Hermes 4 70B
Unavailable in this round
Nous Research
Hermes 4 70B combines an explicit reasoning mode with direct answers and structured JSON on top of Llama 3.1 70B.
Nous Research describes roughly 5 million samples and 60 billion tokens in post-training compared with Hermes 3, along with stronger steerability and schema adherence. The technical report gives 56 billion tokens for a different training setup, so those figures are not interchangeable.
| Specification | Value and source |
|---|---|
| Weights | Open weightsSource |
| Access | LocalSource |
| Parameters | 70BSource |
| Context window | 131,072 tokensSource |
| License | Llama 3.1 Community LicenseSource |
| Parameters | 70 BSource |
| Architecture | dense Llama 3.1 decoder-only transformer, 80 layersSource |
| Input | TextSource |
| Output | TextSource |
| Reasoning mode | hybrid mode; model can emit explicit <think> reasoning or answer in non-reasoning modeSource |
| Tool calling | YesSource |
| Structured output | YesSource |
| Post-training samples | 5,000,000Source |
| Post-training tokens | 60 B (The technical report separately states 56B training tokens for its reported setup.)Source |
| Training tokens | 56 B (Do not silently merge this report-wide figure with the card's approximately 60B post-training description.)Source |
| Training context | 16,384 tokensSource |
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These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
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One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Unavailable in this round
38.5 / 100
Official documentation
Nous Research's own model card carries a 'What's new vs Hermes 3' section documenting the post-training corpus growing 'from 1M samples and 1.2B tokens to ~5M samples / ~60B tokens' plus added hybrid reasoning, framing Hermes 4 70B as the update to Hermes 3 70B at the same parameter tier; the card does not use the word 'successor' explicitly.
Hermes 4 70B model card (Hugging Face) (2026-09-19)| Type | Evidence and data date |
|---|---|
| Input | Documented modalities. Retrieved September 8, 2026. |
| Output | Documented modalities. Retrieved September 8, 2026. |
| Research status | Research date September 8, 2026. 4 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication. |
| Not found in the inspected sources | active-parameters-billions Original wording The exact model is a dense 70B model; no separate active-parameter count applies. |
| Not found in the inspected sources | knowledge-cutoff Original wording The exact card/report does not publish a knowledge cutoff. |
| Additional source | API pricing |
| Additional source | Hermes 4 Technical Report Table 4 (retrieved September 8, 2026) |
| Additional source | Artificial Analysis (retrieved September 8, 2026) |
| Additional source | Model metadata (retrieved September 8, 2026) |
| Additional source | Nous Research Hermes 4 technical report · Editorial description reviewed October 2, 2026 |
| Additional source | OpenRouter: Popularity index (derived), CC BY 4.0 |
| Additional source | Vercel AI Gateway: Popularity index (derived), CC BY 4.0 |
| Additional source | Creative Commons Attribution 4.0 |