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Llama 4 70B vs GLM 4.7 FP8

Llama 4 70B is not currently in the Allocate serving catalog, so this page lists no prices for it: every price on this site comes from the live catalog.

Llama 4 70BG GLM 4.7 FP8
LabMetaZai Org
AccessNot served on AllocateOpen weights
Context windown/a198K tokens
List price, inputNot served$0.45 / M tokens
List price, outputNot served$2 / M tokens
Cached inputn/an/a
LicenseNot listedMIT
Fine-tunableYesYes

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

Choose Llama 4 70B for

  • First private fine-tunes
  • Classification and extraction
  • On-boundary deployments
Llama 4 70B details

Choose GLM 4.7 FP8 for

  • Fine-tuning under a permissive license (MIT)
GLM 4.7 FP8 details

Common questions

Which has the bigger context window?

GLM 4.7 FP8: 202,752 tokens (198K) against an unlisted window for Llama 4 70B.

Can I fine-tune Llama 4 70B or GLM 4.7 FP8?

Both publish open weights (Llama 4 70B: Not listed; GLM 4.7 FP8: MIT), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

Llama 4 70B vs Llama 4 Scout Instruct (17Bx16E)GLM 4.7 FP8 vs Llama 4 Scout Instruct (17Bx16E)Llama 4 70B vs Meta Llama 3.3 70B Instruct TurboGLM 4.7 FP8 vs Meta Llama 3.3 70B Instruct TurboGLM 4.7 FP8 vs GLM 4.6 Fp8Llama 4 70B vs GLM 5.2

Run the numbers on your workload

LLM price comparisonAgent cost calculatorLlama 4 70BGLM 4.7 FP8

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.

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