DEEPSEEK VS ALIBABA

DeepSeek V4 Pro vs Qwen3.7 Max

DeepSeek V4 Pro is about 6.9x cheaper than Qwen3.7 Max on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.0061 vs $0.04. 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)
DeepSeek V4 Pro$0.435$0.87$0.544
Qwen3.7 Max$2.50$7.50$3.75

Rates from official DeepSeek pricing and official Alibaba pricing, checked 2026-08-11. Note: DeepSeek made its promotional rate the official list price after 2026-05-31.

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
DeepSeek V4 Pro$0.0061$609—
Qwen3.7 Max$0.04$4,000+$3,391

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

SpecDeepSeek V4 ProQwen3.7 Max
ProviderDeepSeekAlibaba
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: DeepSeek V4 Pro token counter and Qwen3.7 Max token counter. All DeepSeek models are on the DeepSeek Token Counter. All Alibaba models are on the Qwen Token Counter.

FAQ

DeepSeek V4 Pro vs Qwen3.7 Max FAQ

Which is cheaper, DeepSeek V4 Pro or Qwen3.7 Max?

DeepSeek V4 Pro is cheaper. At rates checked 2026-08-11, DeepSeek V4 Pro costs $0.435 input / $0.87 output per 1M tokens, while Qwen3.7 Max costs $2.50 input / $7.50 output — about a 6.9x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on DeepSeek V4 Pro vs Qwen3.7 Max?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.0061 on DeepSeek V4 Pro and $0.04 on Qwen3.7 Max. At 100,000 such requests per month that is $609 vs $4,000 — a difference of $3,391 per month.

Which has the bigger context window, DeepSeek V4 Pro 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 DeepSeek V4 Pro and Qwen3.7 Max count tokens the same way?

Not exactly. DeepSeek V4 Pro 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.