Comparisons

DeepSeek V4 vs GLM 5.2

On provider list prices, DeepSeek V4 costs $1.74 per million input tokens against $1.40 for GLM 5.2: effectively level. Output is $3.48 against $4.40 (1.3x). On Allocate both bill at list plus the 7% transaction fee.

DeepSeek V4G GLM 5.2
LabDeepseekZai Org
AccessAPI onlyOpen weights
Context window512K tokens256K tokens
List price, input$1.74 / M tokens$1.4 / M tokens
List price, output$3.48 / M tokens$4.4 / M tokens
Cached input$0.2 / M tokens$0.26 / M tokens
LicenseProprietary APINot listed
Fine-tunableNoYes

Specifications 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 $3,220 a month on GLM 5.2 and $3,306 on DeepSeek V4 at list: a gap of $86.

DeepSeek V4 reads 512K tokens per request against 256K for GLM 5.2, 2.0x the window. That decides which one can take whole documents without splitting them.

GLM 5.2$1.40$4.40
DeepSeek V4$1.74$3.48
InputOutput

Choose DeepSeek V4 for

  • Reasoning-heavy agents
  • Long-document analysis
  • Cost-sensitive production routes
DeepSeek V4 details

Choose GLM 5.2 for

  • Agents on open weights
  • Code and structured outputs
  • Fine-tuning toward an owned model
GLM 5.2 details

Common questions

Which is cheaper, DeepSeek V4 or GLM 5.2?

GLM 5.2, on this workload shape. At list prices it is $1.40/$4.40 per million tokens in and out against $1.74/$3.48 for DeepSeek V4. Billed on Allocate: $1.50/$4.71 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 GLM 5.2.

Can I fine-tune DeepSeek V4 or GLM 5.2?

GLM 5.2 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.