tokevenGPTvsAlibaba (Qwen)
GPT 5.6 Terra vs Qwen 3.8 Flash
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 Flash
Fast / BudgetInput $/MTok
$2.00
$0.15
Output $/MTok
$12.00
$0.47
Cache discount
90% off
89% 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 Flash
Guidance
When to use GPT 5.6 Terra vs Qwen 3.8 Flash
Choose GPT 5.6 Terra when...
- Similar performance; consider provider preference or ecosystem fit.
Choose Qwen 3.8 Flash when...
- -Cost matters: 93% cheaper on input tokens
- -You need a larger context window (1M vs 922K)
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 Flash
100K tokens
$0.50
$0.02Cheaper
1M tokens
$8.20
$0.25Cheaper
10M tokens
$82.00
$2.46Cheaper
FAQ
When should I use GPT 5.6 Terra instead of Qwen 3.8 Flash?
GPT 5.6 Terra and Qwen 3.8 Flash perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is Qwen 3.8 Flash cheaper than GPT 5.6 Terra?
Yes. Qwen 3.8 Flash input costs $0.15/MTok vs $2.00/MTok for GPT 5.6 Terra, saving 93% on input.
What are the context window sizes for GPT 5.6 Terra and Qwen 3.8 Flash?
GPT 5.6 Terra has a 922K token context window. Qwen 3.8 Flash 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 Flash 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.