LLM·Dex

Command R vs o4-mini

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

Updated

Command R specs · o4-mini specs
Verdict by category
  • PriceCommand R

    Command R is roughly 2.9× cheaper on output tokens ($1.50 vs $4.40 per 1M).

  • Context windowo4-mini

    o4-mini accepts 200K tokens vs 128K, 1.6× 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.

  • Modalitieso4-mini

    o4-mini supports 2 modalities (text, vision) vs 1 for Command R.

  • OpennessCommand R

    Command R ships open weights (CC-BY-NC 4.0); o4-mini is API-only.

It's a genuine coin-flip between Command R and o4-mini: 2 category wins each, with the rest tied. Command R is roughly 2.9× cheaper on output tokens ($1.50 vs $4.40 per 1M). o4-mini accepts 200K tokens vs 128K, 1.6× 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 handles text while o4-mini handles text, vision, which can be the deciding factor before you even look at benchmarks. Command R ships open weights (CC-BY-NC 4.0); o4-mini is API-only.

o4-mini is the newer of the two, released 13 months after Command R, which usually means a more recent knowledge cutoff and updated safety post-training. Command R is usually picked for rag and customer support workloads, while o4-mini sees more deployments in reasoning and math. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecCommand Ro4-mini
ProviderCohereOpenAI
ReleasedMar 2024Apr 2025
Modalitiestexttext, vision
Context window128K tokens200K tokens
Max output,,
Input · 1M$0.50 / 1M tokens$1.10 / 1M tokens
Output · 1M$1.50 / 1M tokens$4.40 / 1M tokens
Knowledge cutoff,2024-06
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$3.75 vs $9.90
  • Heavy usage, 1M in / 500k out per day$37.50 vs $99.00
  • RAG workload, 5M in / 200k out per day$84.00 vs $191

Light usage, 100k in / 50k out per day: $3.75 vs $9.90 per month, model A comes out ahead. Heavy usage, 1M in / 500k out per day: $37.50 vs $99.00 per month, model A comes out ahead. RAG workload, 5M in / 200k out per day: $84.00 vs $191 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$0.125
  • o4-mini$0.330

Benchmarks compared

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

Command Ro4-mini
  • GPQA,81.4
Pick Command R if

Command R fits when…

  • Cheap RAG
  • Reliable tool-use
  • Cost-sensitive workloads, 2.9× cheaper than o4-mini on output tokens.
  • Self-hosting and on-prem requirements, open weights (CC-BY-NC 4.0).
Pick o4-mini if

o4-mini fits when…

  • Strong reasoning at mid-tier price
  • Fast for a thinking model
  • Solid tool-use
  • Long-context tasks, handles 200K tokens vs 128K for Command R.
  • Multimodal needs covering vision.
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 or o4-mini cheaper?
    Command R is cheaper at $1.50 / 1M tokens per million output tokens, vs $4.40 / 1M tokens for o4-mini.
  • Which has the larger context window?
    o4-mini accepts 200K tokens vs 128K for Command R.
  • Is Command R or o4-mini better for coding?
    Both Command R and o4-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 ships open weights (CC-BY-NC 4.0). o4-mini is API-only.
  • When were Command R and o4-mini released?
    Command R was released by Cohere on 2024-03-11. o4-mini was released by OpenAI on 2025-04-16.
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