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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...

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data quality72

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

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

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.
Current prices per 1M tokens
ProviderInput / 1MOutput / 1MCached inBatch in / outContextObservedSource
Moonshot AI Platformmoonshotai/kimi-k2.7-code$0.71$3.5$0.15262.1K4 h agoopenrouter.aiT2
Fireworks AIfireworks/kimi-k2p7-code$0.95$4$0.195 h agoapp.fireworks.aiT1

USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 2 providers

Output price history of Kimi K2.7 Code$0$1$2$3$4$5Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Fireworks AI: first observed → $4 · 11 Sept 2026Moonshot AI Platform: first observed → $3.5 · 11 Sept 2026
  • 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

Input price history of Kimi K2.7 Code$0$0.20$0.40$0.60$0.80$1$1.2Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Fireworks AI: first observed → $0.95 · 11 Sept 2026Moonshot AI Platform: first observed → $0.71 · 11 Sept 2026
  • Fireworks AI
  • Moonshot AI Platform
  • Moonshot AI Platformfirst observed $0.7111 Sept 2026
  • Fireworks AIfirst observed $0.9511 Sept 2026

Hardware fit37

Estimated

1 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
NVIDIA DGX B2004bit1,440 GB591.0 GB est.Yes
Apple M3 Ultra4bit591.0 GB est.No
Mac Studio (Apple M5 Ultra)4bit591.0 GB est.No
Apple M2 Ultra4bit591.0 GB est.No
Apple M1 Ultra4bit591.0 GB est.No
Apple M3 Max4bit591.0 GB est.No
Apple M4 Max4bit591.0 GB est.No
Mac Studio (Apple M5 Max)4bit591.0 GB est.No
MacBook Pro (Apple M5 Max)4bit591.0 GB est.No
Apple M2 Max4bit591.0 GB est.No
Apple M1 Max4bit591.0 GB est.No
Apple M4 Pro4bit591.0 GB est.No
Mac mini (Apple M5 Pro)4bit591.0 GB est.No
MacBook Pro (Apple M5 Pro)4bit591.0 GB est.No
Apple M3 Pro4bit591.0 GB est.No
Apple M1 Pro4bit591.0 GB est.No
Apple M2 Pro4bit591.0 GB est.No
Apple M44bit591.0 GB est.No
iMac (Apple M4)4bit591.0 GB est.No
Mac mini (Apple M6)4bit591.0 GB est.No
MacBook Air (Apple M5)4bit591.0 GB est.No
MacBook Pro (Apple M5)4bit591.0 GB est.No
Apple M24bit591.0 GB est.No
Apple M34bit591.0 GB est.No
Apple M14bit591.0 GB est.No
NVIDIA GeForce RTX 30904bit24 GB591.0 GB est.No
NVIDIA GeForce RTX 40904bit24 GB591.0 GB est.No
NVIDIA GeForce RTX 50904bit32 GB591.0 GB est.No
NVIDIA A100 80GB4bit80 GB591.0 GB est.No
NVIDIA H100 SXM4bit80 GB591.0 GB est.No
NVIDIA H100 NVL4bit94 GB591.0 GB est.No
NVIDIA DGX Spark4bit128 GB591.0 GB est.No
NVIDIA H2004bit141 GB591.0 GB est.No
NVIDIA H200 NVL4bit141 GB591.0 GB est.No
NVIDIA B2004bit180 GB591.0 GB est.No
AMD Instinct MI300X4bit192 GB591.0 GB est.No
AMD Instinct MI325X4bit256 GB591.0 GB est.No
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).
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 0 · ARTIFACTS1 quantizationartifacts · collapsed1 quantization — artifacts · collapsedKimi K2.7 Code1.03T params · this modelKimi K2.7 Code — 1.03T params · this model

    Change history33

    Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

    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
    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
    33 claims · 32 properties

    Release daterelease_date2

    Claim history for Release date
    ValueValid from → toStatusSourceConfidenceExtractor
    11 Jun 2026currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic
    12 Jun 2026supersededOpenRouter public model & pricing listingT2mediumdeterministic

    Opennessopenness1

    Claim history for Openness
    ValueValid from → toStatusSourceConfidenceExtractor
    open-weightscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Licenselicense1

    Claim history for License
    ValueValid from → toStatusSourceConfidenceExtractor
    othercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Architecturearchitecture1

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    ValueValid from → toStatusSourceConfidenceExtractor
    KimiK25ForConditionalGenerationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Parametersparameter_count1

