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title: Five European companies just agreed to buy AI compute...
description: Mistral AI announced it will host third-party open-weight models on its own infrastructure, starting with Z.ai's GLM-5.2, priced at $1.40 per million input...
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og:description: Mistral AI announced it will host third-party open-weight models on its own infrastructure, starting with Z.ai's GLM-5.2, priced at $1.40 per million input...
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# Five European companies just agreed to buy AI compute that doesn’t exist yet

**[The New Stack](https://daily.dev/sources/newstack)** · 5 min read · 0 upvotes · 0 comments

## Summary

Mistral AI announced it will host third-party open-weight models on its own infrastructure, starting with Z.ai's GLM-5.2, priced at $1.40 per million input tokens and $4.40 per million output tokens. The move accompanies regional inference endpoints for Europe and the US (adding a 10% cost premium) and a Priority Tier in public preview with a 99.5% uptime SLA. Regional endpoints currently lack support for Agents, Batch, and the Files API, and some account/usage data may still leave the selected region. Separately, Mistral announced European Compute Units (ECUs), multi-year compute commitments from companies including ASML, Amadeus, Capgemini, Caisse des Dépôts, and CMA CGM, without disclosing pricing, capacity, or delivery guarantees.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/mistral-third-party-open-models>

## Questions this post answers

### How much does GLM-5.2 cost through Mistral's API?

GLM-5.2, hosted by Mistral AI as zai-glm-5-2, costs $1.40 per million input tokens, $4.40 per million output tokens, and $0.14 per million cached input tokens. It offers a 1 million-token context window and is positioned mainly for coding and long-context agentic work, running on the same infrastructure as Mistral's own models.

_daily.dev helps engineers comparing hosted model pricing keep track of shifts like this._

### What features are missing from Mistral's regional inference endpoints?

Mistral's regional endpoints in Europe and the US don't yet support Agents, Batch, or the Files API, and only function calling is available; some models are missing depending on the region. Using the regional endpoint also adds a 10% surcharge on input, output, and cached tokens compared to the standard endpoint, and some account and usage data may still leave the selected region.

_teams weighing data-residency tradeoffs can follow infrastructure changes like this on daily.dev._

### How does Mistral's Priority Tier for API requests work?

Mistral's Priority Tier, in public preview with a 99.5% uptime SLA, queues eligible API calls ahead of Standard Tier traffic during high load. Access requires an arranged entitlement and custom rate limits per model; developers add service_tier: auto to a request, but it only gets prioritized if the entitlement, model coverage, rate limit, and regional capacity all align, otherwise it falls back to Standard Tier.

_developers tuning latency-sensitive API usage can track tiering changes like this via daily.dev._

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---

Tags: [#open-source](https://daily.dev/tags/open-source), [#architecture](https://daily.dev/tags/architecture), [#ai-infrastructure](https://daily.dev/tags/ai-infrastructure), [#ai-inference](https://daily.dev/tags/ai-inference), [#mistral-ai](https://daily.dev/tags/mistral-ai)

[View this post on daily.dev](https://daily.dev/posts/five-european-companies-just-agreed-to-buy-ai-compute-that-doesn-t-exist-yet-xsu2kxl2j)

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