Moonshot AI · language model
Kimi K2 0711: pricing, context and benchmarks
Kimi K2 0711 is a language model from Moonshot AI released on July 11, 2025. It costs $0.57 per million input tokens and $2.3 per million output tokens, with a 131.1K-token context window. No independent score has been published for it so far.
| Price | 12/30 | |
|---|---|---|
| Context | 4/15 | |
| Features | 9/15 |
What you need to know about Kimi K2 0711
Kimi K2 0711 was released by Moonshot AI (China) on July 11, 2025. It accepts text as input and produces text. Its context window reaches 131,072 tokens, larger than 29 % of the models in the registry, and it can write up to 98,304 tokens in one go.
It has been available for about 15 months, long enough for its prices and scores to have settled.
Kimi K2 0711 pricing
On OpenRouter, Kimi K2 0711 costs $0.57 per million input tokens and $2.3 per million output tokens. Counting three tokens read for every token written, its average price is $1.003 per million, more expensive than 59 % of paid models (1.3 times the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0023. At 1,000 tasks a day, budget $69 a month. The price calculator redoes this with your own volumes.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Kimi K2 0711. We therefore show no made-up performance rating: only price, context and features count towards its score.
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- Its knowledge stops at December 2024.
Its weights are open and downloadable from Hugging Face (other licence): you can run it on your own machines without sending your data to a third party. With 1,026,408,235,864 billion parameters, it needs about 573,550,296,499 GB of memory at 4-bit quantisation. Check with the VRAM calculator. It was downloaded 343,227 times on Hugging Face last month.
Other Moonshot AI models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Kimi K3.1 Pro | Oct 23, 2026 | $4 | — |
| Kimi K3 | Jul 16, 2026 | $2.88 | 157.9 |
| Kimi K2.7 Code | Jun 12, 2026 | $1.28 | 150.1 |
| Kimi K2.6 | Apr 20, 2026 | $1.34 | 150.9 |
| Kimi K2.5 | Jan 27, 2026 | $1 | 148.1 |
| Kimi K2 Thinking | Nov 6, 2025 | $1.08 | 145.8 |
| Kimi K2 0905 | Sep 4, 2025 | $1.08 | — |
Verdict
Kimi K2 0711 scores 42/100 on our grid, which only uses published figures.
Strengths
- Open weights: self-hostable, your data stays with you.
Limitations
- No independent score published: performance cannot be verified.
- Text only: reads neither images nor files.
Avoid if…
- you want to host it on a single consumer computer (≈ 573,550,296,499 GB needed at 4-bit).
Alternatives
Comparisons and tools
Learn more
Frequently asked questions
How much does Kimi K2 0711 cost?
$0.57 per million input tokens and $2.3 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0023.
How big is Kimi K2 0711's context window?
131,072 tokens, roughly 98,000 words, with a maximum of 98,304 output tokens.
Can Kimi K2 0711 run locally?
Yes, its weights are published under the other licence. Expect about 573,550,296,499 GB of memory at 4-bit.
Is Kimi K2 0711 suitable for an AI agent?
Technically yes: it supports tool calling. Then check its cost for your volume.
What are the alternatives to Kimi K2 0711?
The closest models on price and performance are Aion-2.0, GLM 4.5, and Hermes 3 405B Instruct.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score