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Head-to-head comparison

Command R (08-2024) vs Phi 4

Command R (08-2024) (Cohere) and Phi 4 (Microsoft) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 17 August 2026

As of 17 August 2026, Phi 4 holds the stronger ModelCap Index position (#197 vs #199); Phi 4 is 4.3× cheaper per output token ($0.14/1M vs $0.60/1M); Command R (08-2024) offers the longer context window (128K vs 16K tokens); and Phi 4 ships open weights.

Which should you choose?

Choose Command R (08-2024) if…

  • you need the longer context window — 128K tokens against 16K.

Choose Phi 4 if…

  • you want the stronger overall ModelCap Index position — #197 against #199 (9.0 vs 8.0 points).
  • API cost matters — $0.14/1M output tokens against $0.60/1M, about 4.3× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.07/1M against $0.15/1M.
  • you want to self-host: Phi 4 ships open weights while Command R (08-2024) is api only.
  • Arena coding is your yardstick — 1306 against 1281.
  • you want the more recently listed model — Phi 4 was listed 10 January 2025, Command R (08-2024) 30 August 2024.

Command R (08-2024) vs Phi 4: specs, pricing and context

Specification comparison of Command R (08-2024) and Phi 4
FieldCommand R (08-2024)CoherePhi 4Microsoft
ModelCap Index position#199#197
Index score8.09.0
EvidenceMeasuredMeasured
Input price / 1M tokens$0.15$0.07
Output price / 1M tokens$0.60$0.14
Context window128K tokens16K tokens
Max output tokens4K16K
API providers listed11
Weight accessAPI onlyOpen weights
Input modalitiesTextText
First listed30 August 202410 January 2025
PublisherCohereMicrosoft

Evidence: 2 public benchmark observations across 2 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Command R (08-2024) vs Phi 4

Public benchmark boards where Command R (08-2024) or Phi 4 has a published result
BoardCommand R (08-2024)Phi 4Leads
Arena codingArena (LMArena)12811268–129513061296–1316Phi 4
BFCL V4UC Berkeley (Gorilla)28.8PromptOnly one result
Artificial Analysis Intelligence IndexArtificial Analysis4.6intelligence-indexOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Command R (08-2024) vs Phi 4: common questions

Is Command R (08-2024) better than Phi 4?

Phi 4 ranks higher on the ModelCap Index as of 17 August 2026: #197 against #199. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Command R (08-2024) cheaper than Phi 4?

Phi 4 is cheaper on output tokens: $0.14/1M against $0.60/1M. Input tokens are $0.15/1M for Command R (08-2024) and $0.07/1M for Phi 4. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Command R (08-2024) or Phi 4?

Command R (08-2024) has the larger context window: 128K tokens against 16K.

Which is better for coding, Command R (08-2024) or Phi 4?

Arena coding: Command R (08-2024) 1281, Phi 4 1306 — Phi 4 leads.

Are Command R (08-2024) and Phi 4 open-weight models?

Command R (08-2024): API only. Phi 4: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Command R (08-2024) and Phi 4?

ModelCap currently lists 1 API provider for Command R (08-2024) and 1 for Phi 4, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Command R (08-2024) vs Phi 4 comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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