What is Kimi K2.7 Code?

Kimi K2.7 Code is Moonshot AI's latest coding-focused agentic model, designed for long-horizon software engineering tasks. It supports 256K context, multi-step tool use, and multimodal inputs. The model uses about 30% fewer reasoning tokens than its predecessor, K2.6. It is available through Kimi Code, Kimi API, and as open weights and code.

How much does Kimi K2.7 Code cost in 2026?

Pricing for Kimi K2.7 Code itself is not publicly available. The model is offered via platforms like Hugging Face, where plans start at $9/month for PRO, $20/month for Team, and $50/month for Enterprise. Dedicated inference starts at $0.033/hour. These are platform costs, not direct model pricing. Exact model-specific pricing has not been verified.

Is Kimi K2.7 Code free?

Kimi K2.7 Code has a free tier based on publicly available information in the grounded product data. Buyers should still verify the current limits, upload allowances, export options, and any watermark or usage restrictions on the official site because free-plan packaging may have changed since the last product update.

Kimi K2.7 Code vs alternatives in this category: what is the difference?

Practically, Kimi K2.7 Code emphasizes long-horizon software engineering with 256K context and multi-step tool use, and it claims a 30% reduction in reasoning tokens compared to its predecessor. Alternatives may differ in context length, supported modalities, or agentic capabilities. Direct comparisons are not verified, but based on publicly available information, Kimi's focus on coding efficiency sets it apart.

What are the best alternatives to Kimi K2.7 Code?

Specific alternatives are not listed in the provided information. In the open-source coding model category, other options may exist, but no direct comparisons are verified. Buyers should evaluate models based on context length, tool use, and efficiency. It is recommended to research current alternatives as the landscape may have changed.

Is Kimi K2.7 Code safe for general business use?

Safety for general business use depends on your data handling and compliance requirements. The model is open-source, allowing self-hosting, which can enhance control. However, specific security audits or certifications are not publicly available. You should review the model's license and conduct your own security assessment before deployment.

Does Kimi K2.7 Code have an API?

Not verified: API availability is not publicly verified for Kimi K2.7 Code. Buyers should not assume a usable public API exists until the vendor publishes developer documentation or confirms access directly. Before planning an integration, verify endpoints, authentication, rate limits, pricing, support terms, and whether API access is generally available or limited to partners.

How does Kimi K2.7 Code work?

Operationally, Kimi K2.7 Code is an agentic model that processes coding tasks using a 256K context window, enabling it to handle large codebases. It employs multi-step tool use and multimodal inputs to perform software engineering tasks. The model is optimized to use approximately 30% fewer reasoning tokens than K2.6, improving efficiency.

What does Kimi K2.7 Code do?

Commercially, Kimi K2.7 Code performs long-horizon software engineering tasks, leveraging its 256K context for understanding extensive code. It supports multi-step tool use and multimodal inputs, making it suitable for complex coding workflows. The model is designed to be more efficient, reducing reasoning token usage by about 30% compared to its predecessor.

Does Kimi K2.7 Code train on user data?

The data training policy for Kimi K2.7 Code is not publicly available. As an open-source model, it can be self-hosted, which may prevent data from being used for training. However, if accessed via a third-party service, their policies would apply. This information is not verified and should be confirmed with the provider.

What are the disadvantages of Kimi K2.7 Code?

Potential disadvantages include unverified API availability, lack of publicly documented integrations, and unknown data training policies. The model's performance compared to alternatives is not verified. Additionally, running the model may require significant computational resources. These factors could limit its suitability for some users, based on publicly available information.

Who should not use Kimi K2.7 Code?

Users who require a fully managed, API-based service with guaranteed uptime and support may find Kimi K2.7 Code less suitable, as API availability is not verified. Those needing strict compliance certifications or clear data handling policies should exercise caution. It may also not be ideal for simple coding tasks where lighter models suffice.

What is Kimi K2.7 Code?

Kimi K2.7 Code is Moonshot AI's latest coding-focused agentic model, designed for long-horizon software engineering tasks. It supports 256K context, multi-step tool use, and multimodal inputs. The model uses about 30% fewer reasoning tokens than its predecessor, K2.6. It is available through Kimi Code, Kimi API, and as open weights and code.

How much does Kimi K2.7 Code cost in 2026?

Pricing for Kimi K2.7 Code itself is not publicly available. The model is offered via platforms like Hugging Face, where plans start at $9/month for PRO, $20/month for Team, and $50/month for Enterprise. Dedicated inference starts at $0.033/hour. These are platform costs, not direct model pricing. Exact model-specific pricing has not been verified.

Is Kimi K2.7 Code free?

Kimi K2.7 Code has a free tier based on publicly available information in the grounded product data. Buyers should still verify the current limits, upload allowances, export options, and any watermark or usage restrictions on the official site because free-plan packaging may have changed since the last product update.

Kimi K2.7 Code vs alternatives in this category: what is the difference?

Practically, Kimi K2.7 Code emphasizes long-horizon software engineering with 256K context and multi-step tool use, and it claims a 30% reduction in reasoning tokens compared to its predecessor. Alternatives may differ in context length, supported modalities, or agentic capabilities. Direct comparisons are not verified, but based on publicly available information, Kimi's focus on coding efficiency sets it apart.

