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LLaMA 4 Scout vs OpenAI o1 — Which Is Better in 2026?

LLaMA 4 Scout vs OpenAI o1: independent head-to-head scored on Performance, Value, Reliability, and Ease of Use. See scores, pros, cons, and our verdict.

Updated: 2026-04-13How we score →

Meta

LLaMA 4 Scout

Best open-source model with 10M token context

OpenAI

OpenAI o1

Best AI for hard reasoning and math

8.0

Overall Score

WINNER

8.0

Overall Score

8.8
Performance
9.5
9.8
Value
6.0
6.0
Reliability
8.5
5.5
Ease of Use
7.5

Our Verdict

LLaMA 4 Scout scores higher overall (8.0/10 vs 8.0/10), winning on Value. Best open-source model with 10M token context. Free to run, industry-leading context length.

Pricing — LLaMA 4 Scout

Free (open weights) · Cloud inference from major providers

Pricing — OpenAI o1

API: $15/M input · $60/M output · Pro plan

LLaMA 4 Scout

Pros

  • 10M token context — industry-leading for open models
  • Free to self-host — no per-token costs
  • Strong multimodal capabilities

Cons

  • Requires GPU infrastructure to run locally
  • No official support or SLA
  • May lag frontier models on very complex tasks

Best For

Long document analysis, self-hosted AI, privacy-first applications

OpenAI o1

Pros

  • Best multi-step mathematical reasoning available
  • Excels at PhD-level problem solving
  • Think-before-answer approach reduces errors

Cons

  • Much slower than standard GPT models
  • Very expensive for routine use
  • Not suitable for conversational or creative tasks

Best For

Complex math, scientific reasoning, hard coding challenges, research problems

Choose LLaMA 4 Scout if…

  • Value is your top priority — LLaMA 4 Scout leads by 3.8 points
  • Long document analysis
  • Meta support, documentation, and community suit your team

Choose OpenAI o1 if…

  • Performance is your top priority — OpenAI o1 leads by 0.7 points
  • Complex math
  • You also value Reliability — OpenAI o1 wins that dimension too

Frequently Asked Questions

Is LLaMA 4 Scout better than OpenAI o1?

LLaMA 4 Scout scores 8.0/10 overall vs 8.0/10 for OpenAI o1, with an edge on Value. That said, "OpenAI o1" 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 4 Scout and OpenAI o1?

LLaMA 4 Scout: Free (open weights) · Cloud inference from major providers. OpenAI o1: API: $15/M input · $60/M output · Pro plan. Compare usage volumes and features needed to determine total cost of ownership for your team.

Which is better for long document analysis?

LLaMA 4 Scout is generally stronger here, scoring 8.0/10 overall. Best open-source model with 10M token context. Free to run, industry-leading context length. For more niche requirements like performance, OpenAI o1 may be worth evaluating.

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