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Comparison · 2 models · Updated Nov 2, 2026

Phi-4-multimodal-instruct vs Command R7B

Phi-4-multimodal-instruct comes out ahead, 72 to 65 on our weighted score, though Command R7B is 18% cheaper per token.

  1. Our pick

    Microsoft

    Phi-4-multimodal-instruct

    Released Feb 26, 2025

    72/100
    • ECI—
    • Price$0.07 / $0.11
    • Context131K
    Full specs Remove Phi-4-multimodal-instruct

  2. Cohere

    Command R7B

    Released Dec 13, 2024

    65/100
    • ECI—
    • Price$0.037 / $0.15
    • Context128K
    Full specs Remove Command R7B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Phi-4-multimodal-instruct is our pick

Phi-4-multimodal-instruct is the better all-round choice, scoring 72/100 against Command R7B (65). It leads on inputs & features. Command R7B wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceCommand R7BCommand R7B $0.066 · Phi-4-multimodal-instruct $0.08 per 1M tokens (3:1 blend)
  • Longest contextPhi-4-multimodal-instructPhi-4-multimodal-instruct 131,072 · Command R7B 128,000 tokens
  • Widest inputsPhi-4-multimodal-instructPhi-4-multimodal-instruct: Text, Images, Audio · Command R7B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightPhi-4-multimodal-instructCommand R7B
Price50%98100
Inputs & features30%6035
Context window20%2524
Overall100%72/10065/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Phi-4-multimodal-instruct vs Command R7B specifications side by side
SpecificationPhi-4-multimodal-instructMicrosoftCommand R7BCohere
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.07$0.037 (best)
Output$0.11 (best)$0.15
Cached input——
Blended (3:1)$0.08$0.066 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Cohere API
Limits
Context window131,072 tokens (best)128,000 tokens
Max output131,072 tokens (best)4,000 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioYesNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenMITOpen
API model ID—command-r7b-12-2024
API providers16 (best)
ReleasedFeb 26, 2025Dec 13, 2024
Knowledge cutoffJun 2024Jun 1, 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Phi-4-multimodal-instruct$0.92
  • Command R7B$0.675
04 — Questions

Which should you choose?

Which is better: Phi-4-multimodal-instruct or Command R7B?

Phi-4-multimodal-instruct is the better all-round choice, scoring 72/100 against Command R7B (65). It leads on inputs & features. Command R7B wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Phi-4-multimodal-instruct or Command R7B?

Command R7B is cheaper at $0.037 input / $0.15 output per million tokens (official Cohere API price). Phi-4-multimodal-instruct costs $0.07 input / $0.11 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.066 per million tokens for Command R7B versus $0.08 for Phi-4-multimodal-instruct (1.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Phi-4-multimodal-instruct has not been scored yet and Command R7B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Phi-4-multimodal-instruct and Command R7B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Phi-4-multimodal-instruct has the largest context window at 131,072 tokens, against 128,000 for Command R7B. Maximum output per response: Phi-4-multimodal-instruct up to 131,072, Command R7B up to 4,000 tokens.

Which can read images, PDFs, audio or video?

Phi-4-multimodal-instruct accepts text, images and audio; Command R7B accepts text. Phi-4-multimodal-instruct handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights (MIT), so you can self-host them.

Which is newer?

Phi-4-multimodal-instruct is the newest, released Feb 26, 2025. Command R7B came out Dec 13, 2024. Knowledge cutoff: Phi-4-multimodal-instruct Jun 2024, Command R7B Jun 1, 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.

05 — Keep comparing

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