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LLaMA 3.1 405B vs Phi-4 — Which Is Better in 2026?

LLaMA 3.1 405B vs Phi-4: independent head-to-head scored on Performance, Value, Reliability, and Ease of Use. See scores, pros, cons, and our verdict.

Updated: 2026-04-11How we score →

Meta

LLaMA 3.1 405B

Best open-source LLM — free to run

Microsoft

Phi-4

Best small model for on-device AI

7.8

Overall Score

8.0

Overall Score

WINNER
8.5
Performance
7.5
9.5
Value
9.5
6.0
Reliability
7.5
5.0
Ease of Use
7.0

Our Verdict

Phi-4 scores higher overall (8.0/10 vs 7.8/10), winning on Reliability and Ease of Use. Best small model for on-device AI. Remarkable quality for 14B parameters.

Pricing — LLaMA 3.1 405B

Free (self-hosted) · Cloud inference from $0.003/1K tokens

Pricing — Phi-4

Free (open-source) · Azure AI: standard compute pricing

LLaMA 3.1 405B

Pros

  • Fully open-source weights — self-host for free
  • No data sent to third parties
  • Competitive with GPT-4 class models

Cons

  • Requires GPU infrastructure to run
  • No official support or SLA
  • Harder to set up than hosted solutions

Best For

Privacy-first deployments, open-source enthusiasts, budget-conscious teams with infrastructure

Phi-4

Pros

  • Runs on consumer hardware (14B params)
  • Impressive quality for its tiny size
  • Microsoft backing with Azure integration

Cons

  • Much lower quality ceiling than large models
  • Not suitable for complex reasoning
  • Limited ecosystem vs GPT family

Best For

Edge deployment, on-device AI, privacy-first small-scale applications

Choose LLaMA 3.1 405B if…

  • Performance is your top priority — LLaMA 3.1 405B leads by 1.0 points
  • Privacy-first deployments
  • Meta support, documentation, and community suit your team

Choose Phi-4 if…

  • Reliability is your top priority — Phi-4 leads by 1.5 points
  • Edge deployment
  • You also value Ease of Use — Phi-4 wins that dimension too

Frequently Asked Questions

Is LLaMA 3.1 405B better than Phi-4?

Phi-4 scores 8.0/10 overall vs 7.8/10 for LLaMA 3.1 405B, with an edge on Reliability and Ease of Use. That said, "LLaMA 3.1 405B" may be the better pick if performance is your priority. The right choice depends on your use case.

What is the pricing difference between LLaMA 3.1 405B and Phi-4?

LLaMA 3.1 405B: Free (self-hosted) · Cloud inference from $0.003/1K tokens. Phi-4: Free (open-source) · Azure AI: standard compute pricing. Compare usage volumes and features needed to determine total cost of ownership for your team.

Which is better for edge deployment?

Phi-4 is generally stronger here, scoring 8.0/10 overall. Best small model for on-device AI. Remarkable quality for 14B parameters. For more niche requirements like performance, LLaMA 3.1 405B may be worth evaluating.

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