Kimi K3.1 Pro
Moonshot
- 上下文窗口
- 1M 1,048,576 token
- 输入 / 输出
- 图像, 文本, 视频 → 文本
API 价格
USD / 百万 token
| 输入 | 输出 | 缓存输入 |
|---|---|---|
|
|
|
时间线
- · 权重版本 · 参考链接
输入/输出价格 · USD / 百万 token
| 模型 | 参考链接 | 输入/输出价格 |
|---|---|---|
moonshotai/kimi-k3.1-prostandard | openrouter | $2.00 / $10.00 |
moonshotai/kimi-k3.1-pro:batchbatch | openrouter | $0.70 / $6.00 |
moonshotai/kimi-k3.1-prostandard | vercel-gateway | $2.00 / $10.00 |
kimi-k3.1-prostandard · 文本 | opencode-go | $2.00 / $10.00 |
- · 参考链接 · GitHub search · Moonshot · commits · renj-arch/dimsred · @github-actions[bot]
摘录
Kimi K3.1 Pro is NOT callable. build.nvidia.com publishes the model, but its
- · 参考链接 · GitHub search · Moonshot · commits · renj-arch/dimsred · @github-actions[bot]
- · 参考链接 · GitHub search · Moonshot · commits · cmyolo441-coder/py.test · @claude
- · 参考链接 · GitHub search · Moonshot · commits · MadAppGang/claudish · @erudenko
- · 参考链接 · GitHub search · Moonshot · commits · DarkPrince922/Oreshnik · @claude
摘录
The form showed "Для Strix: openai/kimi-k3.1-pro" under a model with no such
- · 参考链接 · GitHub search · Moonshot · pulls · zhao-wuyan/llm-info · @github-actions[bot]
- · 参考链接 · GitHub search · Moonshot · pulls · vllm-project/vllm · @xaguilar-amd
摘录
- With Kimi-K3.1-Pro and the recipe's DSpark draft (`kv_cache_dtype: fp8`) on 8x MI325X, draft acceptance at 3 speculative tokens no longer collapses after a batch
- · 参考链接 · GitHub search · Moonshot · pulls · vercel-labs/fx · @fazxes
摘录
- Kimi K3.1 Pro (`moonshotai/kimi-k3.1-pro`) is now a Token Pass model.
- · 参考链接 · GitHub search · Moonshot · pulls · router-for-me/CLIProxyAPI · @evan188199-tech
摘录
feat(devin): add claude-fable-5-2 and kimi-k3-1-pro to default catalog
- · 参考链接 · GitHub search · Moonshot · pulls · keithhchen/hatch · @keithhchen
摘录
Models: new `hatch_model_roles` roles `inspiration` and `content`, seeded `kimi-k3.1-pro`, resolved per session role.
- · 参考链接 · GitHub search · Moonshot · pulls · keithhchen/hatch · @keithhchen
- · 参考链接 · GitHub search · Moonshot · pulls · huggingface/speech-to-speech · @andimarafioti
摘录
Models: Qwen3.8-2.4T, Qwen3.8-27B, Gemma 4 31B, DeepSeek-V4.1-Flash, DeepSeek-V4-Pro, Kimi-K3.1-Pro, GLM-5.3, MiniMax-M3.1-Flash, Mistral-Large-4, Muse-Spark-Open, Nemotron-3.5-Super, Hy4-preview; small: LFM3-1.7B, Ling-3.0-tiny, granite-4.2-3b, granite-4.2-8b, Qwen3.5-9B, LFM2.5-24B, Nemotron-3.5-Lightning, Gemma 4
- · 参考链接 · GitHub search · Moonshot · pulls · can1357/oh-my-pi · @will-bogusz
- · 参考链接 · GitHub search · Moonshot · pulls · attilaolah/dotfiles · @renovate[bot]
摘录
[`bcb0152`](https://redirect.github.com/ggml-org/llama.cpp/commit/bcb015287) model: add Kimi-K3.1-Pro text model ([#​31779](https://redirect.github.com/ggml-org/llama.cpp/issues/31779))
