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Doubao Seed 2.1 Pro

bytedance-seed·bytedance-seed/doubao-seed-2.1-pro·GA·Closed·seed series·NEW
Higher-capability model in the Doubao Seed 2.1 family for agentic coding, long-context analysis, complex instruction following, and productivity workflows. Supports a 256k context window and up to 128k output tokens. Note: privacy and logging guarantees may be limited.

Doubao Seed 2.1 Pro by bytedance-seed is currently listed from a single provider. Its reference price is $1.00 per 1M input tokens and $5.00 per 1M output tokens.

The context window is 256,000 tokens, with an output limit of 128,000 tokens.

Specs & pricing

Input / output per 1M tokens
Reference price·NanoGPT
$1.00 / $5.00
Blended $2.00 · Cache read $0.50
Lowest paid·NanoGPTGateway
$1.00 / $5.00
Blended $2.00
Context
256,000
Output limit
128,000
Knowledge cutoff
—
Released / updated
2026-06-23 / 2026-06-23
Capabilities
ReasoningTool useStructured output? TemperatureAttachments
Modalities
Text

Available at 1 providers1 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
NanoGPTGateway$1.00$5.00$0.50—256,000128,000

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1NanoGPT$390.00
The cheapest paid channel is the only channel.

Price historyone sample accumulated per data sync

Input list $1.00Output list $5.00Min blended $2.00

Price history accumulates from each data sync; currently only 1 sample(s) (2026-09-20). Each future sync adds a point, and once accumulated a line is drawn here.

Related models

byByteDance Seed 2.1 Turbosame series$0.50 / $2.50bySeedance 2.5same series—byDoubao Seed Charactersame series$0.118 / $0.295Qwen3-Coder 30B-A3B Instructcheaper alternative$0.216 / $0.861Qwen3-Next 80B-A3B Instructcheaper alternative$0.144 / $0.574Qwen3 Coder Nextcheaper alternative$0.50 / $1.20Qwen3 VL 235B A22B Instructcheaper alternative$0.53 / $2.66
Data partly from models.dev (MIT) · NanoGPT official docs ↗