LLM·Dex

Gemini 3 Pro vs Llama 4 405B

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

Verdict by category
  • PriceTie

    Neither model publishes per-token API pricing.

  • Context windowGemini 3 Pro

    Gemini 3 Pro accepts 1.0M tokens vs 256K, 4.1× 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.

  • ModalitiesGemini 3 Pro

    Gemini 3 Pro supports 4 modalities (text, vision, audio, video) vs 2 for Llama 4 405B.

  • OpennessLlama 4 405B

    Llama 4 405B ships open weights (Llama 4 Community License); Gemini 3 Pro is API-only.

On balance Gemini 3 Pro edges ahead, winning 2 of 5 categories against Llama 4 405B's 1. Neither model publishes per-token API pricing. Gemini 3 Pro accepts 1.0M tokens vs 256K, 4.1× 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, Gemini 3 Pro handles text, vision, audio, video while Llama 4 405B handles text, vision, which can be the deciding factor before you even look at benchmarks. Llama 4 405B ships open weights (Llama 4 Community License); Gemini 3 Pro is API-only.

Gemini 3 Pro is the newer of the two, released 8 months after Llama 4 405B, which usually means a more recent knowledge cutoff and updated safety post-training. Gemini 3 Pro is usually picked for long context and rag workloads, while Llama 4 405B sees more deployments in open source llm and fine tuning. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecGemini 3 ProLlama 4 405B
ProviderGoogleMeta
ReleasedDec 2025Apr 2025
Modalitiestext, vision, audio, videotext, vision
Context window1.0M tokens256K tokens
Max output65.5K tokens,
Input · 1MPricing not publishedPricing not published
Output · 1MPricing not publishedPricing not published
Knowledge cutoff2025-012024-12
Open weightsNoYes (Llama 4 Community License)
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.

  • Gemini 3 ProPricing unavailable
  • Llama 4 405BPricing unavailable

Benchmarks compared

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

Gemini 3 ProLlama 4 405B
  • MMLU91.8
  • HumanEval95.4
  • GPQA91.9
Pick Gemini 3 Pro if

Gemini 3 Pro fits when…

  • Massive 1M-token context window
  • State-of-the-art vision and document understanding
  • Strong reasoning at competitive price
  • Long-context tasks, handles 1.0M tokens vs 256K for Llama 4 405B.
  • Multimodal needs covering audio, video.
Pick Llama 4 405B if

Llama 4 405B fits when…

  • Strongest open-weight model at launch
  • Multimodal (text + vision)
  • Wide hosting availability
  • Self-hosting and on-prem requirements, open weights (Llama 4 Community License).
Don't want either?

Consider Gemini 3 Flash

Google's high-speed, low-cost mid-tier with the same massive context window, popular for high-volume RAG.

Frequently asked

  • Is Gemini 3 Pro or Llama 4 405B 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?
    Gemini 3 Pro accepts 1.0M tokens vs 256K for Llama 4 405B.
  • Is Gemini 3 Pro or Llama 4 405B better for coding?
    Both Gemini 3 Pro and Llama 4 405B 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 405B ships open weights (Llama 4 Community License). Gemini 3 Pro is API-only.
  • When were Gemini 3 Pro and Llama 4 405B released?
    Gemini 3 Pro was released by Google on 2025-12-09. Llama 4 405B was released by Meta on 2025-04-05.
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