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Comparison · 2 models · Updated Oct 4, 2026

Qwen Plus Character (Japanese) vs Qwen2.5-VL 7B Instruct

Qwen2.5-VL 7B Instruct comes out ahead, 51 to 36 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen Plus Character (Japanese)

    Released Jan 2024

    36/100
    • ECI—
    • Price$0.50 / $1.40
    • Context8K
    Full specs Remove Qwen Plus Character (Japanese)
  2. Our pick

    Alibaba (Qwen)

    Qwen2.5-VL 7B Instruct

    Released Sep 2024

    51/100
    • ECI—
    • Price$0.35 / $1.05
    • Context131K
    Full specs Remove Qwen2.5-VL 7B Instruct

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen2.5-VL 7B Instruct is our pick

Qwen2.5-VL 7B Instruct is the better all-round choice, scoring 51/100 against Qwen Plus Character (Japanese) (36). 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 priceQwen2.5-VL 7B InstructQwen2.5-VL 7B Instruct $0.525 · Qwen Plus Character (Japanese) $0.725 per 1M tokens (3:1 blend)
  • Longest contextQwen2.5-VL 7B InstructQwen2.5-VL 7B Instruct 131,072 · Qwen Plus Character (Japanese) 8,192 tokens
  • Widest inputsQwen2.5-VL 7B InstructQwen Plus Character (Japanese): Text · Qwen2.5-VL 7B Instruct: Text, Images
  • Self-hostingQwen2.5-VL 7B InstructPublishes downloadable weights
How the score is built
MeasureWeightQwen Plus Character (Japanese)Qwen2.5-VL 7B Instruct
Price50%5763
Inputs & features30%2550
Context window20%024
Overall100%36/10051/100

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.

Qwen Plus Character (Japanese) vs Qwen2.5-VL 7B Instruct specifications side by side
SpecificationQwen Plus Character (Japanese)Alibaba (Qwen)Qwen2.5-VL 7B InstructAlibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.50$0.35 (best)
Output$1.40$1.05 (best)
Cached input——
Blended (3:1)$0.725$0.525 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Alibaba API
Limits
Context window8,192 tokens131,072 tokens (best)
Max output512 tokens8,192 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsProprietaryOpen
API model IDqwen-plus-character-jaqwen2-5-vl-7b-instruct
API providers11
ReleasedJan 2024Sep 2024
Knowledge cutoffApr 2024Apr 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.

  • Qwen Plus Character (Japanese)$7.80
  • Qwen2.5-VL 7B Instruct$5.60
04 — Questions

Which should you choose?

Which is better: Qwen Plus Character (Japanese) or Qwen2.5-VL 7B Instruct?

Qwen2.5-VL 7B Instruct is the better all-round choice, scoring 51/100 against Qwen Plus Character (Japanese) (36). 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, Qwen Plus Character (Japanese) or Qwen2.5-VL 7B Instruct?

Qwen2.5-VL 7B Instruct is cheaper at $0.35 input / $1.05 output per million tokens (official Alibaba API price). Qwen Plus Character (Japanese) costs $0.50 input / $1.40 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for Qwen2.5-VL 7B Instruct versus $0.725 for Qwen Plus Character (Japanese) (1.4× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen Plus Character (Japanese) has not been scored yet and Qwen2.5-VL 7B Instruct has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen Plus Character (Japanese) and Qwen2.5-VL 7B Instruct 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 7B Instruct has the largest context window at 131,072 tokens, against 8,192 for Qwen Plus Character (Japanese). Maximum output per response: Qwen Plus Character (Japanese) up to 512, Qwen2.5-VL 7B Instruct up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Qwen Plus Character (Japanese) accepts text; Qwen2.5-VL 7B Instruct accepts text and images. Qwen2.5-VL 7B Instruct handles the widest range of inputs.

Are any of these open source?

Qwen2.5-VL 7B Instruct publishes its weights and can be self-hosted; Qwen Plus Character (Japanese) is proprietary.

Which is newer?

Qwen2.5-VL 7B Instruct is the newest, released Sep 2024. Qwen Plus Character (Japanese) came out Jan 2024. Knowledge cutoff: Qwen Plus Character (Japanese) Apr 2024, Qwen2.5-VL 7B Instruct Apr 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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