AllocateMistral Large 3 vs Inkling FP4
Mistral Large 3 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.
Mistral Large 3
Inkling FP4LabMistralThinking Machines
AccessNot served on AllocateOpen weights
Context windown/a512K tokens
List price, inputNot served$1 / M tokens
List price, outputNot served$4.05 / M tokens
Cached inputn/a$0.17 / M tokens
LicenseProprietary APIApache 2.0
Fine-tunableNoYes
Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.
Choose Mistral Large 3 for
- EU data-residency workloads
- Structured outputs
- Function calling
Choose Inkling FP4 for
- Open weights you can fine-tune and own
- Fine-tuning under a permissive license (Apache 2.0)
- Published cached-input pricing ($0.17 per M tokens)
Common questions
Which has the bigger context window?
Inkling FP4: 524,288 tokens (512K) against an unlisted window for Mistral Large 3.
Can I fine-tune Mistral Large 3 or Inkling FP4?
Inkling FP4 publishes open weights (Apache 2.0) and can be fine-tuned on your own data. Mistral Large 3 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.