Seed 2.0 pro
3663°
ByteDance | 256,000 token context | $0.50/M input, $3.00/M output. Built for the Agent era, it delivers stable performance in complex reasoning and long-horizon tasks, including multi-step planning, visual-text reasoning, video understanding, and advanced analysis.
Guides for this model
Open weights vs open source vs API-only: what you are actually allowed to do
How to choose an AI model in October 2026: the closed source news, then the open weights worth downloading
What is a GGUF file? Quantized models explained (Q4, Q8, fp8, NF4)
Captain's notes
Notes from 2026-10-13
Seed 2.0 Pro is ByteDance's closed-source frontier model built around agentic workloads: multi-step planning, long-horizon tasks, and visual-text reasoning including video understanding. A 256,000-token context window and native vision support make it one of the more capable multimodal options at its price point. It suits developers and researchers who need a model that can handle complex pipelines rather than simple one-shot queries.
Known for
- 256,000-token context window for long documents and extended conversations
- Video understanding alongside standard image and text reasoning
- Multi-step planning and long-horizon agentic task handling
- Stable performance across complex reasoning and advanced analysis tasks
Watch out for
- Closed weights only — no local deployment, no offline use, no fine-tuning.
- Output tokens cost $3.00/M; heavy agentic loops with long outputs add up fast.
- ByteDance has not published a detailed model card, so internal architecture and training data are unknown.
Prompts to try
Multi-step research plan
You are planning a competitive analysis of the electric vehicle battery market. Break the project into a sequence of research tasks, identify what data each step requires, flag where earlier outputs feed into later steps, and note which steps could run in parallel. Produce a structured plan a team could hand off to automated agents.
Video scene analysis
I'm attaching a short product demo video. Identify each distinct scene, describe what is being demonstrated in each, note any on-screen text or UI elements, and summarise the overall narrative arc of the demo in two sentences.
Long document reasoning
Here is a 200-page merger agreement. Identify the five clauses most likely to create post-closing liability for the acquirer, explain the risk each one creates, and rank them by potential financial exposure. Cite the section number for each.
Compare with
- Seed 1.8Open-weights model256,000 token context · $0.25/M input, $2.00/M output
- GPT-6 LunaAPI-only model1,050,000 token context · $0.10/M input, $0.50/M output
- GPT-5.6 LunaAPI-only model1,050,000 token context · $0.20/M input, $1.20/M output
- Claude Opus 5.5API-only model1,000,000 token context · $4.00/M input, $20.00/M output
More text models from bytedance
Questions people ask
- Can I run Seed 2.0 Pro locally?
- No. ByteDance has not released open weights, so it is API-only and cannot be run on your own hardware.
- What does Seed 2.0 Pro cost and how long is its context?
- Pricing is $0.50 per million input tokens and $3.00 per million output tokens, with a 256,000-token context window.
- What makes Seed 2.0 Pro different from other vision-reasoning models?
- Its explicit focus on agentic, long-horizon tasks and video understanding sets it apart from models tuned primarily for single-turn chat or static image analysis.
Captain's verdictA solid agentic and multimodal workhorse from ByteDance — worth evaluating if video understanding or long-horizon planning is on your list.
Captain writes these notes from the model's own description and model card. Prices and context sizes are the provider's at the time of writing and can change.
Ranking badge
Updated Oct 22, 2026
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How this score adds up
This model has no popularity data from any source yet, so it carries a stand-in number below 7,000° that keeps the lists complete. It never ranks above a model with data. The breakdown appears here as soon as a source reports it.
Glossary: the terms used here
- Heat score
- One number for how much a model is used and wanted right now, from 0° to 9,999°. Every list on this site that says hottest is sorted by it and nothing else.
- Floor
- The 7,000° every model with real data starts from. The scale runs from 0° to 9,999°; the part below the floor is reserved for stand-ins (models without data), so that a model with data always ranks above one without. The floor is the same for everyone and decides nothing; the degrees above it are the measurement.
- Download-equivalents
- Everything the score treats as a download, added up: downloads themselves, each torrent seeder as 1,000, each AI Horde image and each run on a generation site as one.
- Log scale
- Counting by tens, not by ones: going from 1,000 to 10,000 downloads adds the same degrees as going from 10,000 to 100,000. It keeps giants from crowding out everything else.
- Likes
- Thumbs up and likes from every source, worth half a download each on the log scale.
- Adoption rate
- How many downloads a day a model gets right now, from the difference between two readings of a source. A quarter of the weight of the download term.
- Measured and estimated
- Measured means two readings of a source exist and the difference is real. Estimated means only today's total is known and the past is spread over the model's life; the site says which one it is showing.
- Seeder
- Someone who keeps a copy of the weights online for others to download over a torrent, or a hosted mirror doing the same. Each one counts as 1,000 downloads.
- AI Horde
- A volunteer network that generates images for free on donated computers. The number of images it has made with a model is public, and each counts as one download.
- Generation sites
- Sites that host their own copies of a model and let people generate with it, such as PixAI, SeaArt and Yodayo. Their downloads count like Civitai's and each generation run as one download.
- OpenRouter tokens
- A text model served through an API, such as Claude or GPT, has no weights to download, so its usage is measured in tokens: the pieces of text it read and wrote through OpenRouter, a gateway many apps use, over the last 30 days. Every 10,000,000 tokens count as one download. Source: OpenRouter (openrouter.ai/rankings), CC BY 4.0.
- Full model (checkpoint)
- The weights themselves, the file that generates on its own. It gets a bonus because add-ons depend on it.
- LoRA and embedding
- Small add-on files that steer someone else's weights toward a style, a character or a concept. They cannot run alone.
- Family and weights
- The base a model is built on, such as SD 1.5, SDXL, Flux or Wan. Every model inherits the release date of its family's weights.
- Age
- Degrees taken off for how long ago the family's weights came out: 150° a year, up to 750°. It keeps old downloads that had years to pile up from freezing the top of the list.
- Family boost
- A small, bounded nudge for LoRAs of a family this site is pushing forward right now, always listed in the breakdown.
- Stand-in score
- A stable number below the floor given to a model no source reports on yet, so lists stay complete. It never ranks above a model with data.
- New! (grace period)
- A model less than 7 days old shows New! instead of a score and holds no place in the rankings. Its score is computed from day one, but a model one day old grows faster than anything, so without the wait the week's #1 would always be whatever came out yesterday rather than what held up for a week.
- Trend
- How a model's growth over a period compares with the typical model's growth over the same period. Faster than typical reads as a rise, slower as a fall.
- Typical model
- The middle of the catalog: half the models with a figure grew faster over the period, half slower.
Seed 2.0 pro is a text model for the Text / LLM family listed on ModelTrends.ai, a read-only catalog of open source AI image, video and text models. Compare it with other Text / LLM models and check its heat score to see how it is trending.
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