Comparisons

DeepSeek V4 vs GLM 4.7 FP8

On provider list prices, GLM 4.7 FP8 costs $0.45 per million input tokens against $1.74 for DeepSeek V4: 3.9x apart. Output is $2 against $3.48 (1.7x). On Allocate both bill at list plus the 7% transaction fee.

DeepSeek V4G GLM 4.7 FP8
LabDeepseekZai Org
AccessAPI onlyOpen weights
Context window512K tokens198K tokens
List price, input$1.74 / M tokens$0.45 / M tokens
List price, output$3.48 / M tokens$2 / M tokens
Cached input$0.2 / M tokensn/a
LicenseProprietary APIMIT
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 $1,240 a month on GLM 4.7 FP8 and $3,306 on DeepSeek V4 at list: a gap of $2,066, or 2.7x.

DeepSeek V4 reads 512K tokens per request against 198K for GLM 4.7 FP8, 2.5x the window. That decides which one can take whole documents without splitting them.

GLM 4.7 FP8$0.45$2
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 4.7 FP8 for

  • The lower list price ($0.45 in / $2 out per M tokens)
  • Open weights you can fine-tune and own
  • Fine-tuning under a permissive license (MIT)
GLM 4.7 FP8 details

Common questions

Which is cheaper, DeepSeek V4 or GLM 4.7 FP8?

GLM 4.7 FP8, on this workload shape. At list prices it is $0.45/$2 per million tokens in and out against $1.74/$3.48 for DeepSeek V4. Billed on Allocate: $0.48/$2.14 against $1.86/$3.72, list plus 7%.

Which has the bigger context window?

DeepSeek V4: 512,000 tokens (512K) against 202,752 (198K) for GLM 4.7 FP8.

Can I fine-tune DeepSeek V4 or GLM 4.7 FP8?

GLM 4.7 FP8 publishes open weights (MIT) 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.