Last refreshed 2026-05-01. Next refresh: weekly.
Why use DeepSeek V3.2 on NVIDIA NIM?
NVIDIA NIM offers DeepSeek V3.2 with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare DeepSeek V3.2 across 5 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Docs fallbackInstall
Use the provider REST API or SDKAuth
Create a provider API keyCall
model: deepseek-ai/deepseek-v3_2Model ID
deepseek-ai/deepseek-v3_2Request example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
deepseek-ai/deepseek-v3_2.Gotchas
- Use provider model ID "deepseek-ai/deepseek-v3_2", not the LLMReference slug "deepseek-v3.2".
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 | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
Capabilities
Structured OutputsCode Execution
About DeepSeek V3.2
DeepSeek V3.2 available on AWS Bedrock
FAQ
What is the context window for DeepSeek V3.2 on NVIDIA NIM?
DeepSeek V3.2 supports a 160,000 token context window on NVIDIA NIM.
How does NVIDIA NIM compare to other DeepSeek V3.2 providers?
DeepSeek V3.2 is available from 5 providers. The cheapest input pricing is $0.252/1M tokens from OpenRouter.
What API model ID do I use for DeepSeek V3.2 on NVIDIA NIM?
Use the model ID deepseek-ai/deepseek-v3_2 when calling NVIDIA NIM's API.
Who created DeepSeek V3.2?
DeepSeek V3.2 was created by DeepSeek as part of the DeepSeek V3 model family.
Is DeepSeek V3.2 open source?
DeepSeek V3.2 is open source according to the seed data.
Model Specs
Released2025-01-01
Parameters671B
Context160K
ArchitectureDecoder Only