Hermes 4 - Llama-3.1 70B (Reasoning)

Hermes 4 - Llama-3.1 70B (Reasoning)

Nous Researchtext

API Available

Specifications

Context Window

Input Price/1M

$0.13

Output Price/1M

$0.40

Parameters

Speed

91 tok/s

Latency (TTFT)

625ms

Benchmarks

Hermes 4 - Llama-3.1 70B (Reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Agentic

BenchmarkScoreMaximumMethodology
Terminal-Bench Hard5.0100.0

Coding

BenchmarkScoreMaximumMethodology
LiveCodeBench65.0100.0
SciCode34.0100.0
AA Coding Index14.4100.0

Knowledge

BenchmarkScoreMaximumMethodology
MMLU-Pro81.0100.0

Long Context

BenchmarkScoreMaximumMethodology
AA-LCR7.0100.0

Math

BenchmarkScoreMaximumMethodology
AIME 202569.0100.0
AA Math Index68.7100.0

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index16.0100.0

Reasoning

BenchmarkScoreMaximumMethodology
GPQA Diamond70.0100.0
IFBench31.0100.0
HLE8.0100.0

Tool Use

BenchmarkScoreMaximumMethodology
Tau²-Bench23.0100.0

Information

Release date
August 27, 2025
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: Hermes 4 - Llama-3.1 70B (Reasoning)

What is Hermes 4 - Llama-3.1 70B (Reasoning)?

Hermes 4 - Llama-3.1 70B (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

Hermes 4 - Llama-3.1 70B (Reasoning) is usage-based, priced at $0.13/1M input tokens and $0.4/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.

Benchmarks & Performance

Hermes 4 - Llama-3.1 70B (Reasoning) was evaluated on 13 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show solid 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

Hermes 4 - Llama-3.1 70B (Reasoning) specializes in text, offering advanced capabilities for creating and processing text content.

Comparison with Alternatives

In the 2026 AI model ecosystem, Hermes 4 - Llama-3.1 70B (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 Hermes 4 - Llama-3.1 70B (Reasoning)?

Hermes 4 - Llama-3.1 70B (Reasoning) is an AI model developed by Nous Research. It is a text model.

How much does Hermes 4 - Llama-3.1 70B (Reasoning) cost?

Hermes 4 - Llama-3.1 70B (Reasoning) costs $0.13/1M input tokens and $0.4/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.

How does Hermes 4 - Llama-3.1 70B (Reasoning) compare with other models?

In available benchmarks, Hermes 4 - Llama-3.1 70B (Reasoning) scored: Terminal-Bench Hard: 5/100, LiveCodeBench: 65/100, SciCode: 34/100. See the full table above for a detailed comparison.

Is Hermes 4 - Llama-3.1 70B (Reasoning) open source?

No, Hermes 4 - Llama-3.1 70B (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 Hermes 4 - Llama-3.1 70B (Reasoning) best for?

Hermes 4 - Llama-3.1 70B (Reasoning) excels at general-purpose language tasks.

Last updated: June 01, 2026 View methodology →