qwen-2-5-coder-32b-instruct
Qwen2.5 Coder 32B Instruct belongs to Qwen2.5-Coder, the code-specific Qwen series formerly known as CodeQwen, which improves code generation, code reasoning and code fixing over CodeQwen1.5.
Pricing: Input 158.4 credits / 1M tokens (≈ $0.79), Output 240 credits / 1M tokens (≈ $1.20).
Prices updated
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Qwen2.5 Coder 32B Instruct API on ModelFold
Qwen2.5 Coder 32B Instruct belongs to Qwen2.5-Coder, the code-specific Qwen series formerly known as CodeQwen, which improves code generation, code reasoning and code fixing over CodeQwen1.5. Try Qwen2.5 Coder 32B Instruct in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Qwen2.5 Coder 32B Instruct API
Qwen2.5 Coder 32B Instruct at a glance
Qwen2.5 Coder 32B Instruct is a chat model from Qwen. It accepts text as input and returns text, with a context window of up to 33K tokens.
Use it without hosting anything
On ModelFold you call Qwen2.5 Coder 32B Instruct with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Qwen2.5 Coder 32B Instruct
Up to 33K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Qwen2.5 Coder 32B Instruct on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Qwen2.5 Coder 32B Instruct responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
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Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "qwen-2-5-coder-32b-instruct" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Qwen2.5 Coder 32B Instruct
AI coding assistants
Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Frequently Asked Questions
What is Qwen2.5 Coder 32B Instruct?⌄
Qwen2.5 Coder 32B Instruct belongs to Qwen2.5-Coder, the code-specific Qwen series formerly known as CodeQwen, which improves code generation, code reasoning and code fixing over CodeQwen1.5.
Which inputs does Qwen2.5 Coder 32B Instruct support?⌄
Qwen2.5 Coder 32B Instruct accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Qwen2.5 Coder 32B Instruct?⌄
Up to 33K tokens, shared between your input and the model’s output.
Does Qwen2.5 Coder 32B Instruct support function calling?⌄
Function calling is not listed for Qwen2.5 Coder 32B Instruct; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Qwen2.5 Coder 32B Instruct billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Qwen2.5 Coder 32B Instruct through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "qwen-2-5-coder-32b-instruct", using your ModelFold API key as the Bearer token.
| Input | 158.4 credits 1M tokens≈ $0.79 |
| Output | 240 credits 1M tokens≈ $1.20 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"qwen-2-5-coder-32b-instruct","messages":[{"role":"user","content":"Hello"}]}'