GOOGLE VS MOONSHOT AI

Gemini 3.1 Pro Preview vs Kimi K2.6

Kimi K2.6 is about 2.6x cheaper than Gemini 3.1 Pro Preview on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.0175 vs $0.044. Gemini 3.1 Pro Preview has the larger context window (1,048,576 vs 262,144 tokens).

Pricing verified

API pricing per 1M tokens

ModelInput / 1M tokensOutput / 1M tokensBlended (3:1 mix)
Gemini 3.1 Pro Preview$2.00$12.00$4.50
Kimi K2.6$0.95$4.00$1.713

Rates from official Google 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
Gemini 3.1 Pro Preview$0.044$4,400+$2,650
Kimi K2.6$0.0175$1,750—

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

SpecGemini 3.1 Pro PreviewKimi K2.6
ProviderGoogleMoonshot AI
Context window1,048,576 tokens262,144 tokens
Model classReasoningGeneral text
TokenizerProprietary (counts estimated)Proprietary (counts estimated)

Count tokens for each model on its own page: Gemini 3.1 Pro Preview token counter and Kimi K2.6 token counter. All Google models are on the Gemini Token Counter. All Moonshot AI models are on the Kimi Token Counter.

FAQ

Gemini 3.1 Pro Preview vs Kimi K2.6 FAQ

Which is cheaper, Gemini 3.1 Pro Preview or Kimi K2.6?

Kimi K2.6 is cheaper. At rates checked 2026-08-11, Gemini 3.1 Pro Preview costs $2.00 input / $12.00 output per 1M tokens, while Kimi K2.6 costs $0.95 input / $4.00 output — about a 2.6x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on Gemini 3.1 Pro Preview vs Kimi K2.6?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.044 on Gemini 3.1 Pro Preview and $0.0175 on Kimi K2.6. At 100,000 such requests per month that is $4,400 vs $1,750 — a difference of $2,650 per month.

Which has the bigger context window, Gemini 3.1 Pro Preview or Kimi K2.6?

Gemini 3.1 Pro Preview. It supports 1,048,576 tokens of context versus 262,144 tokens — roughly 786,000 English words in one request.

Do Gemini 3.1 Pro Preview and Kimi K2.6 count tokens the same way?

Not exactly. Gemini 3.1 Pro Preview 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.