MOONSHOT AI VS ALIBABA
Kimi K2 Thinking vs Qwen3.7 Max
Kimi K2 Thinking is about 3.5x cheaper than Qwen3.7 Max on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.011 vs $0.04. Qwen3.7 Max has the larger context window (1,000,000 vs 262,144 tokens).
Pricing verified
API pricing per 1M tokens
| Model | Input / 1M tokens | Output / 1M tokens | Blended (3:1 mix) |
|---|---|---|---|
| Kimi K2 Thinking | $0.60 | $2.50 | $1.075 |
| Qwen3.7 Max | $2.50 | $7.50 | $3.75 |
Rates from official Moonshot AI 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.
| Model | Per request (10K in / 2K out) | Per month (100K requests) | Monthly delta |
|---|---|---|---|
| Kimi K2 Thinking | $0.011 | $1,100 | — |
| Qwen3.7 Max | $0.04 | $4,000 | +$2,900 |
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
| Spec | Kimi K2 Thinking | Qwen3.7 Max |
|---|---|---|
| Provider | Moonshot AI | Alibaba |
| Context window | 262,144 tokens | 1,000,000 tokens |
| Model class | Reasoning | Reasoning |
| Tokenizer | Proprietary (counts estimated) | Proprietary (counts estimated) |
Count tokens for each model on its own page: Kimi K2 Thinking token counter and Qwen3.7 Max token counter. All Moonshot AI models are on the Kimi Token Counter. All Alibaba models are on the Qwen Token Counter.
FAQ
Kimi K2 Thinking vs Qwen3.7 Max FAQ
Which is cheaper, Kimi K2 Thinking or Qwen3.7 Max?
Kimi K2 Thinking is cheaper. At rates checked 2026-08-11, Kimi K2 Thinking costs $0.60 input / $2.50 output per 1M tokens, while Qwen3.7 Max costs $2.50 input / $7.50 output — about a 3.5x difference on a typical 3:1 input-heavy workload.
How much does a real request cost on Kimi K2 Thinking vs Qwen3.7 Max?
A request with 10,000 input tokens and 2,000 output tokens costs about $0.011 on Kimi K2 Thinking and $0.04 on Qwen3.7 Max. At 100,000 such requests per month that is $1,100 vs $4,000 — a difference of $2,900 per month.
Which has the bigger context window, Kimi K2 Thinking or Qwen3.7 Max?
Qwen3.7 Max. It supports 1,000,000 tokens of context versus 262,144 tokens — roughly 750,000 English words in one request.
Do Kimi K2 Thinking and Qwen3.7 Max count tokens the same way?
Not exactly. Kimi K2 Thinking 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.