Seed-Coder is a series of open-source code large language models launched by the Seed Team of ByteDance. It includes base, instruction, and reasoning models, aiming to significantly enhance programming capabilities through minimal human effort and autonomous management of code training data. The model performs excellently among similar open-source models and is suitable for various coding tasks. It is positioned to promote the development of the open-source LLM ecosystem and is applicable to both research and industry.

How much does Seed-Coder cost in 2026?

Pricing information for Seed-Coder is not publicly available. As an open-source model, it may be free to use, but any associated costs such as hosting or API access are not verified. Users should check the official GitHub repository or contact ByteDance for current pricing details.

Seed-Coder 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.

Seed-Coder vs alternatives in this category: what is the difference?

Practically, Seed-Coder differentiates itself through its focus on autonomous management of code training data and minimal human effort. It offers base, instruction, and reasoning models, supports up to 32K context input, and provides multi-GPU distributed reasoning. Compared to alternatives, it emphasizes transparent data processing and training processes. However, specific feature comparisons are not verified.

What are the best alternatives to Seed-Coder?

Alternatives to Seed-Coder include other open-source code LLMs such as Code Llama, StarCoder, and DeepSeek Coder. These models also offer code generation and completion capabilities. The best choice depends on specific requirements like model size, context length, and licensing. Based on publicly available information, no direct comparison is provided.

Is Seed-Coder safe for general business use?

Operationally, Seed-Coder is open-source and can be used for business purposes, but safety depends on deployment and data handling. The model itself does not train on user data by default, but businesses should review the license and implement appropriate security measures. Based on publicly available information, no specific safety certifications are provided.

Does Seed-Coder have an API?

Not verified: API availability is not publicly verified for Seed-Coder. 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 Seed-Coder work?

Commercially, Seed-Coder works by leveraging large language models trained on code data. It uses data filtering centered around models to reduce manual work and autonomously manages code training data. The model supports up to 32K context input and multi-GPU distributed reasoning. Users can download the model from GitHub, configure it with example code, and input coding prompts to generate code.

What does Seed-Coder do?

Technically, Seed-Coder generates code, completes code snippets, and assists with code refactoring and optimization. It can produce efficient sorting algorithms and improve development efficiency. The model is designed for various coding tasks and is suitable for developers, data scientists, and AI researchers. It provides base, instruction, and reasoning models to meet different needs.

Does Seed-Coder train on user data?

There is no explicit information about whether Seed-Coder trains on user data. As an open-source model, it is typically used for inference, not training. However, the data training policy is not publicly available. Users should assume that any data sent to the model could be processed, but not necessarily used for training. This is not verified.

What are the disadvantages of Seed-Coder?

Potential disadvantages include the need for significant computational resources to run the model, especially for larger variants. The model may require technical expertise to set up and deploy. Additionally, as an open-source model, it may lack dedicated support or a managed API. Based on publicly available information, no specific limitations are documented.

Who should not use Seed-Coder?

For buyers, Seed-Coder may not be suitable for users without technical expertise in machine learning or coding, as it requires model configuration and deployment. Organizations needing a fully managed API with support might find it challenging. Additionally, those with strict data privacy requirements should carefully evaluate the model's data handling. Based on publicly available information, no specific exclusions are stated.

Seed-Coder

Seed-Coder is a family of lightweight open-source code LLMs comprising base, instruct and reasoning models, developed by ByteDance Seed.

Researched with AI|Data refreshed 22 hours ago|1 sources|Updated 1 time this year

Data refreshed 22 hours ago1 sources

Code assistantModel training and deployment

Seed-Coder is a family of lightweight open-source code LLMs comprising base, instruct and reasoning models, developed by ByteDance Seed.

Researched with AI|Data refreshed 22 hours ago|1 sources|Updated 1 time this year

Data refreshed 22 hours ago1 sources

Code assistantModel training and deployment

Unlock 30-sec verdict

Starting price

Free

Best for

Code assistant

Free trial

✓ Free tier

Monthly traffic

—

Social listening

—

First indexed

—

Explore options

See how Seed-Coder compares

Compare alternatives Visit site

Seed-Coder is a practical fit for buyers evaluating Code assistant, Model training and deployment, and #open-source tools.

