XAI VS MOONSHOT AI

Grok Code Fast 1 vs Kimi K2.6

Grok Code Fast 1 is about 3.3x cheaper than Kimi K2.6 on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.005 vs $0.0175. Kimi K2.6 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 K2.6$0.95$4.00$1.713

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 K2.6$0.0175$1,750+$1,250

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 K2.6
ProviderxAIMoonshot AI
Context window256,000 tokens262,144 tokens
Model classGeneral textGeneral text
TokenizerProprietary (counts estimated)Proprietary (counts estimated)

Count tokens for each model on its own page: Grok Code Fast 1 token counter and Kimi K2.6 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 K2.6 FAQ

Which is cheaper, Grok Code Fast 1 or Kimi K2.6?

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 K2.6 costs $0.95 input / $4.00 output — about a 3.3x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on Grok Code Fast 1 vs Kimi K2.6?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.005 on Grok Code Fast 1 and $0.0175 on Kimi K2.6. At 100,000 such requests per month that is $500 vs $1,750 — a difference of $1,250 per month.

Which has the bigger context window, Grok Code Fast 1 or Kimi K2.6?

Kimi K2.6. 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 K2.6 count tokens the same way?

Not exactly. Grok Code Fast 1 uses a proprietary tokenizer (counts are estimates) and Kimi K2.6 uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.