DeepSeek V2.5 on Fireworks AI

DeepSeek V2 · DeepSeek

ServerlessOpen Weights

Last refreshed 2026-05-22. Next refresh: weekly.

Why use DeepSeek V2.5 on Fireworks AI?

Fireworks AI offers DeepSeek V2.5 with pay-as-you-go pricing at $0.56/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.

Input / 1M
$0.56
Output / 1M
$1.68
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export FIREWORKS_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
Model ID
accounts/fireworks/models/deepseek-v2p5

Request example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="accounts/fireworks/models/deepseek-v2p5",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "accounts/fireworks/models/deepseek-v2p5", not the LLMReference slug "deepseek-v2.5".
  • Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
  • The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.

Pricing

TypePrice (per 1M)
Input tokens$0.56
Output tokens$1.68

Capabilities

JSON / Tool use

About DeepSeek V2.5

DeepSeek V2.5 is DeepSeek's DeepSeek V2 model. It offers a 128K-token context window with weights openly available for self-hosting.

Get Started

Model Specs

Released2024-07-25
Parameters238B total, 21B active (MoE)
Context128k
ArchitectureDecoder Only

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