Will Mistral-Large be considered on par or better than GPT-5? (text)
Standard
19
Ṁ1262
2027
4%
chance

Introduction:

This market focuses on the comparison between Mistral-Large and GPT-5, two anticipated advancements in the field of Large Language Models (LLMs). As AI technology progresses rapidly, the emergence of new, more powerful models like Mistral-Large and GPT-5 is eagerly awaited. This market invites predictions on whether Mistral-Large will be recognized as equivalent to or superior than GPT-5 in terms of performance and capabilities.

Consideration of Naming Variations: While we anticipate the release of next-generation LLMs from OpenAI and Mistral, it's important to address potential variations in naming. Should the successors to the current models be released under different names, this market will adjust its focus to these new models, ensuring they represent significant advancements in the series. However, it's crucial to note that if OpenAI releases an intermediary update named GPT 4.5, this will not be considered the successor to GPT-4 for the purposes of this market. The focus will remain on a more substantial, full-version release, tentatively expected to be named GPT-5 or similar, signifying a major advancement over GPT-4. This distinction ensures that the market comparison is made between two models representing significant generational leaps in their respective series.

Resolution Criterion:

The market will resolve two months after both Mistral-Large and GPT-5 (or their respective successors, irrespective of naming) have been officially published. The criterion for resolution will be based on performance comparisons using 🏆 LMSYS Chatbot Arena Leaderboard (Mistral-Large's score need to >= that of GPT-5) or a similar reputable and objective benchmarking platform if Arena seize to exist.

1. Different Naming: If either model is released under a different name, the market will consider the successors of GPT-4 and the current Mistral model as the relevant entities for comparison.

2. Joint Developments: If the models are developed or released as a joint effort or collaboration, the market will resolve based on the combined performance of the collaborative model.

3. Partial or Incremental Releases: If the models are released incrementally or in parts, the market will resolve after the final, complete versions of both models are published.

4. Absence of Clear Benchmarks: In the absence of clear benchmarks or comparative analysis from Lmsys Arena or a similar platform, the market will use the consensus of expert opinion and published reviews in leading AI research forums and publications.

5. Non-Publication or Company Cessation: If neither model (or their named successors) is published before January 1, 2027, or if either of the companies (OpenAI or the entity behind Mistral) ceases to exist before releasing their next-generation model, the market will resolve as follows:

  • If only one model is published, the party that releases its model wins.

  • If neither model is published or if both companies cease to exist, the market will resolve as 'NA' (Not Applicable).

This approach ensures a fair and objective resolution, taking into account the dynamic nature of AI development and the potential variables that might arise.

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