XAI VS MOONSHOT AI

Grok Code Fast 1 vs Kimi K2 Thinking

Grok Code Fast 1 is about 2.0x cheaper than Kimi K2 Thinking on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.005 vs $0.011. Kimi K2 Thinking has the larger context window (262,144 vs 256,000 tokens).

Pricing verified

API pricing per 1M tokens

ModelInput / 1M tokensOutput / 1M tokensBlended (3:1 mix)
Grok Code Fast 1$0.20$1.50$0.525
Kimi K2 Thinking$0.60$2.50$1.075

Rates from official xAI pricing and official Moonshot AI 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 Code Fast 1$0.005$500—
Kimi K2 Thinking$0.011$1,100+$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 Code Fast 1Kimi K2 Thinking
ProviderxAIMoonshot AI
Context window256,000 tokens262,144 tokens
Model classGeneral textReasoning
TokenizerProprietary (counts estimated)Proprietary (counts estimated)

Count tokens for each model on its own page: Grok Code Fast 1 token counter and Kimi K2 Thinking token counter. All xAI models are on the Grok Token Counter. All Moonshot AI models are on the Kimi Token Counter.

FAQ

Grok Code Fast 1 vs Kimi K2 Thinking FAQ

Which is cheaper, Grok Code Fast 1 or Kimi K2 Thinking?

Grok Code Fast 1 is cheaper. At rates checked 2026-08-11, Grok Code Fast 1 costs $0.20 input / $1.50 output per 1M tokens, while Kimi K2 Thinking costs $0.60 input / $2.50 output — about a 2.0x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on Grok Code Fast 1 vs Kimi K2 Thinking?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.005 on Grok Code Fast 1 and $0.011 on Kimi K2 Thinking. At 100,000 such requests per month that is $500 vs $1,100 — a difference of $600 per month.

Which has the bigger context window, Grok Code Fast 1 or Kimi K2 Thinking?

Kimi K2 Thinking. It supports 262,144 tokens of context versus 256,000 tokens — roughly 197,000 English words in one request.

Do Grok Code Fast 1 and Kimi K2 Thinking count tokens the same way?

Not exactly. Grok Code Fast 1 uses a proprietary tokenizer (counts are estimates) and Kimi K2 Thinking uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.