Hermes 4 70B
Hermes 4 70B is an open instruct and reasoning model by Nous Research from the Hermes 4 family with 70 billion parameters. The model combines optional thinking with advanced tool use and structured outputs, trained for high steerability and reduced Refusal rates. Available as an Open Weights model under a Modified MIT license for local or server-side deployment.
- Open Weights
- Server
- OpenRouter
- Text
- Instruction-Tuned
- Real-Time
Sovereign Risk: MEDIUM Nous Research is a US-based company, which makes US jurisdiction and the CLOUD Act relevant. Since the models are Open Weights, they can be run locally, which minimizes the risk of uncontrolled data leakage via an API.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 68.99
- Routine
- 41.2
- Reasoning
- 27.79
- LLM Judge Avg
- 3.47 / 5
- 100 Coverage
- Avg Task Duration
- 10.05s
- Real-Time
- Token Rate
- 76.83tok/s
- Output Rate
- P95 Latency
- 20.54s
- Top 5 %
- Total Tokens
- 64099.99999999999
- Output Volume
- Cost per 1K
- $0.0004
- USD / 1K Requests
- Benchmark Cost
- $0.03
- Total · 64099.99999999999 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Hermes 4 70B
Best model
Ø All models
Code Quality
65.24
CLI Benchmark
78
Logical Reasoning
73
UX Writing
62.08
Documentation
65.14
Content Transform.
63.06
Cultural Intelligence
74.4
Synthesis Quality
41.67
Tool Execution
88.33
ToolUse Score
75.5
Benchmark Cost
$0.03
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze / Standard).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.