Elon Musk Mulled Mistral Deal to Take on OpenAI and Anthropic, Reports Say

Why It Matters

The alliance would give xAI access to European model expertise and a powerful code‑editing platform, accelerating its race against dominant U.S. AI firms and potentially reshaping the competitive landscape.

Key Takeaways

• xAI explored a three‑way partnership with Mistral AI and Cursor.
• Mistral, valued at $13.6 bn, is Europe’s top AI competitor.
• SpaceX’s $60 bn acquisition of Cursor follows its $250 bn purchase of xAI.
• xAI posted a $6.4 bn loss in 2025, widening 2024 deficit.

Pulse Analysis

Musk’s xAI, still in its infancy compared with OpenAI and Anthropic, has struggled financially, reporting a $6.4 bn loss in 2025 after a $1.56 bn deficit the previous year. The venture, backed by SpaceX’s $250 bn acquisition, is racing to build large‑scale infrastructure like the Colossus supercomputer. Partnering with Mistral and Cursor could provide the missing pieces—advanced European language models and a sophisticated code‑editing engine—to accelerate product development and attract enterprise customers.

Mistral AI, founded in 2023, quickly became Europe’s most valuable AI startup, reaching a $13.6 bn valuation after raising $3.2 bn. Its rapid growth reflects a broader European push to create home‑grown alternatives to U.S. AI behemoths, supported by strategic investors such as ASML. By aligning with xAI, Mistral would gain access to Musk’s capital and the U.S. market, while offering its cutting‑edge models to bolster Grok’s capabilities, potentially narrowing the performance gap with ChatGPT and Claude.

The prospective trio signals a shift in the AI competitive landscape. If the partnership materializes, xAI could leverage Mistral’s research talent and Cursor’s developer tools to launch more robust offerings, challenging OpenAI’s $852 bn valuation and Anthropic’s emerging $1 tn market cap. Analysts see this as a test of whether cross‑border collaborations can overcome the entrenched dominance of U.S. tech giants, with implications for future funding, talent migration, and regulatory scrutiny. The outcome may set a precedent for how emerging AI firms scale globally.