One agent session
1M input tokens and 100K output tokens, no caching.
- Input1M x $1.90 = $1.90
- Output0.1M x $8 = $0.80
$2.70per session
Moonshot AI - Open weights
Kimi K2.7 Code HighSpeed pricing and specs
Kimi K2.7 Code HighSpeed is an open-weights model from Moonshot AI that costs $1.90 per 1M input tokens and $8 per 1M output tokens on the first-party API, with a 262K-token context window.
Last verified from platform.kimi.ai. All sources
- Input / 1M
- $1.90
- Output / 1M
- $8
- Context
- 262K tokens
- Weights
- Open
Pricing per 1M tokens
| Item | Price / 1M tokens |
|---|---|
| Input | $1.90 |
| Output | $8 |
| Cache read | $0.38 |
Note: Sold as its own model ID at double the kimi-k2.7-code price. The docs say it is the same model as kimi-k2.7-code with the same parameter rules and output of about 180 tokens/s (up to 260 tokens/s on short contexts). They also say capacity is currently limited. Weights point to the Kimi-K2.7-Code repo because the docs call it the same model. input is the cache-miss price and cache read is the cache-hit price. No separate cache write is billed. The Batch API page does not list this model, so batch prices are blank. max output is not stated because the docs give a max_tokens default of 32768 but no maximum. The release date is left blank because the changelog says only that it followed K2.7 Code in June 2026.
Specs
- Context window
- 262,144 tokens
- Provider
- Moonshot AI
- API model id
kimi-k2.7-code-highspeed- Vercel AI Gateway id
moonshotai/kimi-k2.7-code-highspeed- Weights
- Open weights
- License
- Modified MIT License (Hugging Face license tag: other)
- Weights download
- huggingface.co
What Kimi K2.7 Code HighSpeed costs in practice
Worked from the standard list rates above, with the math shown so you can swap in your own token counts.
A chat app
10,000 requests a day at 2K input and 500 output tokens each.
- Input20M x $1.90 = $38.00
- Output5M x $8 = $40.00
$78.00per day
$2,340.00 per 30-day month
The same session at a 90% cache hit
90% of the input is read from the prompt cache. The one-time cache write premium is not included.
- Cached input0.9M x $0.38 = $0.342
- Uncached input0.1M x $1.90 = $0.19
- Output0.1M x $8 = $0.80
$1.33per session
Compare with
| Model | Input / 1M | Output / 1M |
|---|---|---|
| Kimi K2.7 Code HighSpeed (this page) | $1.90 | $8 |
| GPT-4.1OpenAI | $2 | $8 |
| Jamba Large 1.7AI21 Labs | $2 | $8 |
| o3OpenAI | $2 | $8 |
| Qwen3.5-Omni-PlusAlibaba Cloud (Qwen) | $1.40 | $8.30 |
| Kimi K2.6Moonshot AI | $0.95 | $4 |
| Kimi K2.7 CodeMoonshot AI | $0.95 | $4 |
| Kimi K3Moonshot AI | $3 | $15 |
Related reading
- Kimi K3 Is GA in GitHub Copilot: Pricing, Rollout, and What It Means for Model ChoiceKimi K3 is GA in GitHub Copilot at $3/$15 per million tokens, off by default for Business and Enterprise. Rollout details and what it means for model choice.
- Cloudflare Runs Kimi and GLM at Scale: FP8 KV Caches, INT4 Weights, and a Cache Safety NetCloudflare runs Kimi K2.6 and GLM 5.2 on Workers AI with FP8 KV caches, INT4 weights and a KV cache integrity check. What each technique buys on GPU fleets.
- AMD MI355X vs NVIDIA B200 vs B300 for Open-Weight ServingAMD MI355X vs NVIDIA B200 vs B300 for serving Kimi K3's about 1.5TB of open weights: verified specs, the Wafer benchmark, and cost per token for each.
- Kimi Linear: An Attention Architecture That Outperforms Full AttentionKimi Linear explained: Moonshot's KDA hybrid linear attention beat full attention with 75% less KV cache and up to 6x faster decoding at 1M context.
- Kimi K3 Weights Land on HuggingFace: 2.8T Open Frontier Model You Can Actually DownloadKimi K3 open weights are on HuggingFace: 2.8T parameters, 1M context, native MXFP4 and a ~1.63TB download. The specs, license terms and HN reaction.
- Kimi K3 in 10 Minutes: Moonshot AI's 2.8T Open Model, API Setup, Pricing, and BenchmarksKimi K3 from Moonshot AI is a 2.8T open model with a 1M-token context and an OpenAI-compatible API. How to call it, what it costs, and how it benchmarks.
FAQ
How much does Kimi K2.7 Code HighSpeed cost per million tokens?
Kimi K2.7 Code HighSpeed costs $1.90 per 1M input tokens and $8 per 1M output tokens on Moonshot AI's first-party API, per platform.kimi.ai on October 17, 2026. Per 1M tokens, cache reads cost $0.38.
What is Kimi K2.7 Code HighSpeed's context window?
Kimi K2.7 Code HighSpeed has a 262,144-token context window.
Are Kimi K2.7 Code HighSpeed's weights open?
Yes. Kimi K2.7 Code HighSpeed's weights are published at https://huggingface.co/moonshotai/Kimi-K2.7-Code under the Modified MIT License (Hugging Face license tag: other).
Sources
Last verified from platform.kimi.ai.
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