tokevenGPTvsAlibaba (Qwen)
GPT 5.6 Terra vs Qwen 3.8 Max
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
GPT 5.6 Terra
Mid-tierQwen 3.8 Max
FlagshipInput $/MTok
$2.00
$2.00
Output $/MTok
$12.00
$6.00
Cache discount
90% off
88% off
Context
922K
1M
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
64
vs
0
Code Review
84
vs
0
Summarization
64
vs
0
Q&A
92
vs
0
Extraction
75
vs
0
Reasoning
91
vs
0
Classification
89
vs
0
Creative Writing
67
vs
0
GPT 5.6 Terra
Qwen 3.8 Max
Guidance
When to use GPT 5.6 Terra vs Qwen 3.8 Max
Choose GPT 5.6 Terra when...
- Similar performance; consider provider preference or ecosystem fit.
Choose Qwen 3.8 Max when...
- -You need a larger context window (1M vs 922K)
- Similar performance; consider provider preference or ecosystem fit.
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
GPT 5.6 Terra
Qwen 3.8 Max
100K tokens
$0.50
$0.32Cheaper
1M tokens
$8.20
$3.20Cheaper
10M tokens
$82.00
$32.00Cheaper
FAQ
When should I use GPT 5.6 Terra instead of Qwen 3.8 Max?
GPT 5.6 Terra 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 GPT 5.6 Terra?
Both models have the same input pricing at $2.00/MTok. Compare output pricing: $12.00 vs $6.00/MTok.
What are the context window sizes for GPT 5.6 Terra and Qwen 3.8 Max?
GPT 5.6 Terra has a 922K 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 GPT 5.6 Terra 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.