Compare · ModelsLive · 2 picked · head to head
GPT-4o-mini vs Qwen2.5 Coder 32B Instruct
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Qwen2.5 Coder 32B Instruct wins on 2/4 benchmarks
Qwen2.5 Coder 32B Instruct wins 2 of 4 shared benchmarks. Leads in coding.
Category leads
coding·Qwen2.5 Coder 32B Instructmath·GPT-4o-miniknowledge·GPT-4o-mini
Hype vs Reality
Attention vs performance
GPT-4o-mini
#268 by perf·no signal
Qwen2.5 Coder 32B Instruct
#107 by perf·#1 by attention
Best value
GPT-4o-mini
1.2x better value than Qwen2.5 Coder 32B Instruct
GPT-4o-mini
78.1 pts/$
$0.38/M
Qwen2.5 Coder 32B Instruct
64.0 pts/$
$0.83/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
4 benchmarks · 2 models
GPT-4o-miniQwen2.5 Coder 32B Instruct
Aider · Code Editing
Qwen2.5 Coder 32B Instruct leads by +15.8
GPT-4o-mini
55.6
Qwen2.5 Coder 32B Instruct
71.4
Aider polyglot
Qwen2.5 Coder 32B Instruct leads by +12.8
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
GPT-4o-mini
3.6
Qwen2.5 Coder 32B Instruct
16.4
GSM8K
GPT-4o-mini leads by +0.2
Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve.
GPT-4o-mini
91.3
Qwen2.5 Coder 32B Instruct
91.1
MMLU
GPT-4o-mini leads by +3.6
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
GPT-4o-mini
75.7
Qwen2.5 Coder 32B Instruct
72.1
Full benchmark table
| Benchmark | GPT-4o-mini | Qwen2.5 Coder 32B Instruct |
|---|---|---|
Aider · Code Editing | 55.6 | 71.4 |
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 3.6 | 16.4 |
GSM8K Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve. | 91.3 | 91.1 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 75.7 | 72.1 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.15 | $0.60 | 128K tokens (~64 books) | $2.62 | |
| $0.66 | $1.00 | 33K tokens (~16 books) | $7.45 |