Is Mistral Large 4 genuinely more capable than GPT-4 and Claude 3 in real-world multimodal tasks?

The skeptical reading is that the “more capable” claim may be an early marketing and benchmark story rather than a proven real-world result. Large 4’s independent evidence was not yet available, and prior Mistral testing suggests that coding, reasoning, writing, and long-form quality can lag established frontier systems even when cost or openness is attractive.

• Early reports explicitly say that independent results did not establish Large 4 as the strongest general-purpose model.
• Coverage noted that no independent benchmarks based on Large 4’s open weights were yet available.
• A practical user review of earlier Mistral models reported advantages in direct coding and cost, but said GPT-4 and Claude remained stronger for multistep refactoring, difficult reasoning, and explanations.
• A three-way benchmark of an earlier Mistral Large found it competitive but not quite at GPT-4 Turbo or Claude 3 Opus overall, despite strengths in European languages.
• Results from related Mistral comparisons are inconsistent across evaluators, so headline intelligence scores should not be treated as a direct answer about messy multimodal work.

Featured sourceMistral Large 4: Specs, Benchmarks, Pricing & Comparisonskingy.ai6 sourcesView sources