Model comparison · Updated 17 Aug 2026
GPT-3.5 Turbo vs Qwen2.5 Coder 32B Instruct
GPT-3.5 Turbo is about 1.3× cheaper on input ($0.50 against $0.66 per 1M tokens), though Qwen2.5 Coder 32B Instruct is cheaper on output. Qwen2.5 Coder 32B Instruct has the larger context window (33K against 16K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $360 a month for GPT-3.5 Turbo and $387 for Qwen2.5 Coder 32B Instruct.
Cite
Cite this page
ModelsAtlas. “GPT-3.5 Turbo vs Qwen2.5 Coder 32B Instruct”. Retrieved 17 Aug 2026. https://modelsatlas.com/compare/openai/gpt-3-5-turbo/vs/qwen/2-5-coder-32b-instruct
Model A
by OpenAI · weights not marked open · GRIDD1
$0.50
- Source
- Our catalogue
- Retrieved
- 17 Aug 2026
Model B
by Qwen (Alibaba) · weights not marked open · GRIDD2
$0.66
- Source
- Our catalogue
- Retrieved
- 17 Aug 2026
Key numbers
Standard tier · highlighted = better
What it costs for real workloads
Monthly, standard tier, 30 days
GPT-3.5 Turbo Qwen2.5 Coder 32B Instruct · Derived from the standard-tier prices above, input and output tokens per request as stated, 30 days. Excludes caching discounts and batch. Try your own numbers.
On the atlas
Price band (A–H) × context band (1–6)
1 square apart. Qwen2.5 Coder 32B Instruct (D2) sits 1 context band larger than GPT-3.5 Turbo (D1).
Same square as GPT-3.5 Turbo: Gemma 2 27B ($0.65). Same square as Qwen2.5 Coder 32B Instruct: MiniMax M2-her ($0.30), Nano Banana (Gemini 2.5 Flash Image) ($0.30), Mistral Small 3.1 24B ($0.35). Open D1 · Open D2
View the map as a table (2 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDD1 | $0.30–1 | <32K | GPT-3.5 Turbo, Gemma 2 27B |
| GRIDD2 | $0.30–1 | 32–128K | Qwen2.5 Coder 32B Instruct, WizardLM-2 8x22B, Qwen2.5 72B Instruct, Mistral Small 3.1 24B, Qwen2.5 VL 72B Instruct, Nano Banana (Gemini 2.5 Flash Image), MiniMax M2-her |
Capabilities side by side
Only what our records list
Neither record lists input types, so we do not claim any.
Which should you choose?
EditorialChoose GPT-3.5 Turbo if…
- you pay by the token: it costs $0.50 per 1M input against $0.66
- work can wait: it lists a batch tier and the other does not
Choose Qwen2.5 Coder 32B Instruct if…
- output dominates your bill: $1.00 per 1M output against $1.50
- your prompts are long: it takes 32,768 tokens against 16,385
Each reason is a fact from the tables above. Picking between them is our judgement, and we do not benchmark quality: price and context are what we can measure, so test both on your own prompts before you commit.
Questions
Is GPT-3.5 Turbo better than Qwen2.5 Coder 32B Instruct?
Which is cheaper, GPT-3.5 Turbo or Qwen2.5 Coder 32B Instruct?
How much does each cost per 1M tokens?
Which has the larger context window?
Do both offer batch pricing?
Can both read images or audio?
Is either model open-weight?
What would each cost for a support chatbot?
About the two models
GPT-3.5 Turbo
By OpenAI. $0.50 input and $1.50 output per 1M tokens, 16K context, atlas square D1. Tiers listed: batch, standard.
Full specs & pricing →Qwen2.5 Coder 32B Instruct
By Qwen (Alibaba). $0.66 input and $1.00 output per 1M tokens, 33K context, atlas square D2. Tiers listed: standard.
Full specs & pricing →Compare GPT-3.5 Turbo with…
Compare Qwen2.5 Coder 32B Instruct with…
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is GPT-3.5 Turbo better than Qwen2.5 Coder 32B Instruct?
- Which is cheaper, GPT-3.5 Turbo or Qwen2.5 Coder 32B Instruct?
- How much does each cost per 1M tokens?