Last refreshed 2026-05-01. Next refresh: weekly.
Why use DeepSeek R1 Distill Qwen-7B on NVIDIA NIM?
NVIDIA NIM offers DeepSeek R1 Distill Qwen-7B with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare DeepSeek R1 Distill Qwen-7B across 2 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-r1-distill-qwen-7bModel ID
deepseek-ai/deepseek-r1-distill-qwen-7bRequest example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
deepseek-ai/deepseek-r1-distill-qwen-7b.Gotchas
- Use provider model ID "deepseek-ai/deepseek-r1-distill-qwen-7b", not the LLMReference slug "deepseek-r1-distill-qwen-7b".
Compare DeepSeek R1 Distill Qwen-7B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.20 | $0.20 |
| NVIDIA NIM | — | — |
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
Capabilities
Reasoning
About DeepSeek R1 Distill Qwen-7B
Distilled DeepSeek R1 reasoning capabilities in Qwen-7B form factor.
FAQ
What is the context window for DeepSeek R1 Distill Qwen-7B on NVIDIA NIM?
DeepSeek R1 Distill Qwen-7B supports a 128,000 token context window on NVIDIA NIM.
How does NVIDIA NIM compare to other DeepSeek R1 Distill Qwen-7B providers?
DeepSeek R1 Distill Qwen-7B is available from 2 providers. The cheapest input pricing is $0.2/1M tokens from Fireworks AI.
What API model ID do I use for DeepSeek R1 Distill Qwen-7B on NVIDIA NIM?
Use the model ID deepseek-ai/deepseek-r1-distill-qwen-7b when calling NVIDIA NIM's API.
Who created DeepSeek R1 Distill Qwen-7B?
DeepSeek R1 Distill Qwen-7B was created by DeepSeek as part of the DeepSeek R1 model family.
Is DeepSeek R1 Distill Qwen-7B open source?
DeepSeek R1 Distill Qwen-7B is open source according to the seed data.
Model Specs
Released2025-01-20
Parameters7B
Context128K
ArchitectureDecoder Only