DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning)

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning)

Nous Researchtext

API Available

Specifications

Context Window

Input Price/1M

Output Price/1M

Parameters

00

Benchmarks

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Coding

BenchmarkScoreMaximumMethodology
SciCode9.0100.0
LiveCodeBench9.0100.0Artificial Analysis official API

Knowledge

BenchmarkScoreMaximumMethodology
MMLU-Pro37.0100.0

Math

BenchmarkScoreMaximumMethodology
MATH-50021.8100.0Artificial Analysis official API

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index7.6100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
MMLU Pro36.5100.0Artificial Analysis official API
GPQA Diamond27.0100.0Artificial Analysis official API
HLE4.0100.0

Information

Release date
February 13, 2025
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning)

What is DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning)?

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) is an AI model developed by Nous Research, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Nous Research's cloud API.

Pricing & Costs in 2026

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Nous Research's official website for up-to-date availability and pricing.

Benchmarks & Performance

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) was evaluated on 8 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show moderate performance across available evaluations.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) specializes in text, offering advanced capabilities for creating and processing text content.

Comparison with Alternatives

In the 2026 AI model ecosystem, DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) competes directly with similarly capable models. Nous Research competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.

Frequently Asked Questions

What is DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning)?

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) is an AI model developed by Nous Research. It is a text model.

How much does DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) cost?

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) does not have public per-token pricing available at this time. Check Nous Research's official website for up-to-date information.

How does DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) compare with other models?

In available benchmarks, DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) scored: SciCode: 9/100, LiveCodeBench: 9/100, MMLU-Pro: 37/100. See the full table above for a detailed comparison.

Is DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) open source?

No, DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) is a proprietary model from Nous Research. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) best for?

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) excels at general-purpose language tasks.

Last updated: June 01, 2026 View methodology →