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Menlo Ventures - 2025 Mid-Year LLM Market Update
webA venture capital market report useful for understanding the commercial trajectory of frontier LLMs; relevant for tracking capability diffusion, deployment trends, and competitive dynamics among major AI labs, though not focused on safety research.
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Summary
Menlo Ventures' mid-2025 report analyzes the enterprise LLM market, finding that Anthropic has surpassed OpenAI in enterprise usage, model API spending has more than doubled to $8.4B, and AI spend is shifting from training to inference. Key findings include that enterprises switch models for performance rather than price, and open-source adoption has plateaued.
Key Points
- •Enterprise LLM API spending more than doubled in 6 months, from $3.5B to $8.4B, signaling rapid scaling of production inference deployments.
- •Anthropic has surpassed OpenAI as the leading enterprise LLM provider by usage, representing a major market share shift.
- •Open-source model adoption in enterprises has flattened, as frontier closed-source models maintain a performance edge.
- •Enterprises prioritize model performance over cost when switching providers, challenging assumptions about commoditization.
- •AI compute spend is visibly shifting from pre-training/development to inference, reflecting maturation of production AI workloads.
Cited by 2 pages
| Page | Type | Quality |
|---|---|---|
| Open vs Closed Source AI | Crux | 60.0 |
| Anthropic Valuation Analysis | Analysis | 72.0 |
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PerspectivePortfolioReport
# 2025 Mid-Year LLM Market Update: Foundation Model Landscape + Economics
A new enterprise LLM leader has emerged as usage and spend surge.
July 31, 2025
[Tim Tully](https://menlovc.com/team/tim-tully/), [Joff Redfern](https://menlovc.com/team/joff-redfern/), [Deedy Das](https://menlovc.com/team/deedy-das/), [Derek Xiao](https://menlovc.com/team/derek-xiao/)
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Table of Contents
[Anthropic Surpasses OpenAI in Enterprise Usage](https://menlovc.com/perspective/2025-mid-year-llm-market-update/#blog-item-0)
[Open-Source Adoption in the Enterprise Flattens](https://menlovc.com/perspective/2025-mid-year-llm-market-update/#blog-item-1)
[Enterprises Switch Models for Performance, Not Price](https://menlovc.com/perspective/2025-mid-year-llm-market-update/#blog-item-2)
[AI Spend Is Moving from Training to Inference](https://menlovc.com/perspective/2025-mid-year-llm-market-update/#blog-item-3)
[Where We Go from Here](https://menlovc.com/perspective/2025-mid-year-llm-market-update/#blog-item-4)
**Foundation models are not just powering generative AI. They are shaping the future of computing.** As their capabilities and economics evolve, so will the systems, applications, and industries built on top of them.
When we released Menlo Ventures’ [2024: The State of Generative AI in the Enterprise](https://menlovc.com/2024-the-state-of-generative-ai-in-the-enterprise/) report last November, several critical questions about this foundational layer remained unanswered:
- Would demand for LLM APIs keep pace with the growth of consumer applications?
- How smart will these models get, and how fast will they get there?
- Would open-source models catch up to closed-source fronti
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