Model Cost Profile

ByteDance Seed: Seed 1.6

Developer: bytedance-seed

Pricing updated Mar 11, 2026

Input rank: #150Output rank: #213

Live Pricing

Input: $0.2500

Output: $2.00

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

ByteDance Seed: Seed 1.6 is designed for applications requiring extensive context management, featuring a remarkable context window of 262,144 tokens, making it suitable for complex document processing and conversational AI. With an input price of $0.25 per million tokens and an output price of $2.00 per million tokens, teams can effectively manage costs while leveraging the model for high-volume tasks such as content generation and data analysis. This pricing structure allows organizations to scale their usage according to project needs, ensuring efficient resource allocation for API-driven solutions.

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Context Window

262,144

Tokens

Input Price / 1M

$0.2500

Prompt tokens

Output Price / 1M

$2.00

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

ByteDance Seed: Seed 1.6 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.2500$1.13$2.00Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.2500

Current Output / 1M

$2.00

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for ByteDance Seed: Seed 1.6.

How much does ByteDance Seed: Seed 1.6 cost per 1M input tokens?

ByteDance Seed: Seed 1.6 input pricing is $0.2500 per 1M tokens based on the latest synced provider data.

How much does ByteDance Seed: Seed 1.6 cost per 1M output tokens?

ByteDance Seed: Seed 1.6 output pricing is $2.00 per 1M tokens based on the latest synced provider data.

What context window does ByteDance Seed: Seed 1.6 support?

ByteDance Seed: Seed 1.6 supports a context window of 262,144 tokens.

How can I compare ByteDance Seed: Seed 1.6 with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.