Claude Opus 4.8 vs GLM 4.7 FP8
On provider list prices, GLM 4.7 FP8 costs $0.45 per million input tokens against $5 for Claude Opus 4.8: 11.1x apart. Output is $2 against $25 (12.5x). On Allocate both bill at list plus the 7% transaction fee.
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 $14,750 on Claude Opus 4.8 at list: a gap of $13,510, or 11.9x.
GLM 4.7 FP8 reads 198K tokens per request against 200K for Claude Opus 4.8, 1.0x the window. That decides which one can take whole documents without splitting them.
Choose Claude Opus 4.8 for
- Hardest reasoning problems
- High-stakes analysis
- Escalation tier for agents
Choose GLM 4.7 FP8 for
- The lower list price ($0.45 in / $2 out per M tokens)
- The longer context window (198K vs 200K tokens)
- Open weights you can fine-tune and own
Common questions
Which is cheaper, Claude Opus 4.8 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 $5/$25 for Claude Opus 4.8. Billed on Allocate: $0.48/$2.14 against $5.35/$26.75, list plus 7%.
Which has the bigger context window?
GLM 4.7 FP8: 202,752 tokens (198K) against 200,000 (200K) for Claude Opus 4.8.
Can I fine-tune Claude Opus 4.8 or GLM 4.7 FP8?
GLM 4.7 FP8 publishes open weights (MIT) and can be fine-tuned on your own data. Claude Opus 4.8 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.