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Comparison · 2 models · Updated Oct 4, 2026

Qwen3-VL 30B-A3B vs Command R

Qwen3-VL 30B-A3B comes out ahead, 59 to 51 on our weighted score, though Command R is 25% cheaper per token.

  1. Our pick

    Alibaba (Qwen)

    Qwen3-VL 30B-A3B

    Released Apr 2025

    59/100
    • ECI—
    • Price$0.20 / $0.80
    • Context131K
    Full specs Remove Qwen3-VL 30B-A3B

  2. 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

Qwen3-VL 30B-A3B is our pick

Qwen3-VL 30B-A3B is the better all-round choice, scoring 59/100 against Command R (51). It leads on inputs & features. Command R 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 RCommand R $0.263 · Qwen3-VL 30B-A3B $0.35 per 1M tokens (3:1 blend)
  • Longest contextQwen3-VL 30B-A3BQwen3-VL 30B-A3B 131,072 · Command R 128,000 tokens
  • Widest inputsQwen3-VL 30B-A3BQwen3-VL 30B-A3B: 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
MeasureWeightQwen3-VL 30B-A3BCommand R
Price50%7277
Inputs & features30%6025
Context window20%2424
Overall100%59/10051/100

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.

Qwen3-VL 30B-A3B vs Command R specifications side by side
SpecificationQwen3-VL 30B-A3BAlibaba (Qwen)Command RCohere
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.20$0.15 (best)
Output$0.80$0.60 (best)
Cached input——
Blended (3:1)$0.35$0.263 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Cohere API
Limits
Context window131,072 tokens (best)128,000 tokens
Max output32,768 tokens (best)4,000 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDqwen3-vl-30b-a3bcommand-r-08-2024
API providers15 (best)
ReleasedApr 2025Aug 30, 2024
Knowledge cutoffApr 2025Jun 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.

  • Qwen3-VL 30B-A3B$3.60
  • Command R$2.70
04 — Questions

Which should you choose?

Which is better: Qwen3-VL 30B-A3B or Command R?

Qwen3-VL 30B-A3B is the better all-round choice, scoring 59/100 against Command R (51). It leads on inputs & features. Command R 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, Qwen3-VL 30B-A3B or Command R?

Command R is cheaper at $0.15 input / $0.60 output per million tokens (official Cohere API price). Qwen3-VL 30B-A3B costs $0.20 input / $0.80 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 $0.35 for Qwen3-VL 30B-A3B (1.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3-VL 30B-A3B 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 Qwen3-VL 30B-A3B 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?

Qwen3-VL 30B-A3B has the largest context window at 131,072 tokens, against 128,000 for Command R. Maximum output per response: Qwen3-VL 30B-A3B up to 32,768, Command R up to 4,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3-VL 30B-A3B accepts text and images; Command R accepts text. Qwen3-VL 30B-A3B 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?

Qwen3-VL 30B-A3B is the newest, released Apr 2025. Command R came out Aug 30, 2024. Knowledge cutoff: Qwen3-VL 30B-A3B Apr 2025, 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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