tokevenAlibaba (Qwen)vsMoonshot (Kimi)
Qwen 3.8 Max vs Kimi K2
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
Qwen 3.8 Max
FlagshipKimi K2
Mid-tierInput $/MTok
$2.00
$0.95
Output $/MTok
$6.00
$4.00
Cache discount
88% off
83% off
Context
1M
256K
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
Qwen 3.8 Max
Kimi K2
Guidance
When to use Qwen 3.8 Max vs Kimi K2
Choose Qwen 3.8 Max when...
- -You need a larger context window (1M vs 256K)
- Similar performance; consider provider preference or ecosystem fit.
Choose Kimi K2 when...
- -Cost matters: 53% cheaper on input tokens
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
Qwen 3.8 Max
Kimi K2
100K tokens
$0.32
$0.19Cheaper
1M tokens
$3.20
$1.86Cheaper
10M tokens
$32.00
$18.65Cheaper
FAQ
When should I use Qwen 3.8 Max instead of Kimi K2?
Qwen 3.8 Max and Kimi K2 perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is Kimi K2 cheaper than Qwen 3.8 Max?
Yes. Kimi K2 input costs $0.95/MTok vs $2.00/MTok for Qwen 3.8 Max, saving 53% on input.
What are the context window sizes for Qwen 3.8 Max and Kimi K2?
Qwen 3.8 Max has a 1M token context window. Kimi K2 has a 256K 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 Qwen 3.8 Max and Kimi K2 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.