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Google: Gemini 2.5 Pro vs MoonshotAI: Kimi K3 (batch)

Neither wins outright: Google: Gemini 2.5 Pro is the pick when cost matters at scale, MoonshotAI: Kimi K3 (batch) when you want the newer model.

Key numbers

SpecGoogle: Gemini 2.5 ProMoonshotAI: Kimi K3 (batch)
ProviderGoogleMoonshotai
Input price (per 1M tokens)$1.25$2.28
Output price (per 1M tokens)$10.00$11.40
Blended price (3:1 input/output)$3.44$4.56
Cheaper than … of all models we track19%12%
Context window1.0M tokens (~1,573 pages)1.0M tokens (~1,573 pages)
Larger context than … of all models81%81%
Max output per response66K tokens (~49,200 words)16K tokens (~12,300 words)
Input typestext, image, file, audio, videotext, image, video
Output typestexttext
Free variantNoNo
Listed since2025-06-172026-07-16
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What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)Google: Gemini 2.5 ProMoonshotAI: Kimi K3 (batch)Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$294$399Google: Gemini 2.5 Pro saves $105
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$250$388Google: Gemini 2.5 Pro saves $138
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$270$410Google: Gemini 2.5 Pro saves $140
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$160$251Google: Gemini 2.5 Pro saves $90.80
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$72.50$125Google: Gemini 2.5 Pro saves $52.90

Capabilities side by side

CapabilityGoogle: Gemini 2.5 ProMoonshotAI: Kimi K3 (batch)What it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread screenshots, charts and scanned pages
Audio input✓ Yes—take speech or audio directly
File / PDF input✓ Yes—accept documents without your own parsing step
Image output——generate images, not just text
Built-in web search✓ Yes—answer from live web results
Seed (reproducible sampling)✓ Yes✓ Yesrepeat a generation for tests and evals
Log-probabilities——read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

DateModelInput / 1MOutput / 1M
2026-09-23MoonshotAI: Kimi K3 (batch)$2.28$11.40

Which should you choose?

Choose Google: Gemini 2.5 Pro if…

  • cost matters at scale — it is 25% cheaper on a typical 3:1 input/output mix ($294 vs $399 a month for 50,000 support chats)
  • you need audio input — to take speech or audio directly; MoonshotAI: Kimi K3 (batch) does not advertise it
  • you need file / PDF input — to accept documents without your own parsing step; MoonshotAI: Kimi K3 (batch) does not advertise it
  • you need built-in web search — to answer from live web results; MoonshotAI: Kimi K3 (batch) does not advertise it
  • you generate long outputs in one go — up to 66K tokens (about 49,200 words) per response

Choose MoonshotAI: Kimi K3 (batch) if…

  • you want the newer model — released 2026-07-16, 13 months after the other

Frequently asked questions

Is Google: Gemini 2.5 Pro better than MoonshotAI: Kimi K3 (batch)?

Neither wins outright: Google: Gemini 2.5 Pro is the pick when cost matters at scale, MoonshotAI: Kimi K3 (batch) when you want the newer model. In short: Google: Gemini 2.5 Pro when cost matters at scale, you need audio input, you need file / PDF input, you need built-in web search, you generate long outputs in one go; MoonshotAI: Kimi K3 (batch) when you want the newer model.

Which is cheaper, Google: Gemini 2.5 Pro or MoonshotAI: Kimi K3 (batch)?

Google: Gemini 2.5 Pro is cheaper: $3.44 vs $4.56 per 1M tokens at a typical 3:1 input/output mix, 25% less. For 50,000 support conversations a month that is $294 against $399.

How much do Google: Gemini 2.5 Pro and MoonshotAI: Kimi K3 (batch) cost per million tokens?

Google: Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens; MoonshotAI: Kimi K3 (batch) costs $2.28 input and $11.40 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Google: Gemini 2.5 Pro or MoonshotAI: Kimi K3 (batch)?

Both take 1.0M tokens per request — roughly 1,573 pages of text.

Do Google: Gemini 2.5 Pro and MoonshotAI: Kimi K3 (batch) support function calling and JSON output?

Tool calling — Google: Gemini 2.5 Pro: yes, MoonshotAI: Kimi K3 (batch): yes. JSON-schema structured output — Google: Gemini 2.5 Pro: yes, MoonshotAI: Kimi K3 (batch): yes.

Can Google: Gemini 2.5 Pro or MoonshotAI: Kimi K3 (batch) read images?

Yes, both accept image input.

Is Google: Gemini 2.5 Pro or MoonshotAI: Kimi K3 (batch) free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of Google: Gemini 2.5 Pro and MoonshotAI: Kimi K3 (batch)?

Google: Gemini 2.5 Pro can write up to 66K tokens (about 49,200 words) per response; MoonshotAI: Kimi K3 (batch) up to 16K (about 12,300 words).

When were Google: Gemini 2.5 Pro and MoonshotAI: Kimi K3 (batch) released?

Google: Gemini 2.5 Pro was listed on 2025-06-17; MoonshotAI: Kimi K3 (batch) on 2026-07-16.

Has the price of Google: Gemini 2.5 Pro or MoonshotAI: Kimi K3 (batch) changed?

Google: Gemini 2.5 Pro: price unchanged since we started tracking it on 2026-03-10. MoonshotAI: Kimi K3 (batch): input price cut 24% ($3.00 → $2.28/1M), output price cut 24% ($15.00 → $11.40/1M) on 2026-09-23.

About the two models

Google

Google: Gemini 2.5 Pro

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

Full Google: Gemini 2.5 Pro specs →

Compare Google: Gemini 2.5 Pro with other models

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Compare MoonshotAI: Kimi K3 (batch) with other models

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