# Most Used Models by Hermes Agent on OpenRouter Ranked by token usage: Owl Alpha leads at 6.53T tokens, followed by DeepSeek V4 Flash and MiniMax M3. Full breakdown of the top 20 models used with Hermes Agent. ## The Most Popular Models Powering AI Agents When it comes to running AI agents at scale, token usage tells the real story. While benchmarks measure peak performance, actual usage data reveals which models developers and agent frameworks trust in production. Based on Hermes Agent's usage data via OpenRouter, we can see a clear hierarchy of model adoption. Here are the top 20 most-used models, ranked by total token volume processed through Hermes Agent. ## The Top 20 — Ranked by Token Usage | **Rank** | **Model** | **Provider** | **Total Tokens** | **Category**| --- | --- | --- | --- | --- | 1 | **Owl Alpha** | openrouter | 6.53T | Reasoning| | 2 | **DeepSeek V4 Flash** | deepseek | 4.69T | General Purpose| | 3 | **MiniMax M3** | minimax | 2.15T | Multimodal| | 4 | **Step 3.7 Flash** | stepfun | 1.54T | Reasoning| | 5 | **DeepSeek V4 Pro** | deepseek | 1.44T | General Purpose| | 6 | **Nemotron 3 Super** | nvidia | 770B | Reasoning| | 7 | **Claude Sonnet 4.6** | anthropic | 535B | Reasoning| | 8 | **Claude Opus 4.8** | anthropic | 522B | Maximum Reasoning| | 9 | **MiMo-V2.5** | xiaomi | 463B | Multilingual| | 10 | **MiMo-V2.5-Pro** | xiaomi | 379B | Multilingual| | 11 | **GLM 5.2** | z-ai | 281B | Open Source| | 12 | **GPT-5.5** | openai | 269B | Multimodal| | 13 | **Gemini 3.5 Flash** | google | 261B | Fast Inference| | 14 | **Kimi K2.6** | moonshotai | 227B | Long Context| | 15 | **Laguna M.1** | poolside | 226B | Code| | 16 | **Nemotron 3 Ultra** | nvidia | 213B | Reasoning| | 17 | **MiniMax M2.7** | minimax | 208B | Multimodal| | 18 | **Nex-N2-Pro** | nex-agi | 201B | Reasoning| | 19 | **Qwen3.7 Max** | qwen | 175B | Multilingual| | 20 | **gpt-oss-120b** | openai | 165B | Open Weights| ## Deep Dive: The Top Tier ### 1. Owl Alpha — 6.53T Tokens (The Clear Leader) By a significant margin, Owl Alpha is the most-used model on OpenRouter for Hermes Agent, processing 6.53 trillion tokens — more than the next two models combined. Owl Alpha is OpenRouter's own model, specifically optimized for reasoning and agent workflows. Its dominance reflects a simple truth: agents that think more effectively complete tasks in fewer turns, and fewer turns means more tokens processed per successful completion. Owl Alpha's deep reasoning capabilities make it the ideal workhorse for agentic workflows where multi-step problem solving is the norm. ### 2. DeepSeek V4 Flash — 4.69T Tokens (Speed Champion) DeepSeek's V4 Flash ranks second with 4.69T tokens processed. As a fast, cost-effective model from Chinese AI pioneer DeepSeek, V4 Flash strikes the perfect balance for agents that need rapid inference across thousands of API calls. Its speed makes it ideal for high-volume, lower-complexity tasks like content generation, classification, and data extraction — the bread and butter of many agent workflows. ### 3. MiniMax M3 — 2.15T Tokens (Multimodal Powerhouse) MiniMax's M3 model ranks third with 2.15T tokens. As a multimodal model capable of handling text, images, and structured data, M3 serves Hermes Agent's needs when tasks span multiple modalities. Its ability to process and generate across formats makes it invaluable for tasks like document analysis, visual Q&A, and data processing pipelines. ## Model Family Analysis ### DeepSeek Dominance (2 Models in Top 5) DeepSeek holds two spots in the top 5 — V4 Flash (#2) and V4 Pro (#5) combined for 6.13T tokens. This dual presence reflects the family's strategy of offering both fast/cheap (Flash) and powerful/professional (Pro) tiers. Together, they serve as the backbone of many Hermes Agent deployments that need flexibility in cost-to-performance ratio. ### Anthropic's Claude Lineup (#7 and #8) Claude Sonnet 4.6 and Claude Opus 4.8 occupy consecutive spots, reflecting how agents use Anthropic's models for high-stakes reasoning tasks. While their total token counts are lower than the Chinese models, Claude's reputation for safety, helpfulness, and complex reasoning keeps it a staple for agent workflows that can't afford wrong answers. ### Chinese Model Ecosystem (6 in Top 20) Chinese AI companies collectively dominate this list with 6 models in the top 20: DeepSeek (2), MiniMax (2), Xiaomi/MiMo (2), plus Z-ai's GLM. This isn't surprising given the aggressive pricing, rapid iteration cycles, and massive investment in Chinese AI infrastructure. For Hermes Agent users, Chinese models offer compelling cost advantages — often at 10-20% of Western model pricing. ## Why These Models Matter for Hermes Agent Hermes Agent's architecture is designed to be model-agnostic, and this data confirms why that matters. Different models excel at different tasks: - - **Reasoning tasks** — Owl Alpha, Claude Sonnet, Step Flash - - **Fast inference** — DeepSeek V4 Flash, Gemini 3.5 Flash - - **Multimodal work** — MiniMax M3, GPT-5.5 - - **Code generation** — Laguna M.1, DeepSeek models - - **Long context** — Kimi K2.6, Gemini 3.5 Flash - - **Multilingual** — MiMo-V2.5, Qwen3.7 Max This diversity means Hermes Agent users can route different task types to the optimal model, rather than using one model for everything. OpenRouter makes this routing seamless — you can switch models mid-session without changing your code. ## Key Takeaways - **Owl Alpha dominates** with 6.53T tokens — OpenRouter's own model optimized for agent reasoning - - **Chinese models lead in volume** — 6 of the top 20 are from Chinese companies, reflecting aggressive pricing and performance - - **DeepSeek has the broadest reach** — 2 models in top 5, 6.13T total tokens - - **Claude remains the premium choice** — despite lower usage volume, Claude Sonnet and Opus are the go-to for high-stakes reasoning - - **Speed models rank high** — Flash variants from DeepSeek and Gemini show demand for fast inference - - **Diversity of providers** — 12 different providers in the top 20, confirming the value of model-agnostic agents ## Conclusion The token usage data paints a clear picture: agent workloads are shifting toward models optimized for reasoning, speed, and cost-efficiency. Owl Alpha's commanding lead shows that better reasoning leads to better task completion — and more tokens processed. Meanwhile, the strong showing of Chinese models highlights the global nature of the AI model landscape and the practical advantage of having access to diverse, affordable options through platforms like OpenRouter. For Hermes Agent users, this data supports a simple strategy: use Owl Alpha or Claude Sonnet for complex reasoning tasks, DeepSeek V4 Flash for high-volume fast inference, and reserve the premium models for tasks that genuinely need their capability. ## Related Articles [**Top AI Models for Hermes Agent**](/top-ai-models-for-hermes-agent-local-and-cloud.html) — Local and cloud comparison guide [**Top 10 Intelligence AI Models**](/top-10-intelligence-ai-models-of-june-2026.html) — Best reasoning models of June 2026