update TextBench
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        README.md
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    | @@ -86,7 +86,7 @@ and long context tasks. With efficient scaling of test-time compute, MiniMax-M1 | |
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            foundation for next-generation language model agents to reason and tackle real-world challenges. 
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            <p align="center">
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              <img width="100%" src="figures/TextBench. | 
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              <br>
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              <small><em>Benchmark performance comparison of leading commercial and open-weight models across competition-level mathematics, coding, software engineering, agentic tool use, and long-context understanding tasks. We use the MiniMax-M1-80k model here for MiniMax-M1.</em></small>
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            </p>
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            foundation for next-generation language model agents to reason and tackle real-world challenges. 
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            <p align="center">
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              <img width="100%" src="figures/TextBench.png">
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              <br>
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              <small><em>Benchmark performance comparison of leading commercial and open-weight models across competition-level mathematics, coding, software engineering, agentic tool use, and long-context understanding tasks. We use the MiniMax-M1-80k model here for MiniMax-M1.</em></small>
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            </p>
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