Model Comparison
GPT-3.5 Turbo
vs. Qwen2.5 Coder Instruct 32B
Comparing 2 AI models · 7 benchmarks · OpenAI, Alibaba
Recommended Pick
Al Qwen2.5 Coder Instruct 32B 9 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
Qwen2.5 Coder Instruct 32B
$0.00/1M input price
Best Reasoning
Qwen2.5 Coder Instruct 32B
29.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-3.5 Turbo
10.7 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Qwen2.5 Coder Instruct 32B is ∞x cheaper on input tokens than GPT-3.5 Turbo.
Reasoning gap
Qwen2.5 Coder Instruct 32B leads GPT-3.5 Turbo by 1.8 points on reasoning.
Top-pick rationale
Qwen2.5 Coder Instruct 32B wins 9 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-3.5 Turbo
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen2.5 Coder Instruct 32B
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op GPT-3.5 Turbo | Top Pick Al Qwen2.5 Coder Instruct 32B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.50/1M | $0.00/1M |
| Output Cost | $1.50/1M | $0.00/1M |
| Blended (3:1) | $0.75/1M | — |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Nov 30, 2022 | Nov 11, 2024 |
| Performance & Speed | ||
| Throughput | 147.4 tok/s | — |
| TTFT | 925ms | — |
| Latency | 925ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 27.6 | 29.4 |
| Intelligence | 9.0 | 12.9 |
| Coding | 10.7 | — |
| Standard Benchmarks | ||
| GPQA | 29.7% | 41.7% |
| MMLU Pro | 46.2% | 63.5% |
| HLE | — | 3.8% |
| LiveCodeBench | — | 29.5% |
| MATH 500 | 44.1% | 76.7% |
| AIME (Original) | — | 12.0% |
| SciCode | — | 27.1% |
Key Takeaways
Qwen2.5 Coder Instruct 32B offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen2.5 Coder Instruct 32B has the strongest reasoning profile with a 29.4 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-3.5 Turbo reaches a 10.7 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GPT-3.5 Turbo
- Code generation
- Software development
Qwen2.5 Coder Instruct 32B
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
