AllocateDeepSeek V4 vs Kimi K2.7 Code
On provider list prices, Kimi K2.7 Code costs $0.95 per million input tokens against $1.74 for DeepSeek V4: 1.8x apart. Output is $4 against $3.48. On Allocate both bill at list plus the 7% transaction fee.
DeepSeek V4
Kimi K2.7 CodeSpecifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $2,540 a month on Kimi K2.7 Code and $3,306 on DeepSeek V4 at list: a gap of $766, or 1.3x.
DeepSeek V4 reads 512K tokens per request against 256K for Kimi K2.7 Code, 2.0x the window. That decides which one can take whole documents without splitting them.
Choose DeepSeek V4 for
- Reasoning-heavy agents
- Long-document analysis
- Cost-sensitive production routes
Choose Kimi K2.7 Code for
- The lower list price ($0.95 in / $4 out per M tokens)
- Open weights you can fine-tune and own
Common questions
Which is cheaper, DeepSeek V4 or Kimi K2.7 Code?
Kimi K2.7 Code, on this workload shape. At list prices it is $0.95/$4 per million tokens in and out against $1.74/$3.48 for DeepSeek V4. Billed on Allocate: $1.02/$4.28 against $1.86/$3.72, list plus 7%.
Which has the bigger context window?
DeepSeek V4: 512,000 tokens (512K) against 262,144 (256K) for Kimi K2.7 Code.
Can I fine-tune DeepSeek V4 or Kimi K2.7 Code?
Kimi K2.7 Code publishes open weights (Not listed) and can be fine-tuned on your own data. DeepSeek V4 is a closed model served over API; its weights are not available.
Related comparisons
Run the numbers on your workload
Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.