LLM·Dex

Command R (08-2024) vs GPT-5 mini

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
  • PriceCommand R (08-2024)

    Command R (08-2024) is roughly 3.3× cheaper on output tokens ($0.60 vs $2.00 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 Command R (08-2024).

  • OpennessCommand R (08-2024)

    Command R (08-2024) ships open weights (CC-BY-NC 4.0); GPT-5 mini is API-only.

It's a genuine coin-flip between Command R (08-2024) and GPT-5 mini: 2 category wins each, with the rest tied. Command R (08-2024) is roughly 3.3× cheaper on output tokens ($0.60 vs $2.00 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, Command R (08-2024) handles text while GPT-5 mini handles text, vision, audio, which can be the deciding factor before you even look at benchmarks. Command R (08-2024) ships open weights (CC-BY-NC 4.0); GPT-5 mini is API-only.

GPT-5 mini is the newer of the two, released 11 months after Command R (08-2024), which usually means a more recent knowledge cutoff and updated safety post-training. Command R (08-2024) is usually picked for rag and multilingual workloads, while GPT-5 mini sees more deployments in code completion and customer support. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecCommand R (08-2024)GPT-5 mini
ProviderCohereOpenAI
ReleasedAug 2024Aug 2025
Modalitiestexttext, vision, audio
Context window128K tokens400K tokens
Max output,128K tokens
Input · 1M$0.15 / 1M tokens$0.25 / 1M tokens
Output · 1M$0.60 / 1M tokens$2.00 / 1M tokens
Knowledge cutoff,2024-09
Open weightsYes (CC-BY-NC 4.0)No
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$1.35 vs $3.75
  • Heavy usage, 1M in / 500k out per day$13.50 vs $37.50
  • RAG workload, 5M in / 200k out per day$26.10 vs $49.50

Light usage, 100k in / 50k out per day: $1.35 vs $3.75 per month, model A comes out ahead. Heavy usage, 1M in / 500k out per day: $13.50 vs $37.50 per month, model A comes out ahead. RAG workload, 5M in / 200k out per day: $26.10 vs $49.50 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.

  • Command R (08-2024)$0.045
  • GPT-5 mini$0.125

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 Command R (08-2024) if

Command R (08-2024) fits when…

  • Improved tool-use
  • Strong multilingual
  • Cost-sensitive workloads, 3.3× cheaper than GPT-5 mini on output tokens.
  • Self-hosting and on-prem requirements, open weights (CC-BY-NC 4.0).
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
  • Long-context tasks, handles 400K tokens vs 128K for Command R (08-2024).
  • Multimodal needs covering vision, audio.
Don't want either?

Consider Command R+ (08-2024)

Cohere's flagship optimized for RAG and tool use in enterprise settings.

Frequently asked

  • Is Command R (08-2024) or GPT-5 mini cheaper?
    Command R (08-2024) is cheaper at $0.60 / 1M tokens per million output tokens, vs $2.00 / 1M tokens for GPT-5 mini.
  • Which has the larger context window?
    GPT-5 mini accepts 400K tokens vs 128K for Command R (08-2024).
  • Is Command R (08-2024) or GPT-5 mini better for coding?
    Both Command R (08-2024) and GPT-5 mini 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?
    Command R (08-2024) ships open weights (CC-BY-NC 4.0). GPT-5 mini is API-only.
  • When were Command R (08-2024) and GPT-5 mini released?
    Command R (08-2024) was released by Cohere on 2024-08-30. GPT-5 mini was released by OpenAI on 2025-08-07.
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