Kimi K2 vs GPT-5 Pro vs Gemini Ultra : quelle IA GRATUITE gagne ?

Kimi K2 vs GPT-5 Pro vs Gemini Ultra : quelle IA GRATUITE gagne ?

Kimi K2 Thinking vs GPT 5 Pro and Gemini Ultra, who is the strongest?

🎙 Parlons IA 👥 17K 📅 November 18, 2025 ⏱ 19 min 👁 1K 📄 expert opinion 🧭 2026-09-08
Available in: English (current) Français

Keywords

Kimi K2GPT-5 ProGemini UltraAI comparisonfree AI

Summary

The video presents a comparative test of three advanced AI models: Kimi K2 Thinking (open-source), GPT-5 Pro (paid), and Gemini Ultra (paid). The creator conducts three practical challenges: coding a Mario-like game, creating a complex visual effect (nebula), and a legal research task. Kimi K2 Thinking, despite being free and open-source, performs impressively, especially in coding and agentic tasks, though it has some bugs. GPT-5 Pro delivers polished results but at a high cost. Gemini Ultra also performs well. The video also explains how to access Kimi K2 for free via Ollama and OpenRouter, and discusses its architecture (Mixture of Experts) and reasoning transparency. The creator concludes that Kimi K2 offers the best value for free, particularly for coding and structured tasks, while noting its limitations in creative writing and French language support.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides valuable hands-on comparisons of AI models, demonstrating their capabilities in real-world tasks. The argumentation is based on direct observations and practical tests, which adds credibility. However, the methodology is not rigorous (no controlled conditions, subjective evaluation), and the creator’s enthusiasm may bias the assessment. The value lies in the practical insights for users deciding which AI to use, especially highlighting the performance of the free open-source Kimi K2 against paid models.

Scientific Rigor, Source Quality, Title Accuracy

The video cites several sources in the description, including the official Kimi website, Hugging Face, Ollama, and artificialanalysis.ai, which are relevant and credible. However, the creator does not always provide specific citations during the video, and some claims (e.g., performance benchmarks) are not directly linked. The title accurately reflects the content, and the video is well-structured with clear chapters. The creator’s expertise is evident, but the lack of formal citations and rigorous testing methodology reduces the overall scientific rigor.

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Title / Content Match

The title accurately reflects the content, which compares three AI models to determine the best free option.

Quality & Reliability

6/10

The video provides a practical comparison of AI models based on hands-on tests, but the methodology is informal and lacks rigorous controls. The creator's expertise is evident, but claims are not always backed by verifiable data.

Chapters

Cited Sources

  • Kimi official website — Official site for Kimi AI models, referenced for accessing Kimi K2.
  • Hugging Face — Referenced in FAQ as a source for Kimi K2 Thinking model details.
  • Ollama — Referenced for running Kimi K2 locally and for model information.
  • Artificial Analysis — Referenced for performance comparisons between AI models.

Concurring Sources

  • Artificial Analysis — Provides independent benchmarks that may align with the video's claims about Kimi K2's performance.

Dissenting Sources

  • OpenAI official blog — OpenAI may claim superior performance for GPT-5 Pro, contradicting the video's suggestion that Kimi K2 is comparable.

External References

Contribution & Novelties

The video offers a practical, comparative analysis of a newly released open-source AI model (Kimi K2 Thinking) against established paid models, providing hands-on test results and free access methods. It highlights the model’s transparent reasoning process and agentic capabilities, which are often hidden in other models.

Pour aller plus loin :

  • Mixture of Experts — Explains the architecture used by Kimi K2.
  • Ollama — Tool for running AI models locally, as demonstrated in the video.
  • Hugging Face — Platform hosting open-source AI models, including Kimi K2.

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Radar Profile

The radar profile shows a balanced but moderate performance across all dimensions, with slightly higher scores in information quantity and technical level, reflecting the video's practical demonstrations and technical explanations, while quality and reliability are lower due to subjective testing and lack of rigorous methodology.

Reliability 5/10