XAI VS ALIBABA

Grok Build 0.1 vs Qwen3.7 Max

Grok Build 0.1 is about 3.0x cheaper than Qwen3.7 Max on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.014 vs $0.04. Qwen3.7 Max has the larger context window (1,000,000 vs 256,000 tokens).

Pricing verified

API pricing per 1M tokens

ModelInput / 1M tokensOutput / 1M tokensBlended (3:1 mix)
Grok Build 0.1$1.00$2.00$1.25
Qwen3.7 Max$2.50$7.50$3.75

Rates from official xAI 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
Grok Build 0.1$0.014$1,400—
Qwen3.7 Max$0.04$4,000+$2,600

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

SpecGrok Build 0.1Qwen3.7 Max
ProviderxAIAlibaba
Context window256,000 tokens1,000,000 tokens
Model classGeneral textReasoning
TokenizerProprietary (counts estimated)Proprietary (counts estimated)

Count tokens for each model on its own page: Grok Build 0.1 token counter and Qwen3.7 Max token counter. All xAI models are on the Grok Token Counter. All Alibaba models are on the Qwen Token Counter.

FAQ

Grok Build 0.1 vs Qwen3.7 Max FAQ

Which is cheaper, Grok Build 0.1 or Qwen3.7 Max?

Grok Build 0.1 is cheaper. At rates checked 2026-08-11, Grok Build 0.1 costs $1.00 input / $2.00 output per 1M tokens, while Qwen3.7 Max costs $2.50 input / $7.50 output — about a 3.0x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on Grok Build 0.1 vs Qwen3.7 Max?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.014 on Grok Build 0.1 and $0.04 on Qwen3.7 Max. At 100,000 such requests per month that is $1,400 vs $4,000 — a difference of $2,600 per month.

Which has the bigger context window, Grok Build 0.1 or Qwen3.7 Max?

Qwen3.7 Max. It supports 1,000,000 tokens of context versus 256,000 tokens — roughly 750,000 English words in one request.

Do Grok Build 0.1 and Qwen3.7 Max count tokens the same way?

Not exactly. Grok Build 0.1 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.