Kimi K3
by Moonshot AI · moonshotai/kimi-k3 · #332 cheapest of 422 paid models
Prices updated Sep 20, 2026, 12:34 AM UTC · refreshed hourly
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$1.70
per 1M tokens
Output
$8.50
per 1M tokens
Blended (3:1)
$3.40
3 input : 1 output
Cache read
$0.17
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Kimi K3 with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $3.40 | $0.1819 | — |
| 50% | $2.83 | $0.1054 | −42% |
| 90% | $2.37 | $0.0442 | −76% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.0034 | $3.40 |
| Document summary | 8,000 | 1,000 | $0.0221 | $22.10 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.068 | $68.00 |
| Long-context analysis | 150,000 | 5,000 | $0.2975 | $297.50 |
Performance
Intelligence Index
43.8
AA composite quality
Coding Index
76.2
Math Index
—
Agentic Index
50.6
Output speed
—
median
Time to first token
—
median
Time to first answer
—
after reasoning tokens
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,353 |
| Web apps | 1,309 |
| Full-stack | 1,333 |
| Mobile apps | 1,279 |
| Android native | 1,258 |
| UI components | 1,369 |
| Data viz | 1,362 |
| SVG | 1,330 |
| 3D | 1,425 |
| Game dev | 1,406 |
| Agentic game dev | 1,252 |
| Godot game dev | 1,199 |
| HTML slides | 1,259 |
| Python→PPTX slides | 1,273 |
| Code categories | 1,387 |
Specs
Context window
1.05M
tokens
Max output
944K
tokens
Input modalities
text, image, video
Tokenizer
Other