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GPT-4o-mini vs Qwen 2.5-Coder 32B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-4o-mini and Qwen 2.5-Coder 32B.

OpenAI

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

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Alibaba

Qwen 2.5-Coder 32B

Qwen 2.5-Coder 32B is Alibaba's specialized code generation model built on the Qwen 2.5 architecture, fine-tuned on a massive corpus of code repositories, technical documentation, and programming discussions. It achieves competitive results against GPT-4o and Claude Sonnet on coding benchmarks like HumanEval, MBPP, and LiveCodeBench while supporting a broad range of programming languages from Python and JavaScript to Rust and Go. Its 128K context window enables whole-repository analysis and complex multi-file refactoring tasks.

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Technical Specifications

SpecificationGPT-4o-miniQwen 2.5-Coder 32B
ProviderOpenAIAlibaba
Context Window128,000 tokens131,072 tokens
Agent Suitability82/10089/100
Time to First Token (TTFT)150 ms260 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-182025-11-12

API Pricing Comparison

Input Price per Million Tokens

GPT-4o-mini

$0.15

Qwen 2.5-Coder 32B

$0.35

Output Price per Million Tokens

GPT-4o-mini

$0.60

Qwen 2.5-Coder 32B

$0.70

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8200.0%vsN/A
GPT-4o-mini
Qwen 2.5-Coder 32B
HumanEvalPython coding & logic synthesis
8400.0%vsN/A
GPT-4o-mini
Qwen 2.5-Coder 32B
MATHComplex mathematical problem solving
7020.0%vsN/A
GPT-4o-mini
Qwen 2.5-Coder 32B
GPQAGraduate-level expert reasoning
4500.0%vsN/A
GPT-4o-mini
Qwen 2.5-Coder 32B
HellaSwagCommonsense reasoning and inference
8470.0%vsN/A
GPT-4o-mini
Qwen 2.5-Coder 32B
MT-BenchMulti-turn conversation flow quality
860.0%vsN/A
GPT-4o-mini
Qwen 2.5-Coder 32B

GPT-4o-mini Quirks & Gotchas

  • โ–ธUltra-low latency โ€” best TTFT in the OpenAI lineup
  • โ–ธTool calling limited to single-step โ€” not suitable for complex agentic pipelines

Qwen 2.5-Coder 32B Quirks & Gotchas

  • โ–ธStrong code generation across 40+ languages โ€” excellent for multi-language repos
  • โ–ธAvailable via Alibaba Cloud API or self-hosted