    Claim history for Parameters
    ValueValid from → toStatusSourceConfidenceExtractor
    1.03TcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Context windowcontext_length1

    Claim history for Context window
    ValueValid from → toStatusSourceConfidenceExtractor
    262.1K tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Max outputmax_output_tokens1

    Claim history for Max output
    ValueValid from → toStatusSourceConfidenceExtractor
    235.9K tokenscurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Modalitiesmodalities1

    Claim history for Modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    image, textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Input modalitiesmodalities_input1

    Claim history for Input modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    image, textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Output modalitiesmodalities_output1

    Claim history for Output modalities
    ValueValid from → toStatusSourceConfidenceExtractor
    textcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    File sizefile_size_gb1

    Claim history for File size
    ValueValid from → toStatusSourceConfidenceExtractor
    595.2 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Hugging Face repohf_repo1

    Claim history for Hugging Face repo
    ValueValid from → toStatusSourceConfidenceExtractor
    moonshotai/Kimi-K2.7-CodecurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Pipeline tagpipeline_tag1

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    ValueValid from → toStatusSourceConfidenceExtractor
    image-text-to-textcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Model cardmodel_card_url1

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    ValueValid from → toStatusSourceConfidenceExtractor
    https://huggingface.co/moonshotai/Kimi-K2.7-CodecurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Downloadsmetric.downloads1

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    ValueValid from → toStatusSourceConfidenceExtractor
    190,300currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Likesmetric.likes1

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    ValueValid from → toStatusSourceConfidenceExtractor
    1,384currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Descriptiondescription1

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    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...currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Gatedgated1

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    ValueValid from → toStatusSourceConfidenceExtractor
    NocurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Hf inference providershf_inference_providers1

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    ValueValid from → toStatusSourceConfidenceExtractor
    baseten, deepinfra, featherless-ai, fireworks-ai, novita, togethercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Last modifiedlast_modified1

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    ValueValid from → toStatusSourceConfidenceExtractor
    2026-06-15T07:49:29+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Library namelibrary_name1

    Claim history for Library name
    ValueValid from → toStatusSourceConfidenceExtractor
    transformerscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    License namelicense_name1

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    ValueValid from → toStatusSourceConfidenceExtractor
    modified-mitcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Downloads all timemetric.downloads_all_time1

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    ValueValid from → toStatusSourceConfidenceExtractor
    1,815,098currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Model typemodel_type1

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    ValueValid from → toStatusSourceConfidenceExtractor
    kimi_k25currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Openrouter idopenrouter_id1

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    ValueValid from → toStatusSourceConfidenceExtractor
    moonshotai/kimi-k2.7-codecurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Reasoningreasoning1

    Claim history for Reasoning
    ValueValid from → toStatusSourceConfidenceExtractor
    YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Structured outputstructured_output1

    Claim history for Structured output
    ValueValid from → toStatusSourceConfidenceExtractor
    YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Supported parameterssupported_parameters1

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    ValueValid from → toStatusSourceConfidenceExtractor
    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_pcurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Tagstags1

    Claim history for Tags
    ValueValid from → toStatusSourceConfidenceExtractor
    transformers, safetensors, kimi_k25, feature-extraction, compressed-tensors, image-text-to-text, custom_codecurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    Tool callingtool_calling1

    Claim history for Tool calling
    ValueValid from → toStatusSourceConfidenceExtractor
    YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Visionvision1

    Claim history for Vision
    ValueValid from → toStatusSourceConfidenceExtractor
    YescurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

    Weights dtypeweights_dtype1

    Claim history for Weights dtype
    ValueValid from → toStatusSourceConfidenceExtractor
    BF16, F32, I32currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

    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

    Source documents
    SourceDocumentTypeTierLast observedSnapshots
    Fireworks AI — pricingdocs.fireworks.ai/serverless/pricing.md pricingT1· Official5 h ago2
    OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary4 h ago6
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/moonshotai/Kimi-K2.7-Code/raw/main/README.md model_cardT2· Quality secondary5 h ago1
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/moonshotai/Kimi-K2.7-Code model_pageT2· Quality secondary6 h ago5
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/amd/Kimi-K2.7-Code-MXFP4 model_pageT2· Quality secondary6 h ago5
    Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=moonshotai&p=0&sort=downloads listingT2· Quality secondary6 h ago6
    LiveBenchlivebench.ai/table_2026_06_25.csv leaderboardT2· Quality secondary10 h ago1
    Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary10 h ago1

    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 →