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Model details

Seed 1.6 Vision

Seed 1.6 Vision belongs to ByteDance's Seed family of multimodal models, designed to process combined image and text inputs while producing text-based outputs. Independent gateway documentation indicates that the Seed 1.6 line distinguishes itself by offering configurable reasoning behavior, letting callers toggle between thinking and non-thinking modes depending on whether deeper deliberation or faster response is desired for a given task. This dual-mode design reflects a broader trend in frontier multimodal systems toward giving developers explicit control over the inference-time reasoning budget.

Positioned within ByteDance's vision-capable model family, Seed 1.6 Vision is suited for practical workloads that require grounded interpretation of visual content alongside natural language understanding, such as document analysis, visual question answering, and structured extraction from images. Third-party routing listings expose the broader Seed 1.6 family with a large that quick-info value window and a capability profile spanning vision input, tool use, reasoning, and structured output, making the vision variant a reasonable choice for agentic pipelines and multimodal assistants that need to chain perception with downstream tool calls or JSON-constrained responses.

Volcengine Arkdoubao-seed-1-6-vision-250815seed

Quick Info

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Provider
Volcengine Ark
Model key
doubao-seed-1-6-vision-250815
Release date
Aug 15, 2025
Last updated
Aug 15, 2025
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.11875
Output token cost
$1.18747

Limits

Output tokens
32,000 tokens
Context window
256,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Seed 1.6 Vision

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CoverageBenchmark

The CodeSOTA OCRBench v2 leaderboard page lists "seed-1.6-vision" as a model entry, appearing in the Overall (English) section with a score of 62 (truncated in the excerpt as "62."), fetched from the CodeSOTA API on 2026-04-20. The candidate page explicitly names this exact variant in its English OCR benchmark table al This is a third-party benchmark aggregator leaderboard rather than a first-party ByteDance or Volcengine release note or model documentation. The snippet is truncated, so the precise score and full rank are not fully visible; the evidence confirms the model's participation in OCRBench v2 English evaluation but provides

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