LLM·Dex

GPT-5 mini vs Granite 3.1 8B

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 publishes pricing ($2.00 / 1M output tokens) while Granite 3.1 8B does not.

  • 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 Granite 3.1 8B.

  • OpennessGranite 3.1 8B

    Granite 3.1 8B ships open weights (Apache-2.0); GPT-5 mini is API-only.

On balance GPT-5 mini edges ahead, winning 3 of 5 categories against Granite 3.1 8B's 1. GPT-5 mini publishes pricing ($2.00 / 1M output tokens) while Granite 3.1 8B does not. 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 Granite 3.1 8B handles text, which can be the deciding factor before you even look at benchmarks. Granite 3.1 8B ships open weights (Apache-2.0); GPT-5 mini is API-only.

GPT-5 mini is the newer of the two, released 8 months after Granite 3.1 8B, 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 Granite 3.1 8B sees more deployments in enterprise llm and commercial use llm. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecGPT-5 miniGranite 3.1 8B
ProviderOpenAIOther
ReleasedAug 2025Dec 2024
Modalitiestext, vision, audiotext
Context window400K tokens128K tokens
Max output128K tokens,
Input · 1M$0.25 / 1M tokensPricing not published
Output · 1M$2.00 / 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$3.75 vs ,
  • Heavy usage, 1M in / 500k out per day$37.50 vs ,
  • RAG workload, 5M in / 200k out per day$49.50 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 mini$0.125
  • Granite 3.1 8BPricing unavailable

Benchmarks compared

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

Benchmark scores not yet available. We only publish numbers we can source from official model cards or independent leaderboards, see methodology.
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
  • Long-context tasks, handles 400K tokens vs 128K for Granite 3.1 8B.
  • Multimodal needs covering vision, audio.
Pick Granite 3.1 8B if

Granite 3.1 8B fits when…

  • Apache-2.0
  • Enterprise-friendly
  • IP-clean training
  • 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 mini or Granite 3.1 8B 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 mini accepts 400K tokens vs 128K for Granite 3.1 8B.
  • Is GPT-5 mini or Granite 3.1 8B better for coding?
    Both GPT-5 mini and Granite 3.1 8B 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?
    Granite 3.1 8B ships open weights (Apache-2.0). GPT-5 mini is API-only.
  • When were GPT-5 mini and Granite 3.1 8B released?
    GPT-5 mini was released by OpenAI on 2025-08-07. Granite 3.1 8B was released by Other on 2024-12-18.
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