ZMIME
Comparison · 2 models · Updated Nov 2, 2026

SOLAR 10.7B Instruct v1.0 vs Qwen Plus Character (Japanese)

Too close to call on our weighted score (SOLAR 10.7B Instruct v1.0 0, Qwen Plus Character (Japanese) 0). The right pick depends on what you value most.

  1. Upstage

    SOLAR 10.7B Instruct v1.0

    Released Dec 12, 2023

    0/100
    • ECI—
    • Price—
    • Context4K
    Full specs Remove SOLAR 10.7B Instruct v1.0

  2. Alibaba (Qwen)

    Qwen Plus Character (Japanese)

    Released Jan 2024

    0/100
    • ECI—
    • Price$0.50 / $1.40
    • Context8K
    Full specs Remove Qwen Plus Character (Japanese)

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (SOLAR 10.7B Instruct v1.0 0/100, Qwen Plus Character (Japanese) 0/100), so choose by what matters most for your work: Qwen Plus Character (Japanese) on price and Qwen Plus Character (Japanese) for long inputs. The score weighs inputs & features 60%, context window 40%. 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 Plus Character (Japanese)Qwen Plus Character (Japanese) $0.725 per 1M tokens (3:1 blend) · SOLAR 10.7B Instruct v1.0 unpriced
  • Longest contextQwen Plus Character (Japanese)Qwen Plus Character (Japanese) 8,192 · SOLAR 10.7B Instruct v1.0 4,096 tokens
  • Widest inputsSame inputsSOLAR 10.7B Instruct v1.0: Text · Qwen Plus Character (Japanese): Text
  • Self-hostingSOLAR 10.7B Instruct v1.0Publishes downloadable weights (CC-BY-NC-4.0)
How the score is built
MeasureWeightSOLAR 10.7B Instruct v1.0Qwen Plus Character (Japanese)
Inputs & features60%00
Context window40%00
Overall100%0/1000/100

Left out because at least one model lacks the data: capability and price. 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.

SOLAR 10.7B Instruct v1.0 vs Qwen Plus Character (Japanese) specifications side by side
SpecificationSOLAR 10.7B Instruct v1.0UpstageQwen Plus Character (Japanese)Alibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input—$0.50
Output—$1.40
Cached input——
Blended (3:1)—$0.725
Long-context rate—Same rate
Price source—Official Alibaba API
Limits
Context window4,096 tokens8,192 tokens (best)
Max output4,096 tokens (best)512 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingNoNo
Structured outputNoNo
Availability
WeightsOpenCC-BY-NC-4.0Proprietary
API model ID—qwen-plus-character-ja
API providers—1
ReleasedDec 12, 2023Jan 2024
Knowledge cutoff—Apr 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.

  • SOLAR 10.7B Instruct v1.0—
  • Qwen Plus Character (Japanese)$7.80
04 — Questions

Which should you choose?

Which is better: SOLAR 10.7B Instruct v1.0 or Qwen Plus Character (Japanese)?

It is close. Our weighted score puts them within a point (SOLAR 10.7B Instruct v1.0 0/100, Qwen Plus Character (Japanese) 0/100), so choose by what matters most for your work: Qwen Plus Character (Japanese) on price and Qwen Plus Character (Japanese) for long inputs. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, SOLAR 10.7B Instruct v1.0 or Qwen Plus Character (Japanese)?

Qwen Plus Character (Japanese) is cheaper at $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 $0.725 per million tokens for Qwen Plus Character (Japanese) versus . SOLAR 10.7B Instruct v1.0 has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. SOLAR 10.7B Instruct v1.0 has not been scored yet and Qwen Plus Character (Japanese) has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for SOLAR 10.7B Instruct v1.0 and Qwen Plus Character (Japanese) yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that SOLAR 10.7B Instruct v1.0 and Qwen Plus Character (Japanese) does not support tool calling, which most coding agents need.

Which has the bigger context window?

Qwen Plus Character (Japanese) has the largest context window at 8,192 tokens, against 4,096 for SOLAR 10.7B Instruct v1.0. Maximum output per response: SOLAR 10.7B Instruct v1.0 up to 4,096, Qwen Plus Character (Japanese) up to 512 tokens.

Which can read images, PDFs, audio or video?

SOLAR 10.7B Instruct v1.0 accepts text; Qwen Plus Character (Japanese) accepts text. They handle the same number of input types.

Are any of these open source?

SOLAR 10.7B Instruct v1.0 publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Qwen Plus Character (Japanese) is proprietary.

Which is newer?

Qwen Plus Character (Japanese) is the newest, released Jan 2024. SOLAR 10.7B Instruct v1.0 came out Dec 12, 2023. Knowledge cutoff: Qwen Plus Character (Japanese) 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 Nov 2, 2026.

05 — Keep comparing

Related comparisons