Kimi K2.7 Code
Moonshot AIhuggingface.co/moonshotai/Kimi-K2.7-Code
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...
Updated 5 h ago · first seen 11 Sept 2026
model_01M294AJ09TWC8NXWVHZ9TMYEH
Overview
Identity
Identity block not returned by the API for this entity.
Openness
Openness not classified yet — no sourced evidence to place this model in the ontology.
Key facts
- Release date
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 7 h agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Architecture
- Architecture
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Model type
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Parameters
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Weights dtype
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- File size
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Library name
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium
- Pipeline tag
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium
- Hugging Face repo
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Capabilities
Modalities
- Modalities
- imagetext
- Input
- imagetext
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 9 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Benchmarks17
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
No benchmark results recorded
Providers & Pricing2
All offers in the price terminal →USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Price history
Output price · USD / 1M tokens 2 providers
- Fireworks AI
- Moonshot AI Platform
- Moonshot AI Platformfirst observed $3.511 Sept 2026
- Fireworks AIfirst observed $411 Sept 2026
Input price · USD / 1M tokens 2 providers
- Fireworks AI
- Moonshot AI Platform
- Moonshot AI Platformfirst observed $0.7111 Sept 2026
- Fireworks AIfirst observed $0.9511 Sept 2026
Hardware fit37
Assumptions (6)
- Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
- bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
- KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
- A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
- Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
- Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
Lineage
Open in Graph →Timeline24
Full timeline →Kimi K2.7 Code: context length changed from 256000 to 262144
Context window256K tokens→262.1K tokensopenrouterKimi K2.7 Code scores 56.292% on LiveBench
livebench_leaderboardKimi K2.7 Code scores 77.906% on LiveBench
livebench_leaderboardKimi K2.7 Code scores 62.657% on LiveBench
livebench_leaderboardKimi K2.7 Code scores 79.604% on LiveBench
livebench_leaderboardKimi K2.7 Code scores 45.656% on LiveBench
livebench_leaderboardKimi K2.7 Code scores 73.959% on LiveBench
livebench_leaderboardKimi K2.7 Code scores 82.808% on LiveBench
livebench_leaderboardKimi K2.7 Code scores 68.412% on LiveBench
livebench_leaderboardKimi K2.7 Code scores 44.7% on Terminal-Bench
artificial_analysisKimi K2.7 Code scores 67.42% on Terminal-Bench
artificial_analysisKimi K2.7 Code scores 1.01% on Terminal-Bench
artificial_analysisKimi K2.7 Code scores 90.06% on τ²-bench
artificial_analysisKimi K2.7 Code scores 63.13% on IFBench
artificial_analysisKimi K2.7 Code scores 47.8% on SciCode
artificial_analysisKimi K2.7 Code scores 35.03% on Humanity's Last Exam
artificial_analysisKimi K2.7 Code scores 89.6% on GPQA
artificial_analysisKimi K2.7 Code scores 26.27 on Artificial Analysis Intelligence Index
artificial_analysisKimi K2.7 Code: context length changed from 262144 to 256000
Context window262.1K tokens→256K tokensartificial_analysisKimi K2.7 Code: release date changed from 2026-06-11 to 2026-06-12
Release date11 Jun 2026→12 Jun 2026openrouterKimi K2.7 Code: release date changed from 2026-06-12 to 2026-06-11
Release date12 Jun 2026→11 Jun 2026huggingfaceMoonshot AI Platform lists Kimi K2.7 Code at $0.71 in / $3.5 out per 1M tokens
openrouterFireworks AI lists Kimi K2.7 Code at $0.95 in / $4 out per 1M tokens
fireworks_pricing
Change history33
Viewing AI Atlas as of 12 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Attributes as of 12 Sept 2026 38 claims in force
- Release date
- 11 Jun 2026
- Openness
- open-weights
- License
- Other
- Architecture
- KimiK25ForConditionalGeneration
- Parameters
- 1.03T
- Context window
- 262.1K tokens
- Max output
- 235.9K tokens
- Modalities
- image, text
- Input modalities
- image, text
- Output modalities
- text
- File size
- 595.2 GB
- Hugging Face repo
- moonshotai/Kimi-K2.7-Code
- Pipeline tag
- image-text-to-text
- Model card
- Downloads
- 190,300
- Likes
- 1,384
- Aa context window
- 256,000
- Aa openness
- open-weights
- Gated
- No
- Hf inference providers
- baseten, deepinfra, featherless-ai, fireworks-ai, novita, together
- Last modified
- 2026-06-15T07:49:29+00:00
- Library name
- transformers
- License name
- modified-mit
- Livebench hf link
- https://huggingface.co/moonshotai/Kimi-K2.7-Code
- Aa median output tokens per second
- 48.6
- Downloads all time
- 1,815,098
- Model type
- kimi_k25
- Openrouter id
- moonshotai/kimi-k2.7-code
- Openrouter listed at
- 12 Jun 2026
- Reasoning
- Yes
- Structured output
- Yes
- Supported parameters
- frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, parallel_tool_calls, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
- Tags
- transformers, safetensors, kimi_k25, feature-extraction, compressed-tensors, image-text-to-text, custom_code
- Tool calling
- Yes
- Vision
- Yes
- Weights available
- Yes
- Weights dtype
- BF16, F32, I32
Release daterelease_date2
Opennessopenness1
Licenselicense1
Architecturearchitecture1
Parametersparameter_count1
Context windowcontext_length1
Max outputmax_output_tokens1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
File sizefile_size_gb1
Hugging Face repohf_repo1
Pipeline tagpipeline_tag1
Model cardmodel_card_url1
Downloadsmetric.downloads1
Likesmetric.likes1
Descriptiondescription1
Gatedgated1
Hf inference providershf_inference_providers1
Last modifiedlast_modified1
Library namelibrary_name1
License namelicense_name1
Downloads all timemetric.downloads_all_time1
Model typemodel_type1
Openrouter idopenrouter_id1
Reasoningreasoning1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Visionvision1
Weights dtypeweights_dtype1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
35
Source tiers
T235
Freshest observation
5 h ago
Conflicts
None
Source documents 8
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (72/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →