Qwen3.5 9B vs Hermes 4 - Llama-3.1 405B: Release Comparison
Comparison of the Qwen3.5 9B and Hermes 4 - Llama-3.1 405B releases: 2 and 2 models respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 4 models.
- For intelligence, Qwen3.5 9B scores highest: Qwen3.5 9B (Reasoning) at 14, against Hermes 4 - Llama-3.1 405B (Reasoning) at 7 for Hermes 4 - Llama-3.1 405B.
- For output speed, Qwen3.5 9B is fastest: Qwen3.5 9B (Non-reasoning) at 92 t/s, against Hermes 4 - Llama-3.1 405B (Non-reasoning) at 41 t/s for Hermes 4 - Llama-3.1 405B.
Releases compared
Intelligence
Artificial Analysis Intelligence Index
Intelligence Index vs. Cost per Intelligence Index Task
Cost per Task (USD, Log Scale)
Cost
Cost per Intelligence Index Task
Speed & Latency
Output Speed
Capability Scores
Capability Indexes
Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better
Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better
Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AA-LCR v1.1, GDP.pdf, AutomationBench-AA · Higher is better
Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, MLCR-AA, Humanity's Last Exam, AutomationBench-AA · Higher is better
Incorporates 6 evaluations: AA-Omniscience, Humanity's Last Exam, CritPt, GDPval-AA v2.1, AA-Briefcase v1.1, Terminal-Bench 4.0 · Higher is better
Incorporates 5 evaluations: AA-Omniscience, Humanity's Last Exam, GDPval-AA v2.1, AA-Briefcase v1.1, AA-LCR v1.1 · Higher is better
Further details
Input modality | Output modality | Weights | Provider Benchmarks | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5 9B (Reasoning) |  Alibaba | 14 | - | - | - | - | - | - | - | $0.1 | $0.135 | $0.20 | - | - | - | - | - | 57 | 1.91s | 36.76s | 45.48s | - | 9.7B | 262k | Mar 2026 | - | Yes | Supports: text, image, and video | Supports: text |   | |||
| Qwen3.5 9B (Non-reasoning) | Alibaba | 13 | - | - | - | - | - | - | - | $0.2 | $0.17 | $0.25 | - | - | - | - | - | 92 | 0.75s | 0.75s | 6.20s | - | 9.7B | 262k | Mar 2026 | - | No | Supports: text, image, and video | Supports: text | | |||
| Hermes 4 - Llama-3.1 405B (Reasoning) |  Nous Research | 7 | - | - | - | - | - | - | - | $1.2 | $1.00 | $3.00 | - | - | - | - | - | 40 | 2.40s | 52.08s | 64.51s | - | 406B | 128k | Aug 2025 | - | Yes | Supports: text | Supports: text |  | |||
| Hermes 4 - Llama-3.1 405B (Non-reasoning) | Nous Research | 7 | - | - | - | - | - | - | - | $1.2 | $1.00 | $3.00 | - | - | - | - | - | 41 | 2.36s | 2.36s | 14.47s | - | 406B | 128k | Aug 2025 | - | No | Supports: text | Supports: text | | |||