编排:Minimax-m3
主观编排minimax-m3curation/models/minimax-m3.yml
这不是客观事实。 本页记录本站的梯队、星级、六维和情绪等主观判断,与模型事实页物理分离,仅编排员和管理员可修改。
<syntaxhighlight lang="yaml"> id: minimax-m3 tier: T1 stars: 5 composite: 89 stats:
code: 80 reasoning: 45 context: 88 speed: 65 multimodal: 88 value: 78
sentiment:
positive: 40 mixed: 25 negative: 35
radar: - axis: 长程任务
value: 85
- axis: 编程工程
value: 80
- axis: 抽象推理
value: 45
- axis: 上下文利用
value: 88
- axis: 中文能力
value: 88
- axis: 响应速度
value: 65
- axis: 稳定性
value: 45
- axis: 指令遵循
value: 62
- axis: 易用性
value: 72
- axis: 性价比
value: 78
danmaku: - text: Another model that has vision
platform: reddit main: true
- text: thinks for THOUSANDS of tokens
platform: reddit main: true
- text: prefer it to opus in agentic workflows
platform: reddit main: true
- text: M3 not far behind DS4
platform: hn main: true
- text: 平替天花板,体感超 Sonnet 4.6
platform: zhihu main: true
- text: 又背刺老用户,骂声一片
platform: v2ex main: true
- text: token plan is very cheap
platform: hn main: false
- text: It's open weights, not open source
platform: hn main: false
- text: M2.7 出好代码,M3 老出语法错误
platform: reddit main: false
- text: 实际成本 49 涨到 175,+257%
platform: v2ex main: false
- text: 1M 上下文真正可用而非仅标注
platform: zhihu main: false
- text: MSA 支持已合入 llama.cpp
platform: hn main: false
- text: 2.7T 参数模型在路上
platform: reddit main: false
- text: 长任务用 M3,小快活交给 M2.7
platform: reddit main: false
- text: M3?!!! So gooooooood!!!
platform: x main: false
</syntaxhighlight>