Dense vs. MoE Models: Active Parameters, Throughput, and When to Choose Each
How can a 30B-parameter model activate only 3B parameters per token, and still use the capacity of the larger model?
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- Why it matters
- This matters to teams making deployment, cost, latency, reliability, or observability decisions. Workload shape and benchmark conditions are the key context.
- Technical impact
- The technical change sits in infrastructure. Check what is available now, how it was evaluated, and where the source's claim stops.
- Risk note
- The main uncertainty is scope: vendor claims still need workload, pricing, availability, and independent context.