AI model comparison
Qwen2.5 Coder 32B Instruct vs GPT-3.5 Turbo
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen).
- Input / 1M
- $0.66
- Output / 1M
- $1
- Context
- 33K
OpenAI
GPT-3.5 Turbo
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks.
- Input / 1M
- $0.50
- Output / 1M
- $1.50
- Context
- 16K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-3.5 Turbo
1.0x cheaper for a typical chat
Higher intelligence score
Qwen2.5 Coder 32B Instruct
6.7 vs 5.5 on Artificial Analysis
Larger context window
Qwen2.5 Coder 32B Instruct
33K vs 16K tokens
Newer release
Qwen2.5 Coder 32B Instruct
Released November 11, 2024
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen2.5 Coder 32B Instruct6.7GPT-3.5 Turbo5.5Coding index
Qwen2.5 Coder 32B InstructNot availableGPT-3.5 Turbo10.7Agentic index
Qwen2.5 Coder 32B InstructNot availableGPT-3.5 TurboNot availablePricing
Qwen2.5 Coder 32B Instruct vs GPT-3.5 Turbo API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen2.5 Coder 32B Instruct | GPT-3.5 Turbo |
|---|---|---|
| Input tokensPer 1M tokens | $0.66 | $0.50 |
| Output tokensPer 1M tokens | $1 | $1.50 |
| Cached input (read)Per 1M tokens | Not available | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen2.5 Coder 32B Instruct$1.82GPT-3.5 Turbo$1.75Coding task
30K in, 4K out
Qwen2.5 Coder 32B Instruct$23.80GPT-3.5 Turbo$21Long document summary
150K in, 2K out
Qwen2.5 Coder 32B Instruct$101GPT-3.5 Turbo$78Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen2.5 Coder 32B Instruct | GPT-3.5 Turbo |
|---|---|---|
| Context window | 33K tokens | 16K tokens |
| Max output | 29K tokens | 4K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | November 11, 2024 | May 28, 2023 |
Features
Supported features
API features available for each model.
| Metric | Qwen2.5 Coder 32B Instruct | GPT-3.5 Turbo |
|---|---|---|
| Tool calling | Not supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen2.5 Coder 32B InstructView full model details- Qwen2.5 Coder 32B Instruct vs Qwen3 Next 80B A3B Instruct
- Qwen2.5 Coder 32B Instruct vs Qwen3 VL 30B A3B Thinking
- Qwen2.5 Coder 32B Instruct vs Qwen3 Coder Next
- Qwen2.5 Coder 32B Instruct vs Qwen3 VL 30B A3B Instruct
- Qwen2.5 Coder 32B Instruct vs Qwen2.5 72B Instruct
- Qwen2.5 Coder 32B Instruct vs Sonar
- Qwen2.5 Coder 32B Instruct vs Qwen3 30B A3B
- Qwen2.5 Coder 32B Instruct vs Qwen3 30B A3B Instruct 2507
- Qwen2.5 Coder 32B Instruct vs Hermes 3 405B Instruct
- Qwen2.5 Coder 32B Instruct vs Qwen3 VL 8B Instruct
- Qwen2.5 Coder 32B Instruct vs GPT-4o-mini
- Qwen2.5 Coder 32B Instruct vs Hermes 3 70B Instruct
Our take
GPT-3.5 Turbo is 1.0x cheaper for a typical chat. Qwen2.5 Coder 32B Instruct scores higher on the Artificial Analysis Intelligence Index (6.7 vs 5.5). Qwen2.5 Coder 32B Instruct has the larger context window (33K vs 16K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen2.5 Coder 32B Instruct or GPT-3.5 Turbo cheaper?
GPT-3.5 Turbo is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-3.5 Turbo costs $0.50 per 1M input tokens and $1.50 per 1M output tokens, while Qwen2.5 Coder 32B Instruct costs $0.66 per 1M input tokens and $1 per 1M output tokens.
Which has a bigger context window, Qwen2.5 Coder 32B Instruct or GPT-3.5 Turbo?
Qwen2.5 Coder 32B Instruct supports up to 33K tokens of context, compared with 16K for GPT-3.5 Turbo.
Is Qwen2.5 Coder 32B Instruct smarter than GPT-3.5 Turbo?
On the Artificial Analysis Intelligence Index, Qwen2.5 Coder 32B Instruct scores 6.7 and GPT-3.5 Turbo scores 5.5, putting Qwen2.5 Coder 32B Instruct ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen2.5 Coder 32B Instruct and GPT-3.5 Turbo at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen2.5 Coder 32B Instruct and GPT-3.5 Turbo answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen2.5 Coder 32B Instruct and GPT-3.5 Turbo at the same time. Compare the answers side by side and keep the best one.