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Prompt guide
MediaQwen3.7 Max

Qwen3.7-Max: Alibaba Cloud Model Studio Versions, Pricing, and Cache Configuration

Original source

Alibaba Cloud Model Studio

AuthorAlibaba Cloud

Source date2026-08-18

Tabbit curation2026-08-19

Read original

One-sentence takeaway

The official pricing page maps the qwen3.7-max alias to a dated snapshot and explicitly lists the 1M input limit, standard rates, promotions, and cache/batch rules, making it a configuration source that must be pinned for budgeting and reproduction.

Use cases

  • Suitable tasks: Deploying Qwen3.7-Max in the international region of Alibaba Cloud Model Studio, planning long-context budgets, pinning a model version, and comparing cache/batch costs.

  • Unsuitable tasks: Treating a time-limited promotion as a permanent price, or using this pricing page to infer model quality or latency.

  • Applicable model versions: qwen3.7-max (currently equivalent on the page to qwen3.7-max-2026-05-20), or explicitly qwen3.7-max-2026-05-20 / qwen3.7-max-2026-06-08.

  • Applicable clients, agents, or APIs: Alibaba Cloud Model Studio International; it can be accessed through OpenAI-/Anthropic-compatible clients.

  • Recommended reasoning levels and parameters: Use Thinking/Non-Thinking according to the task A/B; for long-horizon Agents, record whether context caching is enabled and whether batch processing is used.

Ready-to-use content

Write the key pricing fields into the deployment configuration:

provider: Alibaba Cloud Model Studio
region: International
model_alias: qwen3.7-max
resolved_snapshot: qwen3.7-max-2026-05-20
context_limit: 1000000
standard_price_per_1M:
  input: 2.50
  output: 7.50
pricing_mode: thinking_or_non_thinking
cache: verify_current_context_cache_table

Budget function:

standard_cost =
  input_tokens / 1M × 2.50
  + output_tokens / 1M × 7.50

If using cache or batch:
  do not stack the two discounts;
  recalculate separately according to the Model Studio Context Cache / Batch rules in effect that day.

Testing/workflow steps

  1. Save both the alias and the dated snapshot in the deployment record; if using the alias, periodically check the official page's “currently equivalent” mapping.

  2. Pin the international region, model mode, input length, and output limit, then run a no-cache baseline first.

  3. Put the stable system prompt, tool definitions, and reference documents in the prefix; after enabling explicit or implicit cache, compare hit rate, cache-write cost, and cache-read cost.

  4. Run batch separately when needed, and confirm that batch and cache discounts cannot be used together.

  5. For requests within 1M, calculate using the page's 0<Token≤1M rate; above the model limit, split the request rather than assuming tiered pricing will extend automatically.

  6. Record the region, promotion status, snapshot, mode, token bill, and cache hits so the next reproduction uses the same billing version.

Original evidence and data

  • qwen3.7-max is currently equivalent to qwen3.7-max-2026-05-20; the page also lists dated entries for qwen3.7-max-2026-06-08 and qwen3.7-max-2026-05-20.

  • International region, Thinking/Non-Thinking modes, 0<Token≤1M.

  • Standard list price: $2.50 input and $7.50 output per 1M tokens; the current alias row shows a limited-time 50% off promotion, but the final console price should be treated as authoritative.

  • Alibaba Cloud's general rules: cache-hit input tokens and tokens used to create an explicit cache have different rates; the example charges explicit-cache creation at 125% of the standard input price and cache hits at 10%.

  • If supported, Batch charges both input and output at 50% of the real-time inference price; batch and context-cache discounts cannot be combined.

  • The page labels 1M as the per-request input range for this pricing tier; specific context capabilities should still be checked against the Qwen official model page and actual API limits.

Scope and limitations

  • The pricing page changes with region, promotions, and date; the limited-time 50% off promotion must not be hard-coded into a long-term budget.

  • “Cache hits at 10%” is an example rule given on the page; supported models and cache TTL must be checked on the Context Cache page.

  • Alias equivalence can change; use a dated snapshot when paper/benchmark reproducibility matters.

  • Pricing, caching, and batch only describe operating cost; they do not establish Qwen3.7-Max's quality, speed, or safety for a particular task.

Source excerpt or observation (brief excerpt for compliance only)

The page emphasizes “This document only lists standard prices,” so pricing decisions must retain the collection date and promotion status.

Curated by Tabbit

Prompt material is summarized from public sources and Tabbit editorial notes. Check the original licensing and intended use before copying it.

Qwen3.7 Max

Use in Tabbit

Qwen3.7 Max

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