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.

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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

GPT-3.5 Turbo

by OpenAI · weights not marked open · GRIDD1

Input / 1M
$0.50
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$1.50
Context16K
vs

Model B

Qwen2.5 Coder 32B Instruct

by Qwen (Alibaba) · weights not marked open · GRIDD2

Input / 1M
$0.66
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$1.00
Context33K

Key numbers

Standard tier · highlighted = better

GPT-3.5 Turbo
Qwen2.5 Coder 32B Instruct
Input / 1M tokens
$0.50
$0.66
Output / 1M tokens
$1.50
$1.00
Batch input / output
$0.25 / $0.75
Not listed
Context window
16,385
32,768
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
batch, standard
standard
Prices checked
2026-08-17
2026-08-17

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$360/mo
$387/mo
RAG over documents2k queries/day · 12k in, 500 out
$405/mo
$505/mo
Coding agent300 tasks/day · 60k in, 8k out
$378/mo
$428/mo

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

AFreeB<$0.10C$0.10–0.30D$0.30–1E$1–3F$3–10G$10–30H$30+1<32K232–128K3128–256K4256K–1M51M6>1MINPUT PRICE PER 1M TOKENS →CONTEXT WINDOW ↑ · position within a square follows the real valueGemma 2 27B · D1WizardLM-2 8x22B · D2Qwen2.5 72B Instruct · D2Mistral Small 3.1 24B · D2Qwen2.5 VL 72B Instruct · D2Nano Banana (Gemini 2.5 Flash Image) · D2MiniMax M2-her · D2GPT-3.5 TurboGPT-3.5 TurboQwen2.5 Coder 32B InstructQwen2.5 Coder 32B Instruct
GPT-3.5 TurboQwen2.5 Coder 32B InstructNearest neighboursOpen weights
View the map as a table (2 squares)

Capabilities side by side

Only what our records list

GPT-3.5 Turbo
Qwen2.5 Coder 32B Instruct
Vision input
Not disclosed
Not disclosed
Audio input
Not disclosed
Not disclosed
Open weights
Not marked open
Not marked open
Batch tier
Supported
Not listed
Free tier
Not listed
Not listed
Thinking tier
Not listed
Not listed

Neither record lists input types, so we do not claim any.

Which should you choose?

Editorial

Choose 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?
We do not benchmark quality, so we cannot say. On the recorded numbers: 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. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, GPT-3.5 Turbo or Qwen2.5 Coder 32B Instruct?
GPT-3.5 Turbo: $0.50 against $0.66 per 1M input tokens, and $1.50 against $1.00 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
GPT-3.5 Turbo: $0.50 input and $1.50 output. Qwen2.5 Coder 32B Instruct: $0.66 input and $1.00 output. Standard tier, USD.
Which has the larger context window?
Qwen2.5 Coder 32B Instruct, with 32,768 tokens. GPT-3.5 Turbo has 16,385 tokens.
Do both offer batch pricing?
GPT-3.5 Turbo lists a batch tier, at 50% of its standard price. Qwen2.5 Coder 32B Instruct lists no batch tier.
Can both read images or audio?
Input types recorded for GPT-3.5 Turbo: none recorded. For Qwen2.5 Coder 32B Instruct: none recorded. Where a record lists none we say so rather than guess; check each vendor's documentation before relying on a capability.
Is either model open-weight?
GPT-3.5 Turbo: not marked open-weight in our records. Qwen2.5 Coder 32B Instruct: not marked open-weight in our records.
What would each cost for a support chatbot?
At 10,000 chats a day, 1,500 input and 300 output tokens each, 30 days, standard tier: about $360 a month for GPT-3.5 Turbo and $387 for Qwen2.5 Coder 32B Instruct. This is our calculation from the listed prices, not a quote.

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 →

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