Model
Kimi K2.6
Recorded as suitable for chat, rag, reasoning, zh, vision, agentic, long context.
- Source
- Model registry API
- Verified
- 19 Sep 2026
- Confidence
- High
01What this is
- Author
- moonshotai
- Family
- Kimi K2.6
- Task
- vision-language
- Hugging Face
- moonshotai/Kimi-K2.6
- OpenRouter
- moonshotai/kimi-k2.6
- Also known as
- Kimi K2.6, kimi-k2.6, kimi k2
02Registry facts
- LicenceFACT
other
- FreshRetrieved 19 Sep 2026
- ParametersFACT
1026.9B
- FreshRetrieved 19 Sep 2026
- Context lengthFACT
not returned by the registry
- Evidence not verified
- Downloads (30 days)FACT
475,954
- FreshRetrieved 19 Sep 2026
- LikesFACT
1,609
- FreshRetrieved 19 Sep 2026
- GatedFACT
no
- FreshRetrieved 19 Sep 2026
Model
- downloadsFACT
475954
- Verification may be outdatedRetrieved 19 Sep 2026
- gatedFACT
false
- Verification may be outdatedRetrieved 19 Sep 2026
- hosted context length · ChutesFACT
262144
- Verification may be outdatedRetrieved 19 Sep 2026
- hosted context length · InceptronFACT
262144
- Verification may be outdatedRetrieved 19 Sep 2026
- hosted context length · BaiduFACT
262144
- Verification may be outdatedRetrieved 19 Sep 2026
- likesFACT
1609
- Verification may be outdatedRetrieved 19 Sep 2026
- model licenseFACT
other
- Verification may be outdatedRetrieved 19 Sep 2026
- parameter countFACT
1026879376368
- Verification may be outdatedRetrieved 19 Sep 2026
Pricing
- hosted price completion per m · ChutesFACT
2.8500
- AgeingRetrieved 19 Sep 2026
- hosted price completion per m · InceptronFACT
2.1007
- AgeingRetrieved 19 Sep 2026
- hosted price completion per m · BaiduFACT
1.5760
- AgeingRetrieved 19 Sep 2026
- hosted price prompt per m · ChutesFACT
0.5000
- AgeingRetrieved 19 Sep 2026
- hosted price prompt per m · InceptronFACT
0.3746
- AgeingRetrieved 19 Sep 2026
- hosted price prompt per m · BaiduFACT
0.3743
- AgeingRetrieved 19 Sep 2026
Other
- available on platform · azureFACT
azure
Evidence not verified — the quoted phrase was not found in the fetched document.
- Evidence not verified
- last modifiedFACT
2026-05-19T09:01:54.000Z
- Verification may be outdatedRetrieved 19 Sep 2026
- libraryFACT
transformers
- AgeingRetrieved 19 Sep 2026
03VRAM by quantisation
Peak VRAM for serving this model, computed by lib/deployment/hardware.ts from weights + KV cache + 15% runtime overhead. Inputs: 1026.9B parameters, 8,192 tokens of context (assumed — none fetched yet), 4 concurrent requests (assumed).
| Quantisation | Weights | Total |
|---|---|---|
| bf16bf16 is two bytes per weight, the same arithmetic as fp16. | 2053.76 GB | 2379.11 GB |
| fp8 | 1026.88 GB | 1198.2 GB |
| int4 | 513.44 GB | 607.74 GB |
What this estimate assumes
- Weights: 1026.9B parameters × 2 bytes per parameter (fp16) = 2053.76 GB.
- No model configuration was supplied, so the KV cache uses the size heuristic for this band: 0.459 MB per token, from extrapolated above 90B — no configuration was fetched for this band.
- KV cache: 0.459 MB per token × 8,192 tokens of context × 4 concurrent requests = 15.03 GB, sized for every user holding a full context at once.
- Overhead: 15% of weights plus KV cache for the runtime, activations and memory fragmentation = 310.32 GB.
- GB means 10⁹ bytes, matching how GPU memory is advertised.
- KV cache held at fp16 (2 bytes per element); quantising weights does not by itself quantise the cache.
- Peak figure, not average: prefix caching and paged attention usually keep real usage lower, while speculative decoding, CUDA graphs and a second resident model push it higher.
- "Concurrent" counts requests generated at the same instant, not people: 4 simultaneous requests is the worst case this estimate is built on — measure yours before buying.
04Hardware profiles
No hardware profile was sized for this answer.
05Hosted providers
- Prompt (per million tokens, USD)FACT
0.3743
Source: openrouter
- FreshRetrieved 19 Sep 2026
- Completion (per million tokens, USD)FACT
1.576
- FreshRetrieved 19 Sep 2026
| Provider | Context |
|---|---|
| Baidu | 262,144 |
| Inceptron | 262,144 |
| Chutes | 262,144 |
| DigitalOcean | 262,144 |
| Decart | 262,144 |
| StreamLake | 256,000 |
06Deployment stacks
No published deployment stack names this model yet.
07Evidence
- 01–09Tier 4official repository / model cardOpenRouter
OpenRouter endpoints — moonshotai/kimi-k2.6
https://openrouter.ai/api/v1/models/moonshotai/kimi-k2.6/endpoints
Verification may be outdatedRetrieved 19 Sep 2026sha256:04ea4d3fcbcd9 records · · · · · · · ·
- 10–16Tier 4official repository / model cardHugging Face Hub
Hugging Face model card data — moonshotai/Kimi-K2.6
https://huggingface.co/api/models/moonshotai/Kimi-K2.6
Verification may be outdatedRetrieved 19 Sep 2026sha256:e41a560fa9e17 records · · · · · ·
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