ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Qwen Plus vs Qwen Plus Character (Japanese) vs Sonar

Qwen Plus comes out ahead, 53 to 36 and 30 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Alibaba (Qwen)

    Qwen Plus

    Released Jan 25, 2024

    53/100
    • ECI—
    • Price$0.40 / $1.20
    • Context1M
  2. Alibaba (Qwen)

    Qwen Plus Character (Japanese)

    Released Jan 2024

    36/100
    • ECI—
    • Price$0.50 / $1.40
    • Context8K
  3. Perplexity

    Sonar

    Released Jan 1, 2024

    30/100
    • ECI—
    • Price$1.00 / $1.00
    • Context128K
01 — Verdict

Qwen Plus is our pick

Qwen Plus is the better all-round choice, scoring 53/100 against Qwen Plus Character (Japanese) (36) and Sonar (30). 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 priceQwen PlusQwen Plus $0.60 · Qwen Plus Character (Japanese) $0.725 · Sonar $1.00 per 1M tokens (3:1 blend)
  • Longest contextQwen PlusQwen Plus 1,000,000 · Sonar 128,000 · Qwen Plus Character (Japanese) 8,192 tokens
  • Widest inputsSame inputsQwen Plus: Text · Qwen Plus Character (Japanese): Text · Sonar: Text
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightQwen PlusQwen Plus Character (Japanese)Sonar
Price50%605750
Inputs & features30%35250
Context window20%60024
Overall100%53/10036/10030/100

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 vs Qwen Plus Character (Japanese) vs Sonar specifications side by side
SpecificationQwen PlusAlibaba (Qwen)Qwen Plus Character (Japanese)Alibaba (Qwen)SonarPerplexity
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.40 (best)$0.50$1.00
Output$1.20$1.40$1.00 (best)
Cached input———
Blended (3:1)$0.60 (best)$0.725$1.00
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Alibaba APIOfficial Perplexity API
Limits
Context window1,000,000 tokens (best)8,192 tokens128,000 tokens
Max output32,768 tokens (best)512 tokens4,096 tokens
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesNoNo
Tool callingYesYesNo
Structured outputNoNoNo
Availability
WeightsProprietaryProprietaryProprietary
API model IDqwen-plusqwen-plus-character-jasonar
API providers9 (best)16
ReleasedJan 25, 2024Jan 2024Jan 1, 2024
Knowledge cutoffApr 2024Apr 2024Sep 1, 2025
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$6.40
  • Qwen Plus Character (Japanese)$7.80
  • Sonar$12.00
04 — Questions

Which should you choose?

Which is better: Qwen Plus, Qwen Plus Character (Japanese) or Sonar?

Qwen Plus is the better all-round choice, scoring 53/100 against Qwen Plus Character (Japanese) (36) and Sonar (30). 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, Qwen Plus Character (Japanese) or Sonar?

Qwen Plus is cheaper at $0.40 input / $1.20 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); Sonar costs $1.00 input / $1.00 output per million tokens (official Perplexity API price). At a typical mix of three input tokens to one output token, that is $0.60 per million tokens for Qwen Plus versus $0.725 for Qwen Plus Character (Japanese) (1.2× as much) and $1.00 for Sonar (1.7× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Qwen Plus has not been scored yet, Qwen Plus Character (Japanese) has not been scored yet and Sonar has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen Plus, Qwen Plus Character (Japanese) and Sonar yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Sonar does not support tool calling, which most coding agents need.

Which has the bigger context window?

Qwen Plus has the largest context window at 1,000,000 tokens, against 128,000 for Sonar and 8,192 for Qwen Plus Character (Japanese). Maximum output per response: Qwen Plus up to 32,768, Qwen Plus Character (Japanese) up to 512, Sonar up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Qwen Plus accepts text; Qwen Plus Character (Japanese) accepts text; Sonar accepts text. They handle the same number of input types.

Are any of these open source?

No. Qwen Plus, Qwen Plus Character (Japanese) and Sonar are proprietary and only available through APIs and apps.

Which is newer?

Qwen Plus is the newest, released Jan 25, 2024. Qwen Plus Character (Japanese) came out Jan 2024; Sonar came out Jan 1, 2024. Knowledge cutoff: Qwen Plus Apr 2024, Qwen Plus Character (Japanese) Apr 2024, Sonar Sep 1, 2025.

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.