LLM·Dex

Gemini 2.5 Pro vs Mistral Nemo

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
  • PriceGemini 2.5 Pro

    Gemini 2.5 Pro publishes pricing ($10.00 / 1M output tokens) while Mistral Nemo does not.

  • Context windowGemini 2.5 Pro

    Gemini 2.5 Pro accepts 2.1M tokens vs 128K, 16.4× 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 2.5 Pro

    Gemini 2.5 Pro supports 4 modalities (text, vision, audio, video) vs 1 for Mistral Nemo.

  • OpennessMistral Nemo

    Mistral Nemo ships open weights (Apache-2.0); Gemini 2.5 Pro is API-only.

On balance Gemini 2.5 Pro edges ahead, winning 3 of 5 categories against Mistral Nemo's 1. Gemini 2.5 Pro publishes pricing ($10.00 / 1M output tokens) while Mistral Nemo does not. Gemini 2.5 Pro accepts 2.1M tokens vs 128K, 16.4× 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 2.5 Pro handles text, vision, audio, video while Mistral Nemo handles text, which can be the deciding factor before you even look at benchmarks. Mistral Nemo ships open weights (Apache-2.0); Gemini 2.5 Pro is API-only.

Gemini 2.5 Pro is the newer of the two, released 8 months after Mistral Nemo, which usually means a more recent knowledge cutoff and updated safety post-training. Gemini 2.5 Pro is usually picked for long context and rag workloads, while Mistral Nemo sees more deployments in edge deployment and local llm. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecGemini 2.5 ProMistral Nemo
ProviderGoogleMistral
ReleasedMar 2025Jul 2024
Modalitiestext, vision, audio, videotext
Context window2.1M tokens128K tokens
Max output,,
Input · 1M$1.25 / 1M tokensPricing not published
Output · 1M$10.00 / 1M tokensPricing not published
Knowledge cutoff2025-01,
Open weightsNoYes (Apache-2.0)
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$18.75 vs ,
  • Heavy usage, 1M in / 500k out per day$188 vs ,
  • RAG workload, 5M in / 200k out per day$248 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 2.5 Pro$0.625
  • Mistral NemoPricing 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 2.5 ProMistral Nemo
  • MMLU86.0
  • GPQA84.0
Pick Gemini 2.5 Pro if

Gemini 2.5 Pro fits when…

  • 2M-token context window
  • Strong on long-document tasks
  • Native multimodal handling
  • Long-context tasks, handles 2.1M tokens vs 128K for Mistral Nemo.
  • Multimodal needs covering vision, audio, video.
Pick Mistral Nemo if

Mistral Nemo fits when…

  • Apache-2.0
  • Single-GPU fit
  • Multilingual
  • Self-hosting and on-prem requirements, open weights (Apache-2.0).
Don't want either?

Consider Gemini 3 Pro

Google's late-2025 flagship, set new benchmarks on long-context, vision, and reasoning at competitive pricing.

Frequently asked

  • Is Gemini 2.5 Pro or Mistral Nemo 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 2.5 Pro accepts 2.1M tokens vs 128K for Mistral Nemo.
  • Is Gemini 2.5 Pro or Mistral Nemo better for coding?
    Both Gemini 2.5 Pro and Mistral Nemo 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?
    Mistral Nemo ships open weights (Apache-2.0). Gemini 2.5 Pro is API-only.
  • When were Gemini 2.5 Pro and Mistral Nemo released?
    Gemini 2.5 Pro was released by Google on 2025-03-25. Mistral Nemo was released by Mistral on 2024-07-18.
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