What is the average API cost for Qwen 2.5 Coder 32B?

Across major serverless hosts (DeepInfra, Together AI, Fireworks), Qwen 2.5 Coder 32B averages $0.18 per 1M input tokens and $0.35 per 1M output tokens.

What hardware is required to self-host Qwen 2.5 Coder 32B locally?

At 4-bit AWQ or GPTQ quantization, Qwen 2.5 Coder 32B requires approximately 20GB of VRAM, running comfortably on a single NVIDIA RTX 4090 (24GB) or Apple M-series Mac with 32GB+ RAM. For unquantized FP16 inference, a single 80GB A100 or dual RTX 3090/4090s are recommended.

💻 Open-Weights Coding Standard

Qwen 2.5 Coder 32B Pricing & Hosting

Alibaba's premier open-weights code generation model. Benchmarked at 46.5% SWE-bench Verified at less than 1/20th the cost of commercial frontier models.

Serverless Input / 1M

$0.18

DeepInfra / Together

Serverless Output / 1M

$0.35

Blended code rate

Context Window

32,768

Native tokens

SWE-bench Verified

46.5%

Beats original GPT-4

Why Qwen 2.5 Coder 32B Dominates Cline & Aider Workflows

For autonomous coding agents that make dozens of sub-calls to inspect files and test diffs, using closed models like Claude 3.7 Sonnet ($3.00/$15.00) quickly burns hundreds of dollars.

Qwen 2.5 Coder 32B provides clean diff formatting, multi-language syntax mastery (TypeScript, Go, Python, Rust, C++), and strong schema comprehension at just $0.18/M input and $0.35/M output. An entire 40-hour work week of coding with Qwen consumes less than $5 in API credits.

Frequently Asked Questions

Which hosted provider has the fastest Qwen 2.5 Coder endpoint?

Fireworks AI and DeepInfra deliver the highest tokens/sec throughput for Qwen 2.5 Coder 32B, frequently exceeding 110 tokens per second on FP8 quantized clusters.