Who is it for?: AI researchers who need an open-weight code LLM to fine-tune or benchmark; better than proprietary APIs like GitHub Copilot for full weight access and offline reproducibility.
Pricing: free

Product information

What this product does

Seed-Coder is a family of lightweight open-source code LLMs comprising base, instruct and reasoning models, developed by ByteDance Seed. - ByteDance-Seed/Seed-Coder

Sourced from github.com

Works With

Platforms

Problem Solved

What problem does Seed-Coder solve?

Company & Maker

Who built Seed-Coder?

Company: ByteDance Seed
Product: Seed-Coder is a family of lightweight open-source code LLMs comprising base, instruct and reasoning models, developed by ByteDance Seed. - ByteDance-Seed/Seed-Coder
HQ: Beijing
Founded: 2012
Team size: 5000+
Live since: Apr 2025
Founders: Zhang Yiming - Founder & Chairman
Liang Rubo - Founder & CEO

Some facts above are based on publicly available information and may have changed.

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

Researched with AI · Data refreshed 22 hours ago · How we score

Full Report Access

Unlock the verified intelligence before you decide

or 10 for $24.99 -> $2.50 each

Seed-Coder is a family of open-source code LLMs (base, instruct, reasoning variants) from ByteDance Seed, with 32K/64K context and vLLM multi-GPU support. It is used by developers, data scientists, and AI researchers who need code generation, completion, and refactoring capabilities they can self-host.

Who should use

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

Best-fit workflows

Generates sorting algorithms and standard data-structure implementations from natural-language prompts.
Completes inline code in an IDE or editor via a self-hosted inference endpoint.
Refactors and optimizes existing functions in software engineering projects.
Serves code-completion requests across multiple GPUs using vLLM for concurrent developer traffic.
Produces reasoning traces for multi-step coding problems using the reasoning model variant.
AI researchers who need an open-weight code LLM to fine-tune or benchmark; better than proprietary APIs like GitHub Copilot for full weight access and offline reproducibility.

Inferred from public dataView source →

Hours to days for vLLM serving; days to weeks for fine-tuning or full training reproductionDeveloper requiredSoloSmall teamMid-marketEnterprise

Pricing reality

Vendor stated
Open-source model weights; no per-seat license fee stated.
Actual cost
Real cost is GPU compute for inference or training, plus engineering time for deployment and data-pipeline setup.
Hidden costs
3 hidden cost warnings — unlock to view

Migration effort from 5 platforms analyzed

Pricing reality

Last updated Oct 2026

Vendor pricing page

Starting price

Free

No plan rows linked yet

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 listed starting price instead of fabricating plan names or $0 tiers.

General buyer tips

Common across software subscriptions, not findings about this product.

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

Starting price has not been verified from a linked pricing source yet.

View live pricing Compare alternatives Open canonical review

Prices change often — confirm on the vendor's site before you buy.

Compare this product in-line

Start with a suggested alternative or type another tool to jump into a side-by-side comparison.

Engagement signals (30d)

Based on 6 linked public signals.

Mindber Activity Score™

Score locked

How we calculate this Claim this profile Report inaccuracy

HOW THIS TOOL SCORES

Scores compare this tool with 17 similar tools in Code assistant. Use it to judge Innovation and Capability before you shortlist.

Updated Oct 16, 2026Baseline refreshed Jun 24, 2026

How we score →

Innovation Index™

Is it new, different, and easy to understand?

Bottom 25%6.8/10

Is this idea actually new?6.0/10

Does it stand out from similar tools?6.0/10

Can buyers understand it quickly?8.0/10

Medium confidence (65%) - some sub-scores have thin evidence.What this means →

Functionality Score™

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

Top 10%6.6/10

Are the main features deep enough?7.0/10

Will it fit into your stack?5.0/10

Can users trust it to stay usable?5.6/10

Does it cover the core jobs?8.0/10

Medium confidence (50%) - some sub-scores have thin evidence.What this means →

Category baseline: Code assistantInnovation median: 7.7Capability median: 4.4n = 17

Data sources

Features detected: 13Engagement: declining (39/100)Homepage load: 0.7sBaseline 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 Seed-Coder: 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.

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

FAQ / Q&AMindber Faq Ai

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

Have you used Seed-Coder? Earn credits.

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.

Write a verified review (200+ words) → earn 1 credit

Share the setup context, what worked, and what broke. Mindber rewards specific, evidence-backed reviews instead of one-line praise.

