ANTHROPIC VS ALIBABA

Claude Opus 5 vs Qwen3.7 Max

Qwen3.7 Max is about 2.7x cheaper than Claude Opus 5 on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.04 vs $0.10. Both models have the same 1,000,000-token context window.

Pricing verified

API pricing per 1M tokens

ModelInput / 1M tokensOutput / 1M tokensBlended (3:1 mix)
Claude Opus 5$5.00$25.00$10.00
Qwen3.7 Max$2.50$7.50$3.75

Rates from official Anthropic pricing and official Alibaba pricing, checked 2026-08-11.

What a real workload costs

Example: one request with 10,000 input tokens and 2,000 output tokens, then that request at 100,000 runs per month.

ModelPer request (10K in / 2K out)Per month (100K requests)Monthly delta
Claude Opus 5$0.10$10,000+$6,000
Qwen3.7 Max$0.04$4,000—

Model your own prompt sizes and volumes in the token cost analyzer, or check caching savings with the prompt caching calculator.

Specs side by side

SpecClaude Opus 5Qwen3.7 Max
ProviderAnthropicAlibaba
Context window1,000,000 tokens1,000,000 tokens
Model classReasoningReasoning
TokenizerProprietary (counts estimated)Proprietary (counts estimated)

Count tokens for each model on its own page: Claude Opus 5 token counter and Qwen3.7 Max token counter. All Anthropic models are on the Claude Token Counter. All Alibaba models are on the Qwen Token Counter.

FAQ

Claude Opus 5 vs Qwen3.7 Max FAQ

Which is cheaper, Claude Opus 5 or Qwen3.7 Max?

Qwen3.7 Max is cheaper. At rates checked 2026-08-11, Claude Opus 5 costs $5.00 input / $25.00 output per 1M tokens, while Qwen3.7 Max costs $2.50 input / $7.50 output — about a 2.7x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on Claude Opus 5 vs Qwen3.7 Max?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.10 on Claude Opus 5 and $0.04 on Qwen3.7 Max. At 100,000 such requests per month that is $10,000 vs $4,000 — a difference of $6,000 per month.

Which has the bigger context window, Claude Opus 5 or Qwen3.7 Max?

They are equal: both support 1,000,000 tokens of context, roughly 750,000 English words shared between prompt and response.

Do Claude Opus 5 and Qwen3.7 Max count tokens the same way?

Not exactly. Claude Opus 5 uses a proprietary tokenizer (counts are estimates) and Qwen3.7 Max uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.