Seed 2.1 Turbo
Seed 2.1 Turbo is ByteDance's high-throughput, agent-capable AI model optimized for cost-sensitive production workloads with strong vision and code execution.
Get API keyWhat is Seed 2.1 Turbo?
Seed 2.1 Turbo is a proprietary, multimodal AI model released by ByteDance in June 2026 as part of the Seed2.1 family. Designed for real-world productivity, it supports vision, function calling, reasoning, web search, and code-optimized workflows with a 256K context window and low-latency throughput for scalable deployments.
Use Seed 2.1 Turbo privately on Venice
On Venice, Seed 2.1 Turbo runs with anonymized privacy — your prompts are never stored or profiled. This ensures sovereignty over sensitive workflows while retaining full access to its agent capabilities, including vision and code execution. You get uncensored, permissionless inference without sacrificing compliance or control.
What can Seed 2.1 Turbo do?
- •Optimized for agent workflows with reliable multi-step task execution across tools and environments.
- •Strong multimodal understanding, including accurate processing of complex visual and video content.
- •Efficient code generation and debugging with end-to-end delivery in enterprise development pipelines.
- •High throughput at low cost, ideal for large-scale production use where latency and token economics matter.
- •Supports web search, structured output, and multiple image inputs for rich, dynamic interactions.
- •Not open-source or open-weights — cannot be self-hosted or fine-tuned.
- •Lower benchmark performance compared to top-tier models like Claude Opus 5 or GPT-5.6 Luna in most evaluations.
- •No end-to-end encryption or TEE protection on Venice — privacy is anonymized but not encrypted in transit or at rest.
Seed 2.1 Turbo capabilities
- Tool use / function calling
- Vision (image input)
- Reasoning
- Web search
- Code-optimized
- Structured output (JSON schema)
- Audio input
- Video input
- Multiple image inputs
- Log probabilities
How to use Seed 2.1 Turbo via API
Venice exposes an OpenAI-compatible API. Swap your base URL and call seed-2-1-turbo.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "seed-2-1-turbo",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Specifications
Pricing
Billed per token on Venice: $0.63 per 1M input tokens and $3.13 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
Seed 2.1 Turbo vs alternatives
| Model | Max context | Input cost / 1M | Output cost / 1M | Open weights |
|---|---|---|---|---|
| Seed 2.1 Turbo | 256K tokens | $0.63 in · $3.13 out / 1M | $3.13 | No |
| Claude Opus 5 | 1M tokens | $6 in · $30 out / 1M | $30.00 | No |
| DeepSeek V4 Flash 0731 | 1M tokens | $0.17 in · $0.35 out / 1M | $0.35 | No |
| Google Gemma 4 31B Instruct | 256K tokens | $0.12 in · $0.36 out / 1M | $0.36 | Yes |
Balances vision, code, and agent performance at mid-tier pricing on Venice.
What is Seed 2.1 Turbo good for?
- •Automating office workflows with multi-tool orchestration and document processing.
- •Processing long-form visual data such as screenshots, diagrams, and video frames for analysis.
- •Scaling AI agents in customer support, data entry, and internal tooling with low per-token cost.
- •Enterprise software engineering tasks including requirement parsing, implementation, and debugging.
- •Applications requiring vision + web search integration, such as real-time research or content validation.
Prompting tips
- •Use clear step-by-step instructions for multi-agent tasks to maximize reliability.
- •Include image inputs with descriptive captions to improve multimodal reasoning accuracy.
- •Leverage function calling with explicit JSON schemas for structured data extraction.
- •Use web search when up-to-date information is required — the model integrates results natively.
Version history
Predecessor model
Flagship 'deep thinking' variant in the same family
CurrentCurrent — optimized for throughput and cost
Frequently asked questions
Seed 2.1 Turbo is a proprietary, multimodal AI model developed by ByteDance, released in June 2026. It is optimized for high-throughput, cost-sensitive production environments requiring vision, code execution, and agent-like task automation with a 256K context window.
On Venice, Seed 2.1 Turbo costs $0.63 per 1M input tokens and $3.13 per 1M output tokens. Cached input is billed at $0.13 per 1M tokens, making repeated queries more efficient.
No. Seed 2.1 Turbo is a proprietary model with closed weights. It is not free to use and cannot be self-hosted or modified. Access is available via API on platforms like Venice.
Yes. Seed 2.1 Turbo supports multimodal input, including multiple images and video frames, with strong spatial and temporal reasoning capabilities for visual analysis tasks.
Yes. Seed 2.1 Turbo supports function calling and tool use, enabling it to execute multi-step workflows, interact with external systems, and return structured outputs via JSON schema.
Seed 2.1 Turbo supports a 256K-token context window, allowing it to process long documents, codebases, and complex multimodal inputs in a single session.
Claude Opus 5 outperforms Seed 2.1 Turbo in most benchmarks and offers a 1M-token context window, but at significantly higher cost. Seed 2.1 Turbo is better suited for budget-conscious deployments needing vision and code integration.
Yes. Seed 2.1 Turbo has built-in web search capabilities, allowing it to retrieve and synthesize up-to-date information during inference, which enhances accuracy for real-time queries.
Related models
Run Seed 2.1 Turbo privately.
No prompt logging. No data used for training. Free to start — no credit card.
