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NVIDIA NIM

Qwen2.5-7B-Instruct on NVIDIA NIM

Qwen2.5 · Alibaba

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Last refreshed 2026-05-01. Next refresh: weekly.

Why use Qwen2.5-7B-Instruct on NVIDIA NIM?

NVIDIA NIM offers Qwen2.5-7B-Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.

Compare Qwen2.5-7B-Instruct across 6 providers to find the best fit for your use case
Input / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: qwen/qwen2.5-7b-instruct
Model ID
qwen/qwen2.5-7b-instruct

Request example

Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID qwen/qwen2.5-7b-instruct.

Gotchas

  • Use provider model ID "qwen/qwen2.5-7b-instruct", not the LLMReference slug "qwen2.5-7b-instruct".

Compare Qwen2.5-7B-Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
DeepInfra$0.03$0.03
OpenRouter$0.04$0.10
Fireworks AI$0.20$0.20
NVIDIA NIM
Together AI$0.15$0.15
View all 6 providers →

Pricing

TypeRate
GPU Hour Rate$1.00/GPU·hr
GPU Config1xH100

Capabilities

Structured Outputs

About Qwen2.5-7B-Instruct

Instruction-tuned 7B variant combining strong reasoning with real-time inference on single GPUs, ideal for developer tools and vision applications.

FAQ

What is the context window for Qwen2.5-7B-Instruct on NVIDIA NIM?

Qwen2.5-7B-Instruct supports a 128,000 token context window on NVIDIA NIM.

How does NVIDIA NIM compare to other Qwen2.5-7B-Instruct providers?

Qwen2.5-7B-Instruct is available from 6 providers. The cheapest input pricing is $0.03/1M tokens from DeepInfra.

What API model ID do I use for Qwen2.5-7B-Instruct on NVIDIA NIM?

Use the model ID qwen/qwen2.5-7b-instruct when calling NVIDIA NIM's API.

Who created Qwen2.5-7B-Instruct?

Qwen2.5-7B-Instruct was created by Alibaba as part of the Qwen2.5 model family.

Is Qwen2.5-7B-Instruct open source?

Qwen2.5-7B-Instruct is open source under Apache 2.0 according to the seed data.

Get Started

Model Specs

Released2024-06-07
Parameters7.61B
Context128K
ArchitectureDecoder Only