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DeepSeek-R1-0528

wandb · chat model

Input
$135000.0000 / 1M tokens
Output
$540000.0000 / 1M tokens
Cached input
N/A
Context
161.0K

Pricing

Item Raw value (per token) Normalized
Input 0.135 $135000.0000 / 1M tokens
Output 0.54 $540000.0000 / 1M tokens
Embedding 0.135 $135000.0000 / 1M tokens

Token limits

Context window
161.0K
Max input tokens
161.0K
Max output tokens
161.0K
Max tokens
161.0K

Capabilities

Capability Supported
Vision No
Function calling No
Parallel function calling No
Tool choice No
Prompt caching No
Reasoning No
Response schema No
System messages No
Audio input No
Audio output No
Web search No
PDF input No
Video input No

Similar models

Models with comparable pricing in the same mode (chat).

Model Provider Input Output Context Coding Features
DeepSeek-V3-0324 wandb $114000.0000 / 1M tokens $275000.0000 / 1M tokens 161.0K N/A
GLM-4.5 wandb $55000.0000 / 1M tokens $200000.0000 / 1M tokens 131.1K N/A
DeepSeek-V3.1 wandb $55000.0000 / 1M tokens $165000.0000 / 1M tokens 128.0K N/A
Qwen3-Coder-480B-A35B-Instruct wandb $100000.0000 / 1M tokens $150000.0000 / 1M tokens 262.1K N/A
Llama-3.3-70B-Instruct wandb $71000.0000 / 1M tokens $71000.0000 / 1M tokens 128.0K N/A
Llama-4-Scout-17B-16E-Instruct wandb $17000.0000 / 1M tokens $66000.0000 / 1M tokens 64.0K N/A

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "max_tokens": 161000,
  "max_input_tokens": 161000,
  "max_output_tokens": 161000,
  "input_cost_per_token": 0.135,
  "output_cost_per_token": 0.54,
  "litellm_provider": "wandb",
  "mode": "chat"
}