BenchmarksMiniMaxToday
MiniMax M1 80k Benchmark Update
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
View sourceMiniMax
Lower-context MiniMax M1 variant optimized for shorter production interactions and compatible with self-hosted open-weight deployment.
Running this yourself: can likely run on your own machine.
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30.5
Quality Score
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Arena ELO
80.0K
Parameters
80K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
15 of 22 public signals
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Mar 2026
Released
4/5 signals
3/4 signals
3/5 signals
1/4 signals
4/4 signals
Parameters
456B
Training compute
4.3e24 FLOP
Dataset scale
7.5T units
Base model
MiniMax-Text-01
Source-reported access: Open weights (unrestricted) · Likely confidence
Gaps we are still tracking
Benchmarks
20
Open Source
1
General
2
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
View sourceQuality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
View sourceQuality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
View sourceQuality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
View sourceQuality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
Quality: 11.7/100 | Price: $0.963/M tokens | Output: 0 tok/s | MMLU: 0.816% | HumanEval: 0.711%
MiniMax-M1 launches as world's first open-source hybrid-attention reasoning model. Lightning Attention mechanism, CISPO RL algorithm, million-token context, top SWE-bench performance. Free usage + low
MiniMax 开源新评测集：定义Coding Agent 的生产级标准 - MiniMax News | MiniMax 模型 语言模型 MiniMax M3 MiniMax M2.7 MiniMax M2.5 视频生成 MiniMax H3 语音&音乐 MiniMax Speech 2.8 MiniMax Music 3.0 产品 MiniMax Code MiniMax Design 语音 星野 API 订阅 研究 关于我们 与所有人共创智能 公司介绍 新闻 投资者关系 加入我们 EN 模型 语言模型 MiniMax M3 NEW MiniMax M2.7 MiniMax M2.5 视频生成 MiniMax H3 NEW 语音&音乐 MiniMax Speech 2.8 NEW MiniMax Music 3.0 NEW 产品 MiniMax Code NEW MiniMax Design 语音 星野 API 订阅 研究 关于我们 与所有人共创智能 公司介绍 新闻 投资者关系 加入我们 English 2026.1.15 M