hf trending·minimax-minimax-m1
MiniMax: MiniMax M1
MiniMax: MiniMax M1: MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
AgentScore
49.4+27.59
+27.59 vs 24h ago
Adoption0.0
Quality100.0
Momentum60.0
Community—
Quality unrated · weight redistributed
CapabilitiesRag
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→ 0.0
Pillar = mean of 1 scaled value = 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), Wikipedia views (30d), OpenRouter tokens (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, GitHub mentions (7d)
Model facts
Sourced from OpenRouter. Refreshes daily.
- Provider
- minimax
- Context
- 1.0M
- Max output
- 40k
- Modality
- text->text
- Input price
- $0.40/M
- Output price
- $2.20/M
- Tokenizer
- Other
- Moderated
- No
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HTML
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Benchmarks
| Benchmark | Score | Max | Captured |
|---|---|---|---|
| lmarena | 1339.80 | — | 2h ago |
Similar
Vibe-search via embedding cosine
Score envelope last computed 5m ago.