LLM·Dex

GPT-5 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.

Updated

GPT-5 specs · Mistral Nemo specs
Verdict by category
  • PriceGPT-5

    GPT-5 publishes pricing ($10.00 / 1M output tokens) while Mistral Nemo does not.

  • Context windowGPT-5

    GPT-5 accepts 400K tokens vs 128K, 3.1× 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.

  • ModalitiesGPT-5

    GPT-5 supports 3 modalities (text, vision, audio) vs 1 for Mistral Nemo.

  • OpennessMistral Nemo

    Mistral Nemo ships open weights (Apache-2.0); GPT-5 is API-only.

On balance GPT-5 edges ahead, winning 3 of 5 categories against Mistral Nemo's 1. GPT-5 publishes pricing ($10.00 / 1M output tokens) while Mistral Nemo does not. GPT-5 accepts 400K tokens vs 128K, 3.1× 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, GPT-5 handles text, vision, audio 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); GPT-5 is API-only.

GPT-5 is the newer of the two, released 13 months after Mistral Nemo, which usually means a more recent knowledge cutoff and updated safety post-training. GPT-5 is usually picked for coding llm and agents 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

SpecGPT-5Mistral Nemo
ProviderOpenAIMistral
ReleasedAug 2025Jul 2024
Modalitiestext, vision, audiotext
Context window400K tokens128K tokens
Max output128K tokens,
Input · 1M$1.25 / 1M tokensPricing not published
Output · 1M$10.00 / 1M tokensPricing not published
Knowledge cutoff2024-09,
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.

  • GPT-5$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.

GPT-5Mistral Nemo
  • MMLU91.4
  • HumanEval96.2
  • GPQA89.4
  • SWE-bench Verified74.9
Pick GPT-5 if

GPT-5 fits when…

  • Unified model, reasoning routed automatically per query
  • Excellent tool-use and JSON-mode discipline
  • Strong agent performance on SWE-bench Verified
  • Long-context tasks, handles 400K tokens vs 128K for Mistral Nemo.
  • Multimodal needs covering vision, audio.
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 GPT-5.5

OpenAI's mid-cycle GPT-5 refresh, improved reasoning, tool use, and multimodal grounding over the 2025 launch.

Frequently asked

  • Is GPT-5 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?
    GPT-5 accepts 400K tokens vs 128K for Mistral Nemo.
  • Is GPT-5 or Mistral Nemo better for coding?
    Both GPT-5 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). GPT-5 is API-only.
  • When were GPT-5 and Mistral Nemo released?
    GPT-5 was released by OpenAI on 2025-08-07. Mistral Nemo was released by Mistral on 2024-07-18.
Friday digest

The week's AI launches, in your inbox.

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