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Llama 4 8B vs o4

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

Updated

Llama 4 8B specs · o4 specs
Verdict by category
  • PriceTie

    Neither model publishes per-token API pricing.

  • Context windowo4

    o4 accepts 200K tokens vs 128K, 1.6× the room for long documents and codebases.

  • BenchmarksTie

    No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.

  • Modalitieso4

    o4 supports 2 modalities (text, vision) vs 1 for Llama 4 8B.

  • OpennessLlama 4 8B

    Llama 4 8B ships open weights (Llama 4 Community License); o4 is API-only.

On balance o4 edges ahead, winning 2 of 5 categories against Llama 4 8B's 1. Neither model publishes per-token API pricing. o4 accepts 200K tokens vs 128K, 1.6× the room for long documents and codebases.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, Llama 4 8B handles text while o4 handles text, vision, which can be the deciding factor before you even look at benchmarks. Llama 4 8B ships open weights (Llama 4 Community License); o4 is API-only.

o4 is the newer of the two, released 8 months after Llama 4 8B, which usually means a more recent knowledge cutoff and updated safety post-training. Llama 4 8B is usually picked for local llm and on device workloads, while o4 sees more deployments in reasoning and math. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecLlama 4 8Bo4
ProviderMetaOpenAI
ReleasedApr 2025Dec 2025
Modalitiestexttext, vision
Context window128K tokens200K tokens
Max output,,
Input · 1MPricing not publishedPricing not published
Output · 1MPricing not publishedPricing not published
Knowledge cutoff,,
Open weightsYes (Llama 4 Community License)No
API availableYesYes

Pricing at scale

What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.

  • Light usage, 100k in / 50k out per day, vs ,
  • Heavy usage, 1M in / 500k out per day, vs ,
  • RAG workload, 5M in / 200k out per day, vs ,

Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

  • Llama 4 8BPricing unavailable
  • o4Pricing unavailable

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

Benchmark scores not yet available. We only publish numbers we can source from official model cards or independent leaderboards, see methodology.
Pick Llama 4 8B if

Llama 4 8B fits when…

  • Runs on consumer laptops
  • Broad tooling support
  • Apache-2-adjacent permissiveness for most uses
  • Self-hosting and on-prem requirements, open weights (Llama 4 Community License).
Pick o4 if

o4 fits when…

  • Exceptional performance on hard math and reasoning benchmarks
  • Good at multi-step planning and verification
  • Strong scientific reasoning
  • Long-context tasks, handles 200K tokens vs 128K for Llama 4 8B.
  • Multimodal needs covering vision.
Don't want either?

Consider Llama 4 405B

Meta's flagship open-weight model, sparse MoE design competitive with closed-frontier flagships.

See Llama 4 405B specsLlama 4 8B vs Llama 4 405Bo4 vs Llama 4 405B

Frequently asked

  • Is Llama 4 8B or o4 cheaper?
    Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.
  • Which has the larger context window?
    o4 accepts 200K tokens vs 128K for Llama 4 8B.
  • Is Llama 4 8B or o4 better for coding?
    Both Llama 4 8B and o4 are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.
  • Are either of these models open source?
    Llama 4 8B ships open weights (Llama 4 Community License). o4 is API-only.
  • When were Llama 4 8B and o4 released?
    Llama 4 8B was released by Meta on 2025-04-05. o4 was released by OpenAI on 2025-12-15.
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