OpenAI GPT-OSS 120B vs GLM 5.3 Flash
On provider list prices, GLM 5.3 Flash costs $0.15 per million input tokens against $0.15 for OpenAI GPT-OSS 120B: effectively level. Output is $0.50 against $0.60 (1.2x).
Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $355 a month on GLM 5.3 Flash and $390 on OpenAI GPT-OSS 120B at list: a gap of $35.
GLM 5.3 Flash reads 1M tokens per request against 128K for OpenAI GPT-OSS 120B, 8.0x the window. That decides which one can take whole documents without splitting them.
Choose GLM 5.3 Flash for
- The longer context window (1M vs 128K tokens)
- Published cached-input pricing ($0.03 per M tokens)
Common questions
Which is cheaper, OpenAI GPT-OSS 120B or GLM 5.3 Flash?
GLM 5.3 Flash, on this workload shape. At list prices it is $0.15/$0.50 per million tokens in and out against $0.15/$0.60 for OpenAI GPT-OSS 120B. Billed on Allocate: $0.16/$0.54 against $0.16/$0.64.
Which has the bigger context window?
GLM 5.3 Flash: 1,048,576 tokens (1M) against 131,072 (128K) for OpenAI GPT-OSS 120B.
Can I fine-tune OpenAI GPT-OSS 120B or GLM 5.3 Flash?
Both publish open weights (OpenAI GPT-OSS 120B: Custom license; GLM 5.3 Flash: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
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.