- · 参考链接 · GitHub search · Moonshot · pulls · adiudiuu/tps · @adiudiuu
- · 参考链接 · GitHub search · Moonshot · pulls · adiudiuu/tps · @adiudiuu
- · 参考链接 · GitHub search · Moonshot · pulls · Pinvou/CodeWhale · @asto18089
摘录
documents that missing field as HTTP 400. The `kimi-k3.1-pro[-highspeed]` direct-platform spellings did replay at default effort via the generic `kimi-` prefix heuristic, but were still
- · 参考链接 · GitHub search · Moonshot · pulls · JavaZeroo/torchtitan · @JavaZeroo
摘录
| Kimi-K3.1-Pro attention shape (96 heads, 4096 tokens, top-k 2048), pairs, 1x H100 | first call about 7 s (compile), then 12 ms forward and
- · 参考链接 · GitHub search · Moonshot · pulls · Heknon/AskCalls · @dependabot[bot]
摘录
<li>ai-sdk-provider: add kimi-k3-1-pro to known model ids by <a href="https://github.com/andrelandgraf"><code>@andrelandgraf</code></a> in <a href="https://redirect.github.com/neondatabase/neon-pkgs/pull/1091">neondatabase/neon-pkgs#1091</a></li>
- · 参考链接 · GitHub search · Moonshot · pulls · Heknon/AskCalls · @dependabot[bot]
摘录
<li>ai-sdk-provider: add kimi-k3-1-pro to known model ids by <a href="https://github.com/andrelandgraf"><code>@andrelandgraf</code></a> in <a href="https://redirect.github.com/neondatabase/neon-pkgs/pull/1091">neondatabase/neon-pkgs#1091</a></li>
- · 参考链接 · GitHub search · Moonshot · commits · Nulluminati/pi-extensions · @Nulluminati
- · 参考链接 · GitHub search · Moonshot · pulls · lightseekorg/tokenspeed · @Yu-Zhewen
摘录
Kimi-K3.1-Pro on 8x MI355X (TP8, KVP8, FP8 KV cache, 3 DSpark drafts, the gfx950 stack through #3355), InferenceX's acceptance-length gate: SPEED-Bench coding prompts, 80 requests
- · 参考链接 · GitHub search · Moonshot · pulls · lidge-jun/opencodex · @andrew05060414
摘录
rows showed prices. `cn:deepseek-v4.1-flash` came from OpenRouter (0.3/1.2). `cn:kimi-k3.1-pro`, `cn:glm-5.3-flash`, `zd/gpt-6-sol` and `zd/gemini-4-argon` came from models.dev.
- · 参考链接 · GitHub search · Moonshot · pulls · anomalyco/models.dev · @models-dev-automation[bot]
摘录
- created: `/home/runner/_work/models.dev/models.dev/providers/requesty/models/kimi-k3.1-pro@eu.toml`
参考链接
- · 目录记录 · Moonshot API ·
kimi-k3.1-pro
信号 4
规格
Kimi K3.1 Pro 是 Moonshot 的 AI 模型，权重开放，于 2026-10-23 发布。 上下文窗口为1,048,576 token。 每百万 token 的价格为：输入 $2.00，输出 $10.00。
- 上下文窗口
- 1,048,576
- 输入
- 图像 · 文本 · 视频
- 输出
- 文本
- 权重
- 开放
- 输入 · USD / 百万 token
- $2.00
- 输出 · USD / 百万 token
- $10.00
- 缓存输入 · USD / 百万 token
- $0.20
常见问题
Kimi K3.1 Pro 的上下文窗口有多大？
上下文窗口为1,048,576 token。
Kimi K3.1 Pro 的价格是多少？
每百万 token 的价格为：输入 $2.00，输出 $10.00。 缓存输入价格为每百万 token $0.20。
Kimi K3.1 Pro 的权重是否开放？
是的，Moonshot 已公开权重。
Kimi K3.1 Pro 何时发布？
2026-10-23。