| Signal | GPT-3.5 Turbo Instruct | Delta | Qwen2.5 Coder 32B Instruct |
|---|---|---|---|
Capabilities | 33 | +17 | |
Pricing | 98 | -1 | |
Context window size | 57 | -14 | |
Recency | 0 | -34 | |
Output Capacity | 60 | +40 | |
| Overall Result | 2 wins | of 5 | 3 wins |
Score History
35
current score
Qwen2.5 Coder 32B Instruct
right now
35.2
current score
OpenAI
Alibaba
Qwen2.5 Coder 32B Instruct saves you $134.00/month
That's $1608.00/year compared to GPT-3.5 Turbo Instruct at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo Instruct | Qwen2.5 Coder 32B Instruct | Winner |
|---|---|---|---|
| Overall Score | 35 | 35 | Qwen2.5 Coder 32B Instruct |
| Rank | #330 | #329 | Qwen2.5 Coder 32B Instruct |
| Quality Rank | #330 | #329 | Qwen2.5 Coder 32B Instruct |
| Adoption Rank | #330 | #329 | Qwen2.5 Coder 32B Instruct |
| Parameters | -- | 32B | -- |
| Context Window | 4K | 33K | Qwen2.5 Coder 32B Instruct |
| Pricing | $1.50/$2.00/M | $0.66/$1.00/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 17 | GPT-3.5 Turbo Instruct |
| Pricing | 98 | 99 | Qwen2.5 Coder 32B Instruct |
| Context window size | 57 | 72 | Qwen2.5 Coder 32B Instruct |
| Recency | 0 | 34 | Qwen2.5 Coder 32B Instruct |
| Output Capacity | 60 | 20 | GPT-3.5 Turbo Instruct |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 35/100 (rank #330), placing it in the top -13% of all 290 models tracked.
Scores 35/100 (rank #329), placing it in the top -13% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Qwen2.5 Coder 32B Instruct offers 53% better value per quality point. At 1M tokens/day, you'd spend $24.90/month with Qwen2.5 Coder 32B Instruct vs $52.50/month with GPT-3.5 Turbo Instruct - a $27.60 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Qwen2.5 Coder 32B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (33K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (35/100) correlates with better nuance, coherence, and style in long-form content
GPT-3.5 Turbo Instruct and Qwen2.5 Coder 32B Instruct are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-3.5 Turbo Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen2.5 Coder 32B Instruct
53% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo Instruct
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo Instruct
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo Instruct
Wider enterprise adoption and proven at scale
by OpenAI
by Alibaba
| Capability | GPT-3.5 Turbo Instruct | Qwen2.5 Coder 32B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Alibaba
Qwen2.5 Coder 32B Instruct saves you $2.71/month
That's 53% cheaper than GPT-3.5 Turbo Instruct at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-3.5 Turbo Instruct | Qwen2.5 Coder 32B Instruct |
|---|---|---|
| Context Window | 4K | 33K |
| Max Output Tokens | 4,096 | -- |
| Open Source | No | Yes |
| Created | Sep 28, 2023 | Nov 11, 2024 |