Last refreshed 2026-05-01. Next refresh: weekly.
Why use Qwen2.5-Coder-32B-Instruct on NVIDIA NIM?
NVIDIA NIM offers Qwen2.5-Coder-32B-Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Qwen2.5-Coder-32B-Instruct 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: qwen/qwen2.5-coder-32b-instructModel ID
qwen/qwen2.5-coder-32b-instructRequest example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
qwen/qwen2.5-coder-32b-instruct.Gotchas
- Use provider model ID "qwen/qwen2.5-coder-32b-instruct", not the LLMReference slug "qwen2.5-coder-32b-instruct".
Compare Qwen2.5-Coder-32B-Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenRouter | $0.66 | $1.00 |
| Fireworks AI | $0.90 | $0.90 |
| NVIDIA NIM | — | — |
| Arcee AI | $0.40 | $1.20 |
| SiliconFlow | $0.18 | $0.18 |
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
Capabilities
Structured OutputsCode Execution
About Qwen2.5-Coder-32B-Instruct
Instruction-optimized 32B code flagship for production systems requiring top-tier code reasoning, generation, and multi-file analysis.
FAQ
How does NVIDIA NIM compare to other Qwen2.5-Coder-32B-Instruct providers?
Qwen2.5-Coder-32B-Instruct is available from 5 providers. The cheapest input pricing is $0.18/1M tokens from SiliconFlow.
What API model ID do I use for Qwen2.5-Coder-32B-Instruct on NVIDIA NIM?
Use the model ID qwen/qwen2.5-coder-32b-instruct when calling NVIDIA NIM's API.
Who created Qwen2.5-Coder-32B-Instruct?
Qwen2.5-Coder-32B-Instruct was created by Alibaba as part of the Qwen2.5-Coder model family.
Is Qwen2.5-Coder-32B-Instruct open source?
Qwen2.5-Coder-32B-Instruct is open source under Apache 2.0 according to the seed data.
Model Specs
Released2024-11-12
Parameters32B
ArchitectureDecoder Only