Model comparison
Qwen3-Sushi-MathCoder vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
Qwen3-Sushi-MathCoder
Not scored
value score
Gemini 2.5 Pro
93
value score
Qwen3-Sushi-MathCoder ctx
—
Gemini 2.5 Pro ctx
1.0M
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Gemini 2.5 Pro93
Attribute tape
| Field | Qwen3-Sushi-MathCoder | Gemini 2.5 Pro |
|---|---|---|
| Developer | kazako5er | Google DeepMind |
| Context | — | 1.0M |
| Modalities | Text, Code, Image, Audio, Video | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $1.25/1M in · $10/1M out |
| Value score | — | 93 |
| Summary | A community fine-tuned model derived from the Qwen3 family, optimized for coding and mathematical reasoning tasks. Published on Hugging Face by the individual account kazako5er, it is a custom adaptation rather than an official Qwen or Alibaba Cloud release. | Google frontier multimodal model. |