AllocateQwen 3.5 vs GLM 5 Fp4
On provider list prices, Qwen 3.5 costs $0.60 per million input tokens against $1 for GLM 5 Fp4: 1.7x apart. Output is $3.60 against $3.20. On Allocate both bill at list plus the 7% transaction fee.
Qwen 3.5G GLM 5 Fp4Specifications 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 $1,980 a month on Qwen 3.5 and $2,320 on GLM 5 Fp4 at list: a gap of $340, or 1.2x.
Qwen 3.5 reads 256K tokens per request against 198K for GLM 5 Fp4, 1.3x the window. That decides which one can take whole documents without splitting them.
Choose Qwen 3.5 for
- Multilingual support agents
- Translation-adjacent workflows
- Fine-tuning under Apache 2.0
Common questions
Which is cheaper, Qwen 3.5 or GLM 5 Fp4?
Qwen 3.5, on this workload shape. At list prices it is $0.60/$3.60 per million tokens in and out against $1/$3.20 for GLM 5 Fp4. Billed on Allocate: $0.64/$3.85 against $1.07/$3.42, list plus 7%.
Which has the bigger context window?
Qwen 3.5: 262,144 tokens (256K) against 202,752 (198K) for GLM 5 Fp4.
Can I fine-tune Qwen 3.5 or GLM 5 Fp4?
Both publish open weights (Qwen 3.5: Apache 2.0; GLM 5 Fp4: 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.