Updated May 2, 2026

AI Power Rankings

IndependentΒ·Frontier AI lab index
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Mistral AI

Paris, France

Europe's leading frontier AI lab; strong open-weight + commercial strategy.

Efforts: Mistral Large, Mixtral, Le Chat, La Plateforme
Rank
#12
Structural
7.05
Unweighted
7.07
vs #1
-2.41

Profile across ten areas

Area breakdown

🧠Model Quality
Core Engine Β· 18%
Devstral 2 (123B) hits 72.2% on SWE-bench Verified and Mistral Medium 3.5 (128B dense, 256K context, modified MIT license) hits 77.6% on SWE-bench Verified and 91.4% on τ³-Telecom β€” both released in late April 2026 with strong open-weights positioning; flagship still trails GPT-5.5, Claude Opus 4.7, and Gemini 3.1 Pro on broad reasoning benchmarks.
β€” Claude Opus 4.7
Claude: 7.6Claude: 7.3Gemini: 8.5GPT-5.5: 7.4
7.7
panel mean
πŸ”¬Research
Core Engine Β· 12%
Innovative MoE and dense architectures, efficient training methodologies, the new Vibe CLI remote-agent system, and a continued commitment to open-weight releases are meaningful contributions; research output volume and citation impact still lag the major US labs.
β€” Claude Opus 4.7
Claude: 7.0Claude: 6.8Gemini: 8.8GPT-5.5: 7.8
7.6
panel mean
πŸ—οΈProduct
Delivery Β· 10%
La Plateforme, Le Chat Enterprise, Mistral Code, Vibe, and cloud availability across Azure, AWS, GCP, IBM, Snowflake, NVIDIA, and Outscale give Mistral a credible platform; the limitation is smaller ecosystem depth and developer mindshare than the U.S. hyperscalers.
β€” GPT-5.5 Pro
Claude: 6.4Claude: 6.1Gemini: 8.0GPT-5.5: 7.8
7.1
panel mean
πŸ’°Business
Accelerants & Stabilizers Β· 5%
Mistral has become Europe's flagship AI lab, with reported valuation around 11.7B EUR, major enterprise customers, and meaningful multi-year contracts; the counterpoint is that revenue and compute resources remain much smaller than U.S. and Chinese giants.
β€” GPT-5.5 Pro
Claude: 6.6Claude: 6.6Gemini: 7.8GPT-5.5: 6.8
7.0
panel mean
⚑Compute
Core Engine Β· 14%
Mistral benefits from partnerships and European sovereign-AI infrastructure, plus cloud distribution through major providers; the limitation is that it does not control hyperscale compute comparable to Google, Microsoft, Amazon, Meta, or OpenAI.
β€” GPT-5.5 Pro
Claude: 5.7Claude: 5.7Gemini: 7.6GPT-5.5: 6.7
6.4
panel mean
πŸ›‘οΈSafety
Accelerants & Stabilizers Β· 6%
Aligns with EU AI Act regulatory framework and provides a 'European sovereign' AI option valued by EU institutions; but publishes less safety research than Anthropic or Google, and the 'less filtered' approach has both benefits and risks.
β€” Claude Opus 4.6
Claude: 6.1Claude: 6.1Gemini: 7.7GPT-5.5: 8.0
7.0
panel mean
πŸ‘₯Talent
Delivery Β· 10%
Mistral has attracted a strong European frontier-model team and is executing across research, products, and enterprise deployment; the limitation is that its headcount and compute-facing engineering bench are smaller than the global hyperscalers.
β€” GPT-5.5 Pro
Claude: 7.0Claude: 7.0Gemini: 8.6GPT-5.5: 7.6
7.6
panel mean
🌐Distribution
Delivery Β· 8%
Mistral reaches developers through open weights, Le Chat, La Plateforme, and integrations across major clouds; the limitation is that it lacks the native consumer or enterprise-platform distribution of Meta, Google, Microsoft, Amazon, Apple, or ByteDance.
β€” GPT-5.5 Pro
Claude: 4.9Claude: 4.9Gemini: 8.2GPT-5.5: 7.3
6.3
panel mean
🏰Data & Moats
Core Engine Β· 12%
Mistral's moat comes from European sovereignty positioning, open-model community trust, enterprise deployment flexibility, and cloud partnerships; the counterpoint is limited proprietary user, search, commerce, or OS-scale data.
β€” GPT-5.5 Pro
Claude: 4.7Claude: 4.7Gemini: 7.4GPT-5.5: 6.9
5.9
panel mean
πŸš€Momentum
Accelerants & Stabilizers Β· 5%
Mistral's recent cadence is very strong, with Mistral Medium 3.5, Vibe remote coding agents, Work mode in Le Chat, and workflow previews announced in late April 2026; the limitation is that scaling this momentum commercially requires far more capital and compute.
β€” GPT-5.5 Pro
Claude: 7.4Gemini: 8.4GPT-5.5: 8.8
8.2
panel mean

News log

Mistral AI β€” News Log

Tracked for AI Power Rankings scoring. Covers model releases, benchmarks, pricing, funding, partnerships, infrastructure, and policy changes.


2026-04-15 β€” Mistral Workflows launches in public preview

Published: 2026-04-15 | Logged: 2026-05-02T09:00Z | Area: Product & Platform

Mistral launched Workflows in public preview, a durable, observable AI orchestration layer in Studio and Le Chat. Supports production processes in Python with human-in-the-loop approvals, traceable execution, and enterprise deployment across cloud, on-prem, or hybrid environments.

Scoring impact: Positive for Product & Platform (enterprise orchestration capabilities).

Sources:


2026-04-28 β€” Mistral releases Devstral 2 coding model with 72.2% SWE-bench score

Published: 2026-04-28 | Logged: 2026-05-02T09:00Z | Area: Model Quality, Product & Platform

Mistral released Devstral 2, their next-generation coding model family in two sizes: Devstral 2 (123B) and Devstral Small 2 (24B). Devstral 2 achieves 72.2% on SWE-bench Verified and claims up to 7x more cost-efficiency than Claude Sonnet at real-world tasks. Mistral also launched Workflows, an enterprise orchestration layer for multi-step AI processes, now in public preview.

Scoring impact: Positive for Model Quality (strong SWE-bench performance). Boosts Product & Platform (enterprise Workflows platform).

Sources:


2026-04-29 β€” Mistral Medium 3.5 released: 128B dense model, 77.6% SWE-bench

Published: 2026-04-29 | Logged: 2026-05-02T09:00Z | Area: Model Quality, Research & Innovation

Mistral AI released Mistral Medium 3.5, a 128B dense model with 256K context window under modified MIT license. Achieves 77.6% on SWE-Bench Verified and 91.4% on τ³-Telecom. Can self-host on four GPUs. Also launched remote coding agents via Mistral Vibe CLI for cloud-based coding sessions that push PRs to GitHub. Work Mode in Le Chat now handles multi-step autonomous tasks.

Scoring impact: Strong Model Quality improvement (77.6% SWE-bench with open weights). Research & Innovation boosted (efficient dense architecture).

Sources:


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