Write verified review

Spot incorrect data? Submit a correction → earn 1 credit

Flag stale pricing, wrong traffic signals, or broken links and the editorial team will re-verify the record.

Submit correction

Maker access, comments, ratings, and verification requests remain available inyour dashboard.

Community audits

Member opinion — not a Mindber assessment

Be the first to audit Seed-Coder

No member audits yet. Rate it from 1 to 5 and share what worked and what didn't.

Write the first auditVendor? Reply here

About this data: Activity signals are aggregated from public sources. Intelligence cards are AI-generated from public sources; only the Fit, Concerns and Who-not-for sections are approved by a Mindber editor before publication. Scores reflect public update frequency only — not product quality, company health, or investment suitability. Data may lag by up to 7 days. Learn more

Seed-Coder

Seed-Coder is a family of lightweight open-source code LLMs comprising base, instruct and reasoning models, developed by ByteDance Seed.

Researched with AI|Data refreshed 22 hours ago|1 sources|Updated 1 time this year

Data refreshed 22 hours ago1 sources

Code assistantModel training and deployment

Seed-Coder is a family of lightweight open-source code LLMs comprising base, instruct and reasoning models, developed by ByteDance Seed.

Researched with AI|Data refreshed 22 hours ago|1 sources|Updated 1 time this year

Data refreshed 22 hours ago1 sources

Code assistantModel training and deployment

Unlock 30-sec verdict

Starting price

Free

Best for

Code assistant

Free trial

✓ Free tier

Monthly traffic

—

Social listening

—

First indexed

—

Explore options

See how Seed-Coder compares

Compare alternatives Visit site

Seed-Coder is a practical fit for buyers evaluating Code assistant, Model training and deployment, and #open-source tools.

Who is it for?: AI researchers who need an open-weight code LLM to fine-tune or benchmark; better than proprietary APIs like GitHub Copilot for full weight access and offline reproducibility.
Pricing: free

Product information

What this product does

Seed-Coder is a family of lightweight open-source code LLMs comprising base, instruct and reasoning models, developed by ByteDance Seed. - ByteDance-Seed/Seed-Coder

Sourced from github.com

Works With

Platforms

Problem Solved

What problem does Seed-Coder solve?

Company & Maker

Who built Seed-Coder?

Company: ByteDance Seed
Product: Seed-Coder is a family of lightweight open-source code LLMs comprising base, instruct and reasoning models, developed by ByteDance Seed. - ByteDance-Seed/Seed-Coder
HQ: Beijing
Founded: 2012
Team size: 5000+
Live since: Apr 2025
Founders: Zhang Yiming - Founder & Chairman
Liang Rubo - Founder & CEO

Some facts above are based on publicly available information and may have changed.

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

Researched with AI · Data refreshed 22 hours ago · How we score

Full Report Access

Unlock the verified intelligence before you decide

or 10 for $24.99 -> $2.50 each

Who should use

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

Best-fit workflows

Generates sorting algorithms and standard data-structure implementations from natural-language prompts.
Completes inline code in an IDE or editor via a self-hosted inference endpoint.
Refactors and optimizes existing functions in software engineering projects.
Serves code-completion requests across multiple GPUs using vLLM for concurrent developer traffic.
Produces reasoning traces for multi-step coding problems using the reasoning model variant.
AI researchers who need an open-weight code LLM to fine-tune or benchmark; better than proprietary APIs like GitHub Copilot for full weight access and offline reproducibility.

Inferred from public dataView source →

Hours to days for vLLM serving; days to weeks for fine-tuning or full training reproductionDeveloper requiredSoloSmall teamMid-marketEnterprise

Pricing reality

Vendor stated
Open-source model weights; no per-seat license fee stated.
Actual cost
Real cost is GPU compute for inference or training, plus engineering time for deployment and data-pipeline setup.
Hidden costs
3 hidden cost warnings — unlock to view

Migration effort from 5 platforms analyzed

Pricing reality

Last updated Oct 2026

Vendor pricing page

Starting price

Free

No plan rows linked yet

General buyer tips

Common across software subscriptions, not findings about this product.

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

Starting price has not been verified from a linked pricing source yet.

View live pricing Compare alternatives Open canonical review

Prices change often — confirm on the vendor's site before you buy.

Compare this product in-line

Start with a suggested alternative or type another tool to jump into a side-by-side comparison.

