Model comparison
Kimi K2 0711 vs Kimi K2 Thinking
Price history, scores and specs for both models, line by line. Every value shows where it came from and when we last confirmed it.
Moonshotai
Kimi K2 0711
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.
Moonshotai
Kimi K2 Thinking
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning.
Quick take
Where each one leads
- Kimi K2 0711 costs less to send text to: $0.570 per million tokens, against $0.600 per million tokens for Kimi K2 Thinking.
- Kimi K2 0711 costs less per word it writes: $2.30 per million tokens, against $2.50 per million tokens for Kimi K2 Thinking.
- Kimi K2 Thinking reads more at once: 262,144 tokens, against 131,072 tokens.
- Kimi K2 Thinking scores higher on the Artificial Analysis Intelligence Index: 22 to 12.7.
- More people run Kimi K2 Thinking through OpenRouter than Kimi K2 0711 right now.
Each line comes from a checked value in the tables below. Pick on your workload: price and usage matter for high volume, context and scores for long documents and agent loops.
Price history
Prices side by side, day by day
- Kimi K2 0711
- Kimi K2 Thinking
- Kimi K2 0711
- Kimi K2 Thinking
Prices are the listed OpenRouter base rates in US dollars. A day we could not confirm is left out of the line, never filled in.
Price
What each one costs now
| Measure | Kimi K2 0711 | Kimi K2 Thinking |
|---|---|---|
| Input price | $0.570 per million tokens Leads | $0.600 per million tokens |
| Output price | $2.30 per million tokens Leads | $2.50 per million tokens |
Scores
Benchmarks, with source and date
| Measure | Kimi K2 0711 | Kimi K2 Thinking |
|---|---|---|
| Artificial Analysis Intelligence Index | 12.7 | 22 Leads |
| Artificial Analysis Coding Index | Not checked yet | 21 |
| Design Arena rating (Elo) | 1,046 | 1,109 Leads |
Specs
Context, modalities and tool use
| Measure | Kimi K2 0711 | Kimi K2 Thinking |
|---|---|---|
| Context window | 131,072 tokens | 262,144 tokens Leads |
| Reads | Text | Text |
| Writes | Text | Text |
| Tool calling | Yes | Yes |
| Reasoning mode | No | Yes |
| Open weights | Yes | Yes |
| Listed since | 11 July 2025 | 6 Nov 2025 |
Usage
How much each one is used
| Measure | Kimi K2 0711 | Kimi K2 Thinking |
|---|---|---|
| Tokens served on OpenRouter in a day | 231.2M (for 10 Nov 2026) | 338.8M Leads (for 10 Nov 2026) |
| Requests on OpenRouter in a day | 41.4K Leads (for 10 Nov 2026) | 17K (for 10 Nov 2026) |
| Tool calls on OpenRouter in a day | 4.3K (for 10 Nov 2026) | 4.4K Leads (for 10 Nov 2026) |
| Token usage, last 7 days | Up 10% on the week before Leads (for 10 Nov 2026) | Down 42% on the week before (for 10 Nov 2026) |
- Kimi K2 0711
- Kimi K2 Thinking
How this works
One link, either order
This link stays the same whichever order you name the two models in, so you can share it as it is. A line appears only when at least one model has a value we confirmed from a source; values we have not confirmed are left out, never guessed. To add a third record of any type, use the open comparison. Read how we check facts.