What are the best alternatives to Kimi K2.7 Code?

Specific alternatives are not listed in the provided information. In the open-source coding model category, other options may exist, but no direct comparisons are verified. Buyers should evaluate models based on context length, tool use, and efficiency. It is recommended to research current alternatives as the landscape may have changed.

Is Kimi K2.7 Code safe for general business use?

Safety for general business use depends on your data handling and compliance requirements. The model is open-source, allowing self-hosting, which can enhance control. However, specific security audits or certifications are not publicly available. You should review the model's license and conduct your own security assessment before deployment.

Does Kimi K2.7 Code have an API?

Not verified: API availability is not publicly verified for Kimi K2.7 Code. Buyers should not assume a usable public API exists until the vendor publishes developer documentation or confirms access directly. Before planning an integration, verify endpoints, authentication, rate limits, pricing, support terms, and whether API access is generally available or limited to partners.

How does Kimi K2.7 Code work?

Operationally, Kimi K2.7 Code is an agentic model that processes coding tasks using a 256K context window, enabling it to handle large codebases. It employs multi-step tool use and multimodal inputs to perform software engineering tasks. The model is optimized to use approximately 30% fewer reasoning tokens than K2.6, improving efficiency.

What does Kimi K2.7 Code do?

Commercially, Kimi K2.7 Code performs long-horizon software engineering tasks, leveraging its 256K context for understanding extensive code. It supports multi-step tool use and multimodal inputs, making it suitable for complex coding workflows. The model is designed to be more efficient, reducing reasoning token usage by about 30% compared to its predecessor.

Does Kimi K2.7 Code train on user data?

The data training policy for Kimi K2.7 Code is not publicly available. As an open-source model, it can be self-hosted, which may prevent data from being used for training. However, if accessed via a third-party service, their policies would apply. This information is not verified and should be confirmed with the provider.

What are the disadvantages of Kimi K2.7 Code?

Potential disadvantages include unverified API availability, lack of publicly documented integrations, and unknown data training policies. The model's performance compared to alternatives is not verified. Additionally, running the model may require significant computational resources. These factors could limit its suitability for some users, based on publicly available information.

Who should not use Kimi K2.7 Code?

Users who require a fully managed, API-based service with guaranteed uptime and support may find Kimi K2.7 Code less suitable, as API availability is not verified. Those needing strict compliance certifications or clear data handling policies should exercise caution. It may also not be ideal for simple coding tasks where lighter models suffice.

Kimi K2.7 Code

Kimi K2.

Researched with AI|Data refreshed 48 minutes ago|2 sources|Updated 1 time this year

Data refreshed 48 minutes ago2 sources

Open SourceArtificial Intelligence

Kimi K2.

Researched with AI|Data refreshed 48 minutes ago|2 sources|Updated 1 time this year

Data refreshed 48 minutes ago2 sources

Open SourceArtificial Intelligence

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Starting price

From $0.033

Best for

Open Source

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Monthly traffic

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Social listening

7mentions

First indexed

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Kimi K2.7 Code is a practical fit for buyers evaluating focused AI tooling.

Who is it for?: Software engineers who need a coding agent for complex multi-step tasks; better than Claude Code for lower reasoning-token usage.
Alternatives: agmsg,Bob's CLI,AEVS

Product information

What this product does

Kimi K2.7 Code is Moonshot AI’s latest coding-focused agentic model, built for long-horizon software engineering, 256K context, multi-step tool use, multimodal inputs, and around 30% lower reasoning-token usage than K2.6. Available in Kimi Code, Kimi API, and as open weights/code.

Sourced from huggingface.co

Works With

Platforms

Web
Discord
iOS

Company & Maker

Who built Kimi K2.7 Code?

Product: Kimi’s most capable coding model yet
Live since: Jun 2026

The maker hasn't published a public statement we can verify yet.

Researched with AI · Data refreshed 48 minutes ago · How we score

Full Report Access

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or 10 for $24.99 -> $2.50 each

Kimi K2.7 Code is an open-weight coding agent model from Moonshot AI for long-horizon software engineering tasks, used by developers via Kimi Code, API, or self-hosted deployment.

Who should use

Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.

Best-fit workflows

Generates multi-file code changes from a single natural language specification.
Automates debugging and refactoring across large codebases with 256K context.
Drafts unit tests and integration tests for complex software modules.
Tracks and resolves issues by interacting with version control and issue trackers.
Executes multi-step tool use sequences (e.g., build, test, deploy) autonomously.
Software engineers who need a coding agent for complex multi-step tasks; better than Claude Code for lower reasoning-token usage.

Inferred from public dataView source →

30 minutes to 2 hours depending on deployment choiceDeveloper requiredSoloSmall teamMid-marketEnterprise

Pricing reality

Vendor stated
Open weights and code, free to use; API pricing available.
Actual cost
Self-hosting requires significant GPU resources; API usage incurs per-token costs.
Hidden costs
3 hidden cost warnings — unlock to view

Migration effort from 4 platforms analyzed

Pricing reality

Verified Jun 2026 / Vendor pricing evidence only

Vendor pricing page

Starting price

From $0.033

Verified plan rows linked below

Mindber only shows named plan cards when they come from linked pricing evidence. If the tier data is incomplete, this page falls back to the verified starting price instead of fabricating plan names or $0 tiers.

