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petmal/MindTrial

MindTrial: Evaluate and compare AI language models (LLMs) on text-based tasks with optional file/image attachments and tool use. Supports multiple providers (OpenAI, Google, Anthropic, DeepSeek, Mistral AI, xAI, Alibaba, Moonshot AI, OpenRouter), custom tasks in YAML, and HTML/CSV/JSON reports.

#LLM evaluation
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21
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1 contributors
Mozilla Public License 2.0
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Momentum

How fast petmal/MindTrial is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 3 – Oct 26, 2026

Stars +4 in 54 days

01
1

Forks +0 in 54 days

01

Merged PRs 0 in 54 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 3Sep 10Sep 17Sep 24Oct 1Oct 8Oct 15Oct 22
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Thu, Sep 3, 2026+1+00
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Total+4+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Oct 42 posts

    • Benchmark notes: GPT-6.1 Sol improves with fewer tokens than 5.6 Sol, but still behind Astra

      Read full on Reddit

      r/GPT3

    • Benchmark notes: Sonnet 5.5 jumps from 72 to 94/98; Opus 5.5 reaches 96/98 with much less request time

      Read full on Reddit

      r/ClaudeAI

  2. 19 days earlier
  3. Sep 151 post

    • Benchmark notes: DeepSeek V4.1’s JSON rerun regresses

      Read full on Reddit

      r/DeepSeek

  4. 7 days earlier
  5. Sep 82 posts3 posts

    • Benchmark notes: GPT-6 Astra sets a new high

      Read full on Reddit

      r/GPT6

    • Benchmark notes: Muse Spark 1.3 is a much stronger and faster model than 1.2

      Read full on Reddit

      r/MetaMuseSpark

    • Qwen3.8-Max-0902 looks like a substantial upgrade

      Read full on Reddit

      r/Qwen_AI

  6. Sep 31 post

    • Gemini 3.8 Flash: more effort, similar result

      Read full on Reddit

      r/Bard

  7. Sep 21 post

    • Benchmark notes: Fable 5.1 reaches 90/98, with a significant jump in visual performance

      Read full on Reddit

      r/ClaudeAI

  8. Sep 11 post

    • Benchmark notes: DeepSeek V4 Flash Vision Exp

      Read full on Reddit

      r/DeepSeek

  9. 24 days earlier
  10. Aug 81 post

    • Benchmark notes: Kimi K3 reaches 88/98; Qwen3.8-Max is stronger than its score looks; Gemini 3.6 Flash slips vs 3.5

      Read full on Reddit

      r/Qwen_AI

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