Last refreshed 2026-09-24. Next refresh: weekly.
Why use DeepSeek V3.2 on Featherless?
Featherless offers DeepSeek V3.2 with pay-as-you-go pricing at $0.26/1M input tokens. Featherless is a serverless inference provider for a large catalog of third-party open text-generation models (40,000+).
Compare DeepSeek V3.2 across 8 providers to find the best fit for your use caseInput / 1M
$0.264
Output / 1M
$0.41
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FEATHERLESS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",Model ID
deepseek-ai/DeepSeek-V3.2Request example
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.featherless.ai/v1",
api_key=os.environ["FEATHERLESS_API_KEY"],
)
response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-V3.2",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "deepseek-ai/DeepSeek-V3.2", not the LLMReference slug "deepseek-v3.2".
- Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.
- The examples expect FEATHERLESS_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 | $0.26 |
| Output tokens | $0.41 |
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