Last refreshed 2026-05-20. Next refresh: weekly.
Why use DeepSeek V3.2 on Fireworks AI?
Fireworks AI offers DeepSeek V3.2 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.
Compare DeepSeek V3.2 across 8 providers to find the best fit for your use caseInput / 1M
$0.56
Output / 1M
$1.68
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
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-v3p2Request 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-v3p2",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/deepseek-v3p2", not the LLMReference slug "deepseek-v3.2".
- 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.
Compare DeepSeek V3.2 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.56 | $1.68 |
| NVIDIA NIM | — | — |
| AWS Bedrock | $0.62 | $1.85 |
| OpenRouter | $0.25 | $0.38 |
| Microsoft Foundry | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.56 |
| Output tokens | $1.68 |
Capabilities
Structured OutputsCode Execution
About DeepSeek V3.2
DeepSeek V3.2 is DeepSeek's DeepSeek V3 model. It offers a 160K-token context window with weights openly available for self-hosting and scores 70 on SWE-bench Verified.
Get Started
Model Specs
Released2025-12-01
Parameters671B
Context160k
ArchitectureDecoder Only