tokevenGPTvsMoonshot (Kimi)
GPT 3.5 Turbo vs Kimi K2
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
GPT 3.5 Turbo
Fast / BudgetKimi K2
Mid-tierInput $/MTok
$0.50
$0.95
Output $/MTok
$1.50
$4.00
Cache discount
0% off
83% off
Context
16K
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
GPT 3.5 Turbo
Kimi K2
Guidance
When to use GPT 3.5 Turbo vs Kimi K2
Choose GPT 3.5 Turbo when...
- -Cost matters: 47% cheaper on input tokens
Choose Kimi K2 when...
- -You need a larger context window (256K vs 16K)
- 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 3.5 Turbo
Kimi K2
100K tokens
$0.08Cheaper
$0.19
1M tokens
$0.80Cheaper
$1.86
10M tokens
$8.00Cheaper
$18.65
FAQ
When should I use GPT 3.5 Turbo instead of Kimi K2?
GPT 3.5 Turbo and Kimi K2 perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is Kimi K2 cheaper than GPT 3.5 Turbo?
Kimi K2 input costs $0.95/MTok, which is 90% more than GPT 3.5 Turbo at $0.50/MTok.
What are the context window sizes for GPT 3.5 Turbo and Kimi K2?
GPT 3.5 Turbo has a 16K 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 GPT 3.5 Turbo 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.