Kimi K2 0711
by Moonshot AI · moonshotai/kimi-k2 · #186 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:31 AM UTC · refreshed hourly
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.57
per 1M tokens
Output
$2.30
per 1M tokens
Blended (3:1)
$1.00
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Kimi K2 0711 (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $1.00 | $0.0604 | — |
| 50% | $1.00 | $0.0604 | −0% |
| 90% | $1.00 | $0.0604 | −0% |
*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 | $0.000975 | $0.975 |
| Document summary | 8,000 | 1,000 | $0.00686 | $6.86 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0217 | $21.70 |
| Long-context analysis | 150,000 | 5,000 | $0.097 | $97.00 |
Performance
Intelligence Index
—
AA composite quality
Coding Index
—
Math Index
—
Agentic Index
—
Output speed
—
median
Time to first token
—
median
Time to first answer
—
after reasoning tokens
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,078 |
| UI components | 1,073 |
| Data viz | 1,055 |
| Game dev | 1,033 |
| Code categories | 1,067 |
Specs
Context window
131K
tokens
Max output
100K
tokens
Input modalities
text
Tokenizer
Other