hf trending·qwen-qwen3-30b-a3b-instruct-2507
Qwen: Qwen3 30B A3B Instruct 2507
Qwen: Qwen3 30B A3B Instruct 2507: Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
AgentScore
46.0+24.18
+24.18 vs 24h ago
Adoption0.0
Quality100.0
Momentum60.0
Community—
Quality unrated · weight redistributed
DeploymentSaas
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- HN mentions (7d)0→ 0.0GitHub mentions (7d)0→ 0.0Wikipedia views (30d)0→ 0.0
Pillar = mean of 3 scaled values = 0.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Reddit mentions (7d), Bluesky mentions (7d), OpenRouter tokens (30d), GitHub repos using this model, Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), GitHub stars
Model facts
Sourced from OpenRouter. Refreshes daily.
- Provider
- qwen
- Context
- 262k
- Max output
- 262k
- Modality
- text->text
- Input price
- $0.09/M
- Output price
- $0.30/M
- Tokenizer
- Qwen3
- Moderated
- No
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Benchmarks
| Benchmark | Score | Max | Captured |
|---|---|---|---|
| lmarena | 1397.60 | — | 4h ago |
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Score envelope last computed 5m ago.