nousresearch · Open weights
Hermes 4 Large (Thinking)
Hermes 4 Large with thinking enabled. Streams visible reasoning before the final answer and supports structured outputs.
- Structured output
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.30
- Output
- $1.20
Reference prices as published by the model provider. API example
Specifications
- Context window
- 128K
- Max output
- 8.2K
- Average output (7 days)
- 1K tokens
- Longer than 70% of 468 models
Side by side
Hermes 4 Large (Thinking) compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Hermes 4 Large (Thinking)nousresearchThis model | Nvidia Nemotron Super 49BnvidiaRemove | |
|---|---|---|
| Provider | nousresearch | nvidia |
| Discovery tier | Open weights | Open weights |
| Added | Jan 1, 2024 | Aug 8, 2025 |
| Limits | ||
| Context window | 128K | 128K |
| Max output | 8.19K | 16.38KBest |
| Average output | 1K tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $0.30 | $0.15Best |
| Output | $1.20 | $0.15Best |
| Performance | ||
| Throughput | 45.0 tok/s | — |
| Time to first token | 0.9 s | — |
| Request success (24h) | 100.0% | — |
| Benchmark indexes | ||
| Intelligence Index | 7.5Best | 7.3 |
| Math Index | 69.7Best | 7.7 |
| Capabilities | ||
| Structured output | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Hermes 4 Large (Thinking)
- Nvidia Nemotron Super 49B
Intelligence Index
- Hermes 4 Large (Thinking)7.5
- Nvidia Nemotron Super 49B7.3
Hermes 4 Large (Thinking): Better than 11% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- Hermes 4 Large (Thinking): 69.7Top
- Nvidia Nemotron Super 49B: 7.7
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Hermes 4 Large (Thinking): 22.3%Top
- Nvidia Nemotron Super 49B: 12.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Hermes 4 Large (Thinking): 10.9%Top
- Nvidia Nemotron Super 49B: 3.8%
GPQA Diamond
Graduate-level science questions
- Hermes 4 Large (Thinking): 72.7%Top
- Nvidia Nemotron Super 49B: 51.7%
MMLU-Pro
Multi-subject knowledge and reasoning
- Hermes 4 Large (Thinking): 82.9%Top
- Nvidia Nemotron Super 49B: 69.8%
IFBench
Following precise output instructions
- Hermes 4 Large (Thinking): 32.7%
- Nvidia Nemotron Super 49B: 39.5%Top
Coding
LiveCodeBench
Recent competitive programming problems
- Hermes 4 Large (Thinking): 68.6%Top
- Nvidia Nemotron Super 49B: 28.0%
Math
AIME 2025
Competition mathematics, 2025 problems
- Hermes 4 Large (Thinking): 69.7%Top
- Nvidia Nemotron Super 49B: 7.7%
AIME
Competition mathematics
- Hermes 4 Large (Thinking): —
- Nvidia Nemotron Super 49B: 19.3%
MATH-500
Competition math problems
- Hermes 4 Large (Thinking): —
- Nvidia Nemotron Super 49B: 77.5%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Hermes 4 Large (Thinking): 11.4%Top
- Nvidia Nemotron Super 49B: 0.0%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Hermes 4 Large (Thinking): 22.2%
- Nvidia Nemotron Super 49B: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Hermes 4 Large (Thinking): 22.3%Top
- Nvidia Nemotron Super 49B: 12.0%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 45.0 tok/s
- Faster than 33% of 274 models
- Time to first token
- 0.9 s
- Quicker than 98% of 274 models
- Prompt cache hits
- 66.8%
- Request success (24h)
- 100.0%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "nousresearch/hermes-4-405b:thinking",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="nousresearch/hermes-4-405b:thinking",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)nousresearch
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