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Get early access to upcoming features

$9/mo

Upgrade your HF experience for $9/month.
10× private storage capacity
2× public storage capacity
20× included inference credits
8× ZeroGPU quota and highest queue priority
Fast iterations via SSH/VS Code and ZeroGPU Spaces hosting
Personal blog publishing
for private datasets

Dedicated inference, starting at $0.033/hour.

Deploy any ML model on dedicated and autoscaling infrastructure, right from the HF Hub.

$0.033

Deploy any ML model on dedicated and autoscaling infrastructure, right from the HF Hub. Secure, production-ready, with no cold starts.

PRO Account

Boost your personal HF experience

10× private storage capacity
2× public storage capacity
20× included inference credits
8× ZeroGPU quota and highest queue priority
Spaces Dev Mode & ZeroGPU Spaces hosting
Personal blog publishing
Dataset Viewer for private datasets

Team

Instant setup for growing teams

$20

SSO support (SAML & OIDC)
Data location control with Storage Regions
Detailed action reviews with Audit Logs
Granular access control via Resource Groups
Repository usage Analytics
Advanced auth policies and repository visibility controls
Centralized token control and approvals

What pricing pages often hide

Auto-renewal is often on by default and refunds are narrow.

Beta, Linux, or recovery edge cases often ship without SLA coverage.

Team and business tiers usually move to sales-led quoting.

One-time or lifetime offers tend to disappear at version boundaries.

True cost for your case

LIVE ESTIMATE

Use caseMonths needed

Estimated spend

Recurring billing is usually the real cost driver, not the first-month sticker price.

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Engagement signals (30d)

Based on 6 linked public signals.

Mindber Activity Score™

Score locked

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HOW THIS TOOL SCORES

Scores compare this tool with 48 similar tools in Open Source. Use it to judge Innovation and Capability before you shortlist.

Updated Jun 16, 2026Baseline refreshed May 25, 2026

How we score →

Innovation Index™

Is it new, different, and easy to understand?

above median7.7/10

Does it stand out from similar tools?7.0/10

Is this idea actually new?8.0/10

Can buyers understand it quickly?8.0/10

Functionality Score™

Does it cover the jobs buyers expect, and can it keep up?

Top 10%5.8/10

Does it cover the core jobs?5.0/10

Are the main features deep enough?7.0/10

Will it fit into your stack?4.0/10

Can users trust it to stay usable?5.5/10

Low confidence (30%) - some sub-scores have thin evidence.What this means →

Category baseline: Open SourceInnovation median: 7.7Capability median: 4.8n = 48

Data sources

Engagement: declining (38/100)Homepage load: 0.8sBaseline source: live product websites

Traffic & search proof

Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.

Google Trends live interest

Live Google Trends data for Kimi K2.7 Code: interest over time, regions, topics, and related queries.

Open Google Trends

Tracks 12-month Google search interest on a 0-100 relative interest scale.

Includes regional demand, so readers can see where search interest is strongest.

Includes related topics and related queries to surface adjacent demand and search intent.

FAQ

Only linked Q and A rows are shown. Empty FAQ data stays hidden.

Social mentions

Only linked public mention evidence is shown here.

7 linked

Showing top 3 of 7 linked mentions.

Sources and methodology

Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.

EVIDENCE TRAIL

Pricing evidenceenrichment:official-pricing92% confidence

Social mentionsenrichment:social-mentions75% confidence

FAQ / Q&AMindber Faq Ai

LINKED SOURCES

ProducthuntVerified

Kimi K2.7 Code

Reviews3Last seenJun 16, 2026

HOW WE VERIFY

Mindber only surfaces numbers that trace to a linked source record or explicit feature provenance. When the evidence is thin, the page hides the field instead of guessing. Activity and fit summaries reuse the same approved projections across the hero, main panels, and sidebar so one product cannot show two different truths.

Scoring methodologyActivity Signals methodologyReport a data issue

COMMUNITY CREDITS

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Verified contributions help the page stay honest. The wider member action set still lives in your dashboard so the public page stays focused on the two highest-signal workflows.

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About this data: Activity signals and intelligence cards are aggregated from public sources and reviewed by editors. Scores reflect public update frequency only — not product quality, company health, or investment suitability. Data may lag by up to 7 days. Learn more

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Engagement signals (30d)

Innovation Index™

Functionality Score™

Traffic & search proof

Google Trends live interest

Traffic and search data pending

FAQ

Social mentions

Sources and methodology

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Kimi K2.7 Code

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What this product does

Who built Kimi K2.7 Code?

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Who should use

Pricing reality

Compare this product in-line

Engagement signals (30d)

Innovation Index™

Functionality Score™

Traffic & search proof

Google Trends live interest

Traffic and search data pending

FAQ

Social mentions

Sources and methodology

Have you used Kimi K2.7 Code? Earn credits.