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Comparison · 3 models · Updated Oct 4, 2026

Qwen2.5-VL 72B Instruct vs Palmyra X5 vs Command R+

Palmyra X5 comes out ahead, 48 to 30 and 22 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
  2. Our pick

    Writer

    Palmyra X5

    Released Apr 28, 2025

    48/100
    • ECI—
    • Price$0.60 / $6.00
    • Context1M
  3. Cohere

    Command R+

    Released Aug 30, 2024

    22/100
    • ECI—
    • Price$2.50 / $10.00
    • Context128K
01 — Verdict

Palmyra X5 is our pick

Palmyra X5 is the better all-round choice, scoring 48/100 against Qwen2.5-VL 72B Instruct (30) and Command R+ (22). It leads on price, inputs & features and context window. 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 pricePalmyra X5Palmyra X5 $1.95 · Qwen2.5-VL 72B Instruct $4.20 · Command R+ $4.38 per 1M tokens (3:1 blend)
  • Longest contextPalmyra X5Palmyra X5 1,000,000 · Qwen2.5-VL 72B Instruct 131,072 · Command R+ 128,000 tokens
  • Widest inputsQwen2.5-VL 72B Instruct and Palmyra X5Qwen2.5-VL 72B Instruct: Text, Images · Palmyra X5: Text, Images · Command R+: Text
  • Self-hostingQwen2.5-VL 72B Instruct and Command R+Publishes downloadable weights
How the score is built
MeasureWeightQwen2.5-VL 72B InstructPalmyra X5Command R+
Price50%203619
Inputs & features30%506025
Context window20%246024
Overall100%30/10048/10022/100

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 Palmyra X5 vs Command R+ specifications side by side
SpecificationQwen2.5-VL 72B InstructAlibaba (Qwen)Palmyra X5WriterCommand R+Cohere
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$2.80$0.60 (best)$2.50
Output$8.40$6.00 (best)$10.00
Cached input———
Blended (3:1)$4.20$1.95 (best)$4.38
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Alibaba APIMedian of 1 providersOfficial Cohere API
Limits
Context window131,072 tokens1,000,000 tokens (best)128,000 tokens
Max output8,192 tokens (best)8,192 tokens (best)4,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenProprietaryOpen
API model IDqwen2-5-vl-72b-instruct—command-r-plus-08-2024
API providers117 (best)
ReleasedSep 2024Apr 28, 2025Aug 30, 2024
Knowledge cutoffApr 2024—Jun 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
  • Palmyra X5$18.00
  • Command R+$45.00
04 — Questions

Which should you choose?

Which is better: Qwen2.5-VL 72B Instruct, Palmyra X5 or Command R+?

Palmyra X5 is the better all-round choice, scoring 48/100 against Qwen2.5-VL 72B Instruct (30) and Command R+ (22). It leads on price, inputs & features and context window. 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, Palmyra X5 or Command R+?

Palmyra X5 is cheaper at $0.60 input / $6.00 output per million tokens (median across 1 API provider). Qwen2.5-VL 72B Instruct costs $2.80 input / $8.40 output per million tokens (official Alibaba API price); Command R+ costs $2.50 input / $10.00 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $1.95 per million tokens for Palmyra X5 versus $4.20 for Qwen2.5-VL 72B Instruct (2.2× as much) and $4.38 for Command R+ (2.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Qwen2.5-VL 72B Instruct has not been scored yet, Palmyra X5 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, Palmyra X5 and Command R+ yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

Palmyra X5 has the largest context window at 1,000,000 tokens, against 131,072 for Qwen2.5-VL 72B Instruct and 128,000 for Command R+. Maximum output per response: Qwen2.5-VL 72B Instruct up to 8,192, Palmyra X5 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; Palmyra X5 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?

Qwen2.5-VL 72B Instruct and Command R+ publishes its weights and can be self-hosted; Palmyra X5 is proprietary.

Which is newer?

Palmyra X5 is the newest, released Apr 28, 2025. Qwen2.5-VL 72B Instruct came out 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.