LLM·Dex

GPT-5 mini vs Mistral Large 2

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
  • PriceGPT-5 mini

    GPT-5 mini is roughly 3.0× cheaper on output tokens ($2.00 vs $6.00 per 1M).

  • Context windowGPT-5 mini

    GPT-5 mini 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 mini

    GPT-5 mini supports 3 modalities (text, vision, audio) vs 1 for Mistral Large 2.

  • OpennessMistral Large 2

    Mistral Large 2 ships open weights (Mistral Research License); GPT-5 mini is API-only.

On balance GPT-5 mini edges ahead, winning 3 of 5 categories against Mistral Large 2's 1. GPT-5 mini is roughly 3.0× cheaper on output tokens ($2.00 vs $6.00 per 1M). GPT-5 mini 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 mini handles text, vision, audio while Mistral Large 2 handles text, which can be the deciding factor before you even look at benchmarks. Mistral Large 2 ships open weights (Mistral Research License); GPT-5 mini is API-only.

GPT-5 mini is the newer of the two, released 13 months after Mistral Large 2, which usually means a more recent knowledge cutoff and updated safety post-training. GPT-5 mini is usually picked for code completion and customer support workloads, while Mistral Large 2 sees more deployments in coding llm and multilingual. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecGPT-5 miniMistral Large 2
ProviderOpenAIMistral
ReleasedAug 2025Jul 2024
Modalitiestext, vision, audiotext
Context window400K tokens128K tokens
Max output128K tokens,
Input · 1M$0.25 / 1M tokens$2.00 / 1M tokens
Output · 1M$2.00 / 1M tokens$6.00 / 1M tokens
Knowledge cutoff2024-092024-04
Open weightsNoYes (Mistral Research 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$3.75 vs $15.00
  • Heavy usage, 1M in / 500k out per day$37.50 vs $150
  • RAG workload, 5M in / 200k out per day$49.50 vs $336

Light usage, 100k in / 50k out per day: $3.75 vs $15.00 per month, model A comes out ahead. Heavy usage, 1M in / 500k out per day: $37.50 vs $150 per month, model A comes out ahead. RAG workload, 5M in / 200k out per day: $49.50 vs $336 per month, model A comes out ahead.

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 mini$0.125
  • Mistral Large 2$0.500

Benchmarks compared

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

GPT-5 miniMistral Large 2
  • MMLU,84.0
  • HumanEval,92.0
Pick GPT-5 mini if

GPT-5 mini fits when…

  • Excellent price-quality ratio for production workloads
  • Fast first-token latency
  • Same tool-use API surface as flagship
  • Cost-sensitive workloads, 3.0× cheaper than Mistral Large 2 on output tokens.
  • Long-context tasks, handles 400K tokens vs 128K for Mistral Large 2.
Pick Mistral Large 2 if

Mistral Large 2 fits when…

  • Strong code and math
  • EU data residency
  • Multilingual
  • Self-hosting and on-prem requirements, open weights (Mistral Research License).
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 mini or Mistral Large 2 cheaper?
    GPT-5 mini is cheaper at $2.00 / 1M tokens per million output tokens, vs $6.00 / 1M tokens for Mistral Large 2.
  • Which has the larger context window?
    GPT-5 mini accepts 400K tokens vs 128K for Mistral Large 2.
  • Is GPT-5 mini or Mistral Large 2 better for coding?
    Both GPT-5 mini and Mistral Large 2 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 Large 2 ships open weights (Mistral Research License). GPT-5 mini is API-only.
  • When were GPT-5 mini and Mistral Large 2 released?
    GPT-5 mini was released by OpenAI on 2025-08-07. Mistral Large 2 was released by Mistral on 2024-07-24.
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