Last refreshed 2026-05-20. 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 8 providers to find the best fit for your use caseInput / 1M
-
Output / 1M
-
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 | — | — |
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.
Model Specs
Released2025-12-01
Parameters671B
Context160k
ArchitectureDecoder Only