%3237
Overall100%50/10050/100
02 — Side by side

Every spec in one table

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

Claude Sonnet 3.7 vs Qwen3 Max specifications side by side
SpecificationClaude Sonnet 3.7AnthropicQwen3 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)141.2142.4 (best)
ECI rank#96 of 148#91 of 148 (best)
GPQA DiamondGraduate-level science questions79.7% (best)72.6%
FrontierMath Tiers 1–3Research-level mathematics—19.0%
OTIS Mock AIME 2024–2025Competition mathematics57.8%73.3% (best)
SWE-bench VerifiedFixing real GitHub issues61.0%—
SimpleQA VerifiedShort factual questions—48.8%
Price per million tokens
Input$3.00$1.20 (best)
Output$15.00$6.00 (best)
Cached input——
Blended (3:1)$6.00$2.40 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 3 providersOfficial Alibaba API
Limits
Context window200,000 tokens262,144 tokens (best)
Max output64,000 tokens65,536 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsProprietaryProprietary
API model ID—qwen3-max
API providers316 (best)
ReleasedFeb 19, 2025Sep 23, 2025
Knowledge cutoffOct 31, 2024Apr 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 3.7$60.00
  • Qwen3 Max$24.00
04 — Questions

Which should you choose?

Which is better: Claude Sonnet 3.7 or Qwen3 Max?

It is close. Our weighted score puts them within a point (Claude Sonnet 3.7 50/100, Qwen3 Max 50/100), so choose by what matters most for your work: Qwen3 Max for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Sonnet 3.7 or Qwen3 Max?

Qwen3 Max is cheaper at $1.20 input / $6.00 output per million tokens (official Alibaba API price). Claude Sonnet 3.7 costs $3.00 input / $15.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $2.40 per million tokens for Qwen3 Max versus $6.00 for Claude Sonnet 3.7 (2.5× as much).

Which scores higher on benchmarks?

Qwen3 Max scores higher on the Capabilities Index (ECI): Qwen3 Max 142.4 (#91 of 148) and Claude Sonnet 3.7 141.2 (#96 of 148). The confidence ranges of the top two overlap (140.0–144.6 vs 138.7–142.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Sonnet 3.7 79.7%, Qwen3 Max 72.6%; OTIS Mock AIME 2024–2025 — Qwen3 Max 73.3%, Claude Sonnet 3.7 57.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, Qwen3 Max leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen3 Max has the largest context window at 262,144 tokens, against 200,000 for Claude Sonnet 3.7. Maximum output per response: Claude Sonnet 3.7 up to 64,000, Qwen3 Max up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Claude Sonnet 3.7 accepts text, images and PDFs; Qwen3 Max accepts text. Claude Sonnet 3.7 handles the widest range of inputs.

Are any of these open source?

No. Claude Sonnet 3.7 and Qwen3 Max are proprietary and only available through APIs and apps.

Which is newer?

Qwen3 Max is the newest, released Sep 23, 2025. Claude Sonnet 3.7 came out Feb 19, 2025. Knowledge cutoff: Claude Sonnet 3.7 Oct 31, 2024, Qwen3 Max Apr 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.