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Crypto Briefing • October 7th 2026, 4:12 PM

Nous Research launches Hermes Index to benchmark agentic AI models

Key Summary

Nous Research has launched the Hermes Index, an open-source benchmarking system for agentic AI models. The index evaluates models' performance and cost across four test suites, ranking 14 models in its first edition. The system aims to settle the debate on which AI model performs best and at what cost, providing practical insights for enterprises. Nous Research secured $90 million in new funding to scale enterprise deployments of its Hermes technology.

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Benchmarking the Best

The Hermes Index measures model performance and cost across four test suites. It averages scores across those benchmarks and calculates a mean cost per task for each model.

Performance Rankings

Nous Research tested 14 different models in the first edition of the index. Claude Opus 5.5 led the rankings with a score of 63.31. Its average cost came in at $4.99 per task.

Cost Comparison

In second place sat GPT-6 Astra, which scored 56.25. Its average task cost was $11.61, more than double what the top model charged.

Scaling Enterprise Deployments

Nous Research secured $90 million in new funding to scale enterprise deployments of its Hermes technology. The company now carries a valuation of $1.5 billion.

Background

Nous Research was founded in 2023. Hermes Agent arrived in February 2026, and the Hermes Index now gives the lab a way to publicly grade the industry's biggest models on its own turf.

Future Implications

For enterprises, the cost comparison is practical. A company running thousands of agent tasks a day cares less about a few points of benchmark score and more about the total bill. The gap between $11.61 and $2.82 per task compounds quickly at scale.
#AI#AgenticAI#NousResearch#OpenSource#HermesIndex#EnterpriseAI

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