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Model comparison

Qwen 3.7 Max vs Qwen3-Max

Two Qwen tiers compared on the figures that decide which one a workload actually needs.

Catalog record checked September 3, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

Qwen

Qwen 3.7 Max

Frontier

vs

Qwen

Qwen3-Max

Frontier

AI model capability comparison
SpecificationQwen 3.7 MaxQwen3-Max
ProviderQwenQwen
TierFrontierFrontier
Context windowWinner: 1M262K
Max outputWinner: 128K66K
Input / 1M tokens$2.50Winner: $1.20
Output / 1M tokens$7.50Winner: $6
WeightsClosedClosed
Parametersproprietary MoE1T (proprietary)
Reasoning levelslow, high, maxlow, high, max
Modalitiestext, image, videotext, image, video
API model idqwen3.7-maxqwen3-max
ReleasedMay 20, 2026September 23, 2025
Artificial Analysis Intelligence Index (2026-08-14)Winner: 5552

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

  • 2026-08-14: Artificial AnalysisComposite index blending reasoning, knowledge, and coding evals into one 0–100 score. Comparability: directly comparable — AA occasionally rebaselines the index scale between snapshots — a score captured on one date is only comparable to same-snapshot scores (check measuredAt).

Pricing tiers: Qwen 3.7 Max: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API. · Qwen3-Max: Qwen API $1.20/$6.00 per MTok (≤32K); higher tiers for 32K–256K. OpenRouter lists ~$0.78/$3.90. Proprietary, API-only.

FrontierRecord checked September 3, 2026

Qwen 3.7 Max

Qwen 3.7 Max is Alibaba's previous-generation proprietary flagship with a 1M-token context.

Best for

  • API-only multimodal
  • Long-context
  • Enterprise

Watch out

Closed/proprietary; no published weights. Succeeded by Qwen 3.8 Max.

FrontierRecord checked September 3, 2026

Qwen3-Max

Qwen3-Max is Alibaba's proprietary 1-trillion-parameter API model with multimodal input.

Best for

  • Agentic coding
  • Multimodal knowledge work
  • Long-context via API

Watch out

Max line is proprietary/API-only (no published weights). Per-provider prices differ.

When the cheaper one wins

Qwen3-Max is cheaper on output at $6 per million tokens against $7.50 for Qwen 3.7 Max — about 1.3×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

Run the model picker

Evidence confidence: High

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sidesInput and output rates are verified for both models.
  • 5/5 core specs verified on both sidesAll core specifications verified for both models.
  • 1 shared named benchmark with differing scoresMeasured on: Artificial Analysis Intelligence Index.
  • Verified within the last 90 daysNewest catalog check was 8 days ago.
  • Both models carry source citationsEach side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Common questions

Qwen 3.7 Max vs Qwen3-Max

Answered from the verified figures on this page rather than general guidance.

Is Qwen 3.7 Max or Qwen3-Max cheaper for input?

Qwen3-Max is cheaper at $1.20 per million input tokens, against $2.50 for Qwen 3.7 Max — roughly 2.1× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Qwen 3.7 Max has tiered pricing: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API. Qwen3-Max has tiered pricing: Qwen API $1.20/$6.00 per MTok (≤32K); higher tiers for 32K–256K. OpenRouter lists ~$0.78/$3.90. Proprietary, API-only.

Is Qwen 3.7 Max or Qwen3-Max cheaper for output?

Qwen3-Max is cheaper at $6 per million output tokens, against $7.50 for Qwen 3.7 Max — roughly 1.3× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Qwen 3.7 Max has tiered pricing: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API. Qwen3-Max has tiered pricing: Qwen API $1.20/$6.00 per MTok (≤32K); higher tiers for 32K–256K. OpenRouter lists ~$0.78/$3.90. Proprietary, API-only.

Which has the larger context window, Qwen 3.7 Max or Qwen3-Max?

Qwen 3.7 Max accepts 1M tokens against 262K for Qwen3-Max. This only matters if you routinely send very long documents or large codebases.

Do Qwen 3.7 Max and Qwen3-Max support the same reasoning levels?

Yes — both accept the same effort settings: "low", "high", "max". Higher effort costs more and takes longer, so start low and raise it only where output quality actually improves.

Should I use Qwen 3.7 Max or Qwen3-Max?

Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. Qwen 3.7 Max suits api-only multimodal; Qwen3-Max suits agentic coding.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: Qwen3-Max costs $1.20 per 1M tokens versus $2.50 for Qwen 3.7 Max — a 2.1x difference at the headline tier.
  • Context: Qwen 3.7 Max takes 1M against 262K for Qwen3-Max — only decisive if your prompts approach the smaller window.
  • Measured capability: Qwen 3.7 Max leads Artificial Analysis Intelligence Index 55 to 52 (measured 2026-08-14).

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