Engagement signals (30d)

Based on 6 linked public signals.

Mindber Activity Score™

Score locked

How we calculate this Claim this profile Report inaccuracy

HOW THIS TOOL SCORES

Scores compare this tool with 17 similar tools in Code assistant. Use it to judge Innovation and Capability before you shortlist.

Updated Oct 16, 2026Baseline refreshed Jun 24, 2026

How we score →

Innovation Index™

Is it new, different, and easy to understand?

Bottom 25%6.8/10

Is this idea actually new?6.0/10

Does it stand out from similar tools?6.0/10

Can buyers understand it quickly?8.0/10

Medium confidence (65%) - some sub-scores have thin evidence.What this means →

Functionality Score™

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

Top 10%6.6/10

Are the main features deep enough?7.0/10

Will it fit into your stack?5.0/10

Can users trust it to stay usable?5.6/10

Does it cover the core jobs?8.0/10

Medium confidence (50%) - some sub-scores have thin evidence.What this means →

Category baseline: Code assistantInnovation median: 7.7Capability median: 4.4n = 17

Data sources

Features detected: 13Engagement: declining (39/100)Homepage load: 0.7sBaseline 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 Seed-Coder: 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.

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

FAQ / Q&AMindber Faq Ai

HOW WE VERIFY

Scoring methodologyActivity Signals methodologyReport a data issue

COMMUNITY CREDITS

Have you used Seed-Coder? Earn credits.

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.

Write a verified review (200+ words) → earn 1 credit

Share the setup context, what worked, and what broke. Mindber rewards specific, evidence-backed reviews instead of one-line praise.

Write verified review

Spot incorrect data? Submit a correction → earn 1 credit

Flag stale pricing, wrong traffic signals, or broken links and the editorial team will re-verify the record.

Submit correction

Maker access, comments, ratings, and verification requests remain available inyour dashboard.

Community audits

Member opinion — not a Mindber assessment

Be the first to audit Seed-Coder

No member audits yet. Rate it from 1 to 5 and share what worked and what didn't.

Write the first auditVendor? Reply here

Seed-Coder

See how Seed-Coder compares

What this product does

What problem does Seed-Coder solve?

Who built Seed-Coder?

Unlock the verified intelligence before you decide

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

Sources and methodology

Have you used Seed-Coder? Earn credits.

Community audits

Seed-Coder

See how Seed-Coder compares

What this product does

What problem does Seed-Coder solve?

Who built Seed-Coder?

Unlock the verified intelligence before you decide

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

Sources and methodology

Have you used Seed-Coder? Earn credits.

Community audits

Seed-Coder

See how Seed-Coder compares

What this product does

What problem does Seed-Coder solve?

Who built Seed-Coder?

Unlock the verified intelligence before you decide

Who should use

Pricing reality

Compare this product in-line

Engagement signals (30d)

Innovation Index™

Functionality Score™

Traffic & search proof

Google Trends live interest

FAQ

What is Seed-Coder?

How much does Seed-Coder cost in 2026?

Is Seed-Coder free?

Seed-Coder vs alternatives in this category: what is the difference?

What are the best alternatives to Seed-Coder?

Is Seed-Coder safe for general business use?

Does Seed-Coder have an API?

How does Seed-Coder work?

What does Seed-Coder do?

Does Seed-Coder train on user data?

What are the disadvantages of Seed-Coder?

Who should not use Seed-Coder?

Have you used Seed-Coder? Earn credits.

Community audits

Seed-Coder

See how Seed-Coder compares

What this product does

What problem does Seed-Coder solve?

Who built Seed-Coder?

Unlock the verified intelligence before you decide

Who should use

Pricing reality

Compare this product in-line

Engagement signals (30d)

Innovation Index™

Functionality Score™

Traffic & search proof

Google Trends live interest

FAQ

What is Seed-Coder?

How much does Seed-Coder cost in 2026?

Is Seed-Coder free?

Seed-Coder vs alternatives in this category: what is the difference?

What are the best alternatives to Seed-Coder?

Is Seed-Coder safe for general business use?

Does Seed-Coder have an API?

How does Seed-Coder work?

What does Seed-Coder do?

Does Seed-Coder train on user data?

What are the disadvantages of Seed-Coder?

Who should not use Seed-Coder?

Have you used Seed-Coder? Earn credits.

Community audits