LLM·Dex
Newsletter

Gemini 3 Pro 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

Gemini 3 Pro specs · o4 specs
Verdict by category
  • PriceTie

    Neither model publishes per-token API pricing.

  • Context windowGemini 3 Pro

    Gemini 3 Pro accepts 1.0M tokens vs 200K, 5.2× 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 o4.

  • OpennessTie

    Both are closed-weight, API-only.

On balance Gemini 3 Pro edges ahead, winning 2 of 5 categories against o4's 0. Neither model publishes per-token API pricing. Gemini 3 Pro accepts 1.0M tokens vs 200K, 5.2× 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 o4 handles text, vision, which can be the deciding factor before you even look at benchmarks. Both are closed-weight, API-only.

Both shipped within roughly a month of each other in 2025, so they share the same generation of training data and tooling. Gemini 3 Pro is usually picked for long context and rag 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

SpecGemini 3 Proo4
ProviderGoogleOpenAI
ReleasedDec 2025Dec 2025
Modalitiestext, vision, audio, videotext, vision
Context window1.0M tokens200K tokens
Max output65.5K tokens,
Input · 1MPricing not publishedPricing not published
Output · 1MPricing not publishedPricing not published
Knowledge cutoff2025-01,
Open weightsNoNo
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
  • 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.

Gemini 3 Proo4
  • 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 200K for o4.
  • Multimodal needs covering audio, video.
Pick o4 if

o4 fits when…

  • Exceptional performance on hard math and reasoning benchmarks
  • Good at multi-step planning and verification
  • Strong scientific reasoning
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.

See Gemini 3 Flash specsGemini 3 Pro vs Gemini 3 Flasho4 vs Gemini 3 Flash

Frequently asked

  • Is Gemini 3 Pro 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?
    Gemini 3 Pro accepts 1.0M tokens vs 200K for o4.
  • Is Gemini 3 Pro or o4 better for coding?
    Both Gemini 3 Pro 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?
    Neither model ships open weights, both are accessible only via their respective providers' APIs.
  • When were Gemini 3 Pro and o4 released?
    Gemini 3 Pro was released by Google on 2025-12-09. o4 was released by OpenAI on 2025-12-15.
Friday digest

The week's AI launches, in your inbox.

One short email every Friday, new models, leaks, and quietly-shipped APIs you missed.