One agent session
1M input tokens and 100K output tokens, no caching.
- Input1M x $0.95 = $0.95
- Output0.1M x $4 = $0.40
$1.35per session
Moonshot AI - Open weights
Kimi K2.7 Code pricing and specs
Kimi K2.7 Code is an open-weights model from Moonshot AI that costs $0.95 per 1M input tokens and $4 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
- $0.95
- Output / 1M
- $4
- Context
- 262K tokens
- Weights
- Open
Pricing per 1M tokens
| Item | Price / 1M tokens |
|---|---|
| Input | $0.95 |
| Output | $4 |
| Cache read | $0.19 |
| Batch inputBatch requests | $0.57 |
| Batch outputBatch requests | $2.40 |
Note: input is the cache-miss price and cache read is the cache-hit price. The pricing page bills cache writes separately only for K3, so cache write is not stated. Batch prices are 60% of standard. The Batch page also lists a batch cache-hit price of $0.114 per 1M tokens, which has no field in this schema. max output is not stated because the docs give a max_tokens default of 32768 (32k) but no maximum. Thinking is always on and cannot be disabled. Takes text, image and video input. The release date is left blank because the changelog says only 'June 2026'.
Specs
- Context window
- 262,144 tokens
- Provider
- Moonshot AI
- API model id
kimi-k2.7-code- Vercel AI Gateway id
moonshotai/kimi-k2.7-code- Weights
- Open weights
- License
- Modified MIT License (Hugging Face license tag: other)
- Weights download
- huggingface.co
What Kimi K2.7 Code 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 $0.95 = $19.00
- Output5M x $4 = $20.00
$39.00per day
$1,170.00 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 $0.19 = $0.171
- Uncached input0.1M x $0.95 = $0.095
- Output0.1M x $4 = $0.40
$0.666per session
Compare with
| Model | Input / 1M | Output / 1M |
|---|---|---|
| Kimi K2.7 Code (this page) | $0.95 | $4 |
| Kimi K2.6Moonshot AI | $0.95 | $4 |
| DeepSeek V4 ProDeepSeek | $1.32 | $3.96 |
| Mistral Large 4Mistral AI | $1.36 | $4.18 |
| Gemini 3.6 FlashGoogle | $0.75 | $3.75 |
| Kimi K2.7 Code HighSpeedMoonshot AI | $1.90 | $8 |
| Kimi K3Moonshot AI | $3 | $15 |
Compare
Side-by-side pages with both models' prices, specs, cost examples and like-for-like benchmark rows.
- Kimi K2.7 Code vs Mistral Large 4Similar price, same tier
- Kimi K2.7 Code vs Gemini 3.8 FlashSimilar price, same tier
- Kimi K2.7 Code vs GLM-5.3Similar price, same tier
- Kimi K2.7 Code vs Grok Build 0.1Similar price, same tier
- Kimi K2.7 Code vs Mistral Medium 3.5Similar price, same tier
- Kimi K2.7 Code vs DeepSeek V4 ProSimilar price, same tier
- Kimi K2.7 Code vs GPT-5.4 MiniSimilar price, same tier
Related reading
- Kimi K3 vs K2.7 Code: Is the Upgrade Worth It for Coding?Kimi K3 vs K2.7 Code: 1M vs 256K context, $3/$15 vs $0.95/$4 per million tokens, and when the bigger model earns its price on coding work.
- Kimi K2.7-Code Developer Guide: The Open-Source Coding Model Worth RunningKimi K2.7-Code is Moonshot's open-weight 1T-parameter coding model. Set it up with Claude Code, compare pricing, and get an honest read on its benchmarks.
- 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.
FAQ
How much does Kimi K2.7 Code cost per million tokens?
Kimi K2.7 Code costs $0.95 per 1M input tokens and $4 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 $0.19, and the batch rate is $0.57 input and $2.40 output.
What is Kimi K2.7 Code's context window?
Kimi K2.7 Code has a 262,144-token context window.
Are Kimi K2.7 Code's weights open?
Yes. Kimi K2.7 Code'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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