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Fireworks AI(@FireworksAI_HQ)

Frontier models are powerful advisors.

8.7Score
Frontier models are powerful advisors.

TL;DR · AI Summary

Fireworks AI demonstrates that GLM 5.1, when using Claude Opus 4.7 as a sparse advisor in the Legal Agent Benchmark, achieves 18/100 all-pass versus 14/100 for Opus alone at 39% of the cost.

Key Takeaways

  • On the Legal Agent Benchmark, GLM 5.1 with Claude Opus 4.7 as a sparse advisor r
  • Using Claude Opus 4.7 alone yields 14/100, showing the significant boost from th
  • The combined approach costs only 39% of Claude Opus 4.7, demonstrating efficienc

Outline

Jump quickly between sections.

  1. Introduces the role and potential of frontier models as advisors in professional tasks.

  2. Outlines the Legal Agent Benchmark's evaluation criteria and scoring range (0–100).

  3. Explains Fireworks AI's combination architecture and the sparse advisor pattern.

  4. GLM 5.1 + Claude Opus 4.7 achieves 18/100 all-pass, significantly outperforming Opus's 14/100.

  5. The combined approach uses only 39% of Claude Opus 4.7's cost for the same tasks.

  6. Provides further details on harness design, advisor pattern, and training results with a link.

Mindmap

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查看大纲文本(无障碍 / 无 JS 友好)
  • 前沿模型的顾问架构
    • 基准与数据
    • 方法:harness + advisor
    • 结果:性能对比
    • 结果:成本效率
    • 延伸:设计与训练

Highlights

Key sentences worth saving and sharing.

  • GLM 5.1 + Claude Opus 4.7 as a sparse advisor achieves 18/100 all-pass on the Legal Agent Benchmark, versus 14/100 for Opus alone, a +28.6% improvement.

    正文

    ⬇︎ 下载 PNG𝕏 分享到 X
  • The combined approach achieves 39% of Claude Opus 4.7's cost for the same tasks, highlighting significant efficiency gains.

    正文

    ⬇︎ 下载 PNG𝕏 分享到 X
  • This demonstrates the effectiveness of the harness design and advisor pattern in professional agent tasks, offering an efficient alternative for resource-constrained scenarios.

    延伸说明

    ⬇︎ 下载 PNG𝕏 分享到 X
#Frontier Models#Legal Agent Benchmark#harness design#advisor pattern#Claude Opus 4.7
Open original article

On @harvey's Legal Agent Benchmark, a GLM 5.1 worker using Claude Opus 4.7 as a sparse advisor reached 18/100 all-pass versus 14/100 for Opus alone, at 39% of the cost.

More on the harness design, advisor pattern, and training results: https://t.co/04WZcF3q6k" / X

Fireworks AI on X: "Frontier models are powerful advisors. On @harvey's Legal Agent Benchmark, a GLM 5.1 worker using Claude Opus 4.7 as a sparse advisor reached 18/100 all-pass versus 14/100 for Opus alone, at 39% of the cost. More on the harness design, advisor pattern, and training results: https://t.co/04WZcF3q6k" / X

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Fireworks AI

@FireworksAI_HQ

Frontier models are powerful advisors. On

@harvey

's Legal Agent Benchmark, a GLM 5.1 worker using Claude Opus 4.7 as a sparse advisor reached 18/100 all-pass versus 14/100 for Opus alone, at 39% of the cost. More on the harness design, advisor pattern, and training results:

Image 2: Image

4:41 PM · Jun 3, 2026

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