Versus Engine
Llama 3.1 405B vs Qwen 3 MoE
Recorded capabilities and trade-offs for Llama 3.1 405B and Qwen 3 MoE, side by side. Missing information is not treated as a tie.
Capabilities on record
Llama 3.1 405B
No structured feature record is available.
Capabilities on record
Qwen 3 MoE
No structured feature record is available.
Llama 3.1 405B
Meta's open-weights behemoth.
Editorial notes on record
Recorded strengths
- Open weights
- GPT-4 level reasoning
- High context length (131072)
- Large vocabulary size (128256)
Recorded limitations
- Requires massive VRAM to run locally
- Complex architecture with many parameters
Qwen 3 MoE
A large Mixture-of-Experts model offering frontier-class performance outside the US provider ecosystem.
Editorial notes on record
Recorded strengths
- Frontier-class performance from outside the US provider ecosystem
- MoE architecture keeps inference fast for the parameter count
- Open weights with permissive access
Recorded limitations
- Memory footprint is the full parameter count despite sparse activation
- Enterprise procurement often raises provenance objections
- Local deployment harder than the effective size implies