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Comparison · 2 models · Updated Oct 4, 2026

Qwen2.5-VL 72B Instruct vs Command R

Command R comes out ahead, 51 to 30 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen2.5-VL 72B Instruct

    Released Sep 2024

    30/100
    • ECI—
    • Price$2.80 / $8.40
    • Context131K
    Full specs Remove Qwen2.5-VL 72B Instruct
  2. Our pick

    Cohere

    Command R

    Released Aug 30, 2024

    51/100
    • ECI—
    • Price$0.15 / $0.60
    • Context128K
    Full specs Remove Command R

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Command R is our pick

Command R is the better all-round choice, scoring 51/100 against Qwen2.5-VL 72B Instruct (30). It leads on price. Qwen2.5-VL 72B Instruct wins on inputs & features. 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 RCommand R $0.263 · Qwen2.5-VL 72B Instruct $4.20 per 1M tokens (3:1 blend)
  • Longest contextQwen2.5-VL 72B InstructQwen2.5-VL 72B Instruct 131,072 · Command R 128,000 tokens
  • Widest inputsQwen2.5-VL 72B InstructQwen2.5-VL 72B Instruct: Text, Images · Command R: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightQwen2.5-VL 72B InstructCommand R
Price50%2077
Inputs & features30%5025
Context window20%2424
Overall100%30/10051/100

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.

Qwen2.5-VL 72B Instruct vs Command R specifications side by side
SpecificationQwen2.5-VL 72B InstructAlibaba (Qwen)Command RCohere
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$2.80$0.15 (best)
Output$8.40$0.60 (best)
Cached input——
Blended (3:1)$4.20$0.263 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Cohere API
Limits
Context window131,072 tokens (best)128,000 tokens
Max output8,192 tokens (best)4,000 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDqwen2-5-vl-72b-instructcommand-r-08-2024
API providers15 (best)
ReleasedSep 2024Aug 30, 2024
Knowledge cutoffApr 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.

  • Qwen2.5-VL 72B Instruct$44.80
  • Command R$2.70
04 — Questions

Which should you choose?

Which is better: Qwen2.5-VL 72B Instruct or Command R?

Command R is the better all-round choice, scoring 51/100 against Qwen2.5-VL 72B Instruct (30). It leads on price. Qwen2.5-VL 72B Instruct wins on inputs & features. 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, Qwen2.5-VL 72B Instruct or Command R?

Command R is cheaper at $0.15 input / $0.60 output per million tokens (official Cohere API price). Qwen2.5-VL 72B Instruct costs $2.80 input / $8.40 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for Command R versus $4.20 for Qwen2.5-VL 72B Instruct (16× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen2.5-VL 72B Instruct has not been scored yet and Command R has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen2.5-VL 72B Instruct and Command R 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?

Qwen2.5-VL 72B Instruct has the largest context window at 131,072 tokens, against 128,000 for Command R. Maximum output per response: Qwen2.5-VL 72B Instruct up to 8,192, Command R up to 4,000 tokens.

Which can read images, PDFs, audio or video?

Qwen2.5-VL 72B Instruct accepts text and images; Command R accepts text. Qwen2.5-VL 72B Instruct handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

Qwen2.5-VL 72B Instruct is the newest, released Sep 2024. Command R came out Aug 30, 2024. Knowledge cutoff: Qwen2.5-VL 72B Instruct Apr 2024, Command R 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 Oct 4, 2026.

05 — Keep comparing

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