tokevenGPTvsAlibaba (Qwen)
o3 Pro vs Qwen 3.8 Max
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
o3 Pro
FlagshipQwen 3.8 Max
FlagshipInput $/MTok
$20.00
$2.00
Output $/MTok
$80.00
$6.00
Cache discount
0% off
88% off
Context
200K
1M
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
0
vs
0
Code Review
0
vs
0
Summarization
0
vs
0
Q&A
0
vs
0
Extraction
0
vs
0
Reasoning
0
vs
0
Classification
0
vs
0
Creative Writing
0
vs
0
o3 Pro
Qwen 3.8 Max
Guidance
When to use o3 Pro vs Qwen 3.8 Max
Choose o3 Pro when...
- Similar performance; consider provider preference or ecosystem fit.
Choose Qwen 3.8 Max when...
- -Cost matters: 90% cheaper on input tokens
- -You need a larger context window (1M vs 200K)
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
o3 Pro
Qwen 3.8 Max
100K tokens
$3.80
$0.32Cheaper
1M tokens
$38.00
$3.20Cheaper
10M tokens
$380.00
$32.00Cheaper
FAQ
When should I use o3 Pro instead of Qwen 3.8 Max?
o3 Pro and Qwen 3.8 Max perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is Qwen 3.8 Max cheaper than o3 Pro?
Yes. Qwen 3.8 Max input costs $2.00/MTok vs $20.00/MTok for o3 Pro, saving 90% on input.
What are the context window sizes for o3 Pro and Qwen 3.8 Max?
o3 Pro has a 200K token context window. Qwen 3.8 Max has a 1M token context window.
Go deeper on either model
Per-call cost calculators, provider lineups, and price history for both models on this page.
Other comparisons
How o3 Pro and Qwen 3.8 Max stack up against the rest of the field.
Track your real costs
Comparisons show estimated costs at list price. The dashboard reveals your real spend and savings.