tokevenGPTvsAlibaba (Qwen)
o1 vs Qwen 3.8 Max
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
o1
FlagshipQwen 3.8 Max
FlagshipInput $/MTok
$15.00
$2.00
Output $/MTok
$60.00
$6.00
Cache discount
50% 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
o1
Qwen 3.8 Max
Guidance
When to use o1 vs Qwen 3.8 Max
Choose o1 when...
- Similar performance; consider provider preference or ecosystem fit.
Choose Qwen 3.8 Max when...
- -Cost matters: 87% 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.
o1
Qwen 3.8 Max
100K tokens
$2.85
$0.32Cheaper
1M tokens
$28.50
$3.20Cheaper
10M tokens
$285.00
$32.00Cheaper
FAQ
When should I use o1 instead of Qwen 3.8 Max?
o1 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 o1?
Yes. Qwen 3.8 Max input costs $2.00/MTok vs $15.00/MTok for o1, saving 87% on input.
What are the context window sizes for o1 and Qwen 3.8 Max?
o1 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 o1 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.