The Best Free Models & Providers for Hermes Agent in 2025

Why This Matters for Hermes Users

Ive been running Hermes Agent daily for months now -- its my primary interface for coding, research, and automation. One of the first questions everyone asks: What model should I use? The answer changes fast. Free tiers shift, rate limits tighten, new providers launch.

This post is my current answer as of July 2025, based on testing every major free option with Hermes Agent, OpenCode Go, and direct API calls.

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Quick Comparison Table

[TABLE]

Provider | Free Tier | Rate Limit | Best Model | Context | Privacy

--- | --- | --- | --- | --- | ---

OpenRouter | 26+ models | 5-30 RPM per model | Nemotron 3 Ultra / Gemma 3 31B | 1M / 262K | Logs queries

NVIDIA NIM | 115+ models | ~40 RPM | Nemotron 3 Ultra / Nemotron 3.5 | 1M / 128K | Build on your data

OpenCode Go | 3 top models | 200 req/5h | GLM-5 / Kimi K2.5 / MiniMax M2.5 | Varies | Local-first option

Google AI Studio | Gemini 2.5 Pro/Flash | 60 RPM | Gemini 2.5 Pro | 2M | Google data policy

Groq | Llama 3.1/3.3 | 30 RPM | Llama 3.3 70B | 128K | Retains 30 days

Ollama (local) | Unlimited | Hardware only | Any GGUF | Your VRAM | Complete privacy

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OpenRouter: The Swiss Army Knife

What You Get

OpenRouter aggregates 26+ free models behind one API key. No credit card. Sign up -> create key -> done.

Standout Free Models (July 2025)

[TABLE]

Model | Provider | Context | Rate Limit | Best For

--- | --- | --- | --- | ---

nvidia/nemotron-3-ultra-550b-a55b:free | NVIDIA | 1M | 20 RPM / 200 RPD | Reasoning, coding, orchestration

google/gemma-3-31b-it:free | Google | 262K | 30 RPM | Best overall quality free model

meta-llama/llama-3.3-70b-instruct:free | Meta | 128K | 10 RPM | General chat, coding

qwen/qwen-2.5-72b-instruct:free | Alibaba | 128K | 10 RPM | Coding, multilingual

deepseek/deepseek-r1-zero:free | DeepSeek | 64K | 5 RPM | Math, reasoning

nousresearch/hermes-3-llama-3.1-405b:free | Nous | 128K | 5 RPM | Roleplay, creative

The Catch

• Shared compute: Free tier shares capacity -- latency spikes at peak hours
• Per-model limits: 5-30 RPM means you cant hammer a single model
• No SLA: Models disappear or change without notice
• Data logging: OpenRouter logs prompts/responses for abuse detection

Hermes Config

providers:
openrouter:
api_key: ${OPENROUTER_API_KEY}
base_url: "https://openrouter.ai/api/v1"
models:
default: "nvidia/nemotron-3-ultra-550b-a55b:free"
fallback: "google/gemma-3-31b-it:free"


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NVIDIA NIM: Enterprise-Grade Free Tier

What You Get

NVIDIAs NIM (NVIDIA Inference Microservices) offers 115+ models via integrate.api.nvidia.com/v1. Free tier: ~40 RPM, no per-token cost. API key from build.nvidia.com.

Standout Models

[TABLE]

Model | Params | Context | Best For

--- | --- | --- | ---

Nemotron 3 Ultra | 550B MoE (55B active) | 1M | Flagship reasoning/orchestration

Nemotron 3.5 Super | 120B hybrid MoE | 128K | Efficient complex tasks

Nemotron 3.5 Content Safety | - | - | Moderation

Llama 3.1 8B/70B | 8B/70B | 128K | General purpose

Mistral 7B / Mixtral | 7B/8x7B | 32K/64K | Fast inference

DeepSeek R1 | 671B | 128K | Reasoning benchmarks

The Catch

• 40 RPM total (not per model) -- shared across all NIM calls
• Opaque token limits: Some models cut off silently at ~4K output tokens
• Credit system: Free credits deplete; unclear refresh cadence
• Enterprise focus: Free tier is a trial for AI Enterprise ($4,500/GPU/yr)

Privacy Note

NVIDIA states: "Your data is not used to train models." But prompts are logged for abuse monitoring. For sensitive code, use local Ollama instead.

Hermes Config

providers:
nvidia_nim:
api_key: ${NVIDIA_API_KEY}
base_url: "https://integrate.api.nvidia.com/v1"
models:
default: "nvidia/nemotron-3-ultra"
fallback: "nvidia/nemotron-3.5-super"


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OpenCode Go: The $10/Month Sweet Spot

What You Get

OpenCode Go is a paid subscription ($5 first month, then $10/mo) that unlocks three curated models via OpenCodes own infrastructure:

[TABLE]

Model | Provider | Strength

--- | --- | ---

GLM-5 | Z.ai | Chinese/English bilingual, strong reasoning

Kimi K2.5 | Moonshot | 128K+ context, great at long-context

MiniMax M2.5 | MiniMax | Multilingual, strong coding

Plus the free tier: 200 requests per 5 hours on "Big Pickle" and other community models.

The Catch

• Not actually free for the best models
• Rate limit errors reported even when dashboard shows quota remaining
• Zen models (free curated) work but have their own limits
• International focus: Hosted outside US/EU -- latency varies

Why It Matters for Hermes

OpenCode Go works as a provider inside OpenCode CLI, but Hermes can also call it via OpenAI-compatible endpoint. The value prop: reliable access to models that are otherwise geo-blocked or waitlisted.

Hermes Config

providers:
opencode_go:
api_key: ${OPENCODE_GO_KEY}
base_url: "https://api.opencode.ai/v1" # hypothetical
models:
default: "glm-5"
fallback: "kimi-k2.5"


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The Local-First Option: Ollama

If privacy is non-negotiable, run models locally:

# Install
curl -fsSL https://ollama.ai/install.sh | sh

# Pull models (fit to your VRAM)
ollama pull nemotron3:8b # ~5GB VRAM
ollama pull nemotron3:70b # ~40GB VRAM (quantized)
ollama pull llama3.1:70b # ~40GB VRAM
ollama pull qwen2.5:72b # ~40GB VRAM
ollama pull deepseek-r1:70b # ~40GB VRAM


Hermes Config

providers:
ollama:
base_url: "http://localhost:11434/v1"
api_key: "ollama" # dummy
models:
default: "nemotron3:70b"
fallback: "llama3.1:70b"


Pros: Zero rate limits, complete privacy, works offlineCons: Needs GPU RAM, slower than hosted, you manage updates

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My Daily Driver Setup (July 2025)

Primary: OpenRouter + Nemotron 3 Ultra

# Best balance of quality, context (1M), and availability
default: "nvidia/nemotron-3-ultra-550b-a55b:free"
fallback: "google/gemma-3-31b-it:free"


Coding Sessions: OpenCode Go (when I subscribe)

# GLM-5 / Kimi for big refactors with 100K+ context
default: "glm-5"


Sensitive Work: Ollama Local

# Client code, secrets, proprietary algorithms
default: "nemotron3:70b-q4_k_m"


Research/Analysis: NVIDIA NIM

# When I need 1M context and dont want OpenRouter shared capacity
default: "nvidia/nemotron-3-ultra"


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Decision Framework

[TABLE]

If you need... | Use this

--- | ---

Best free reasoning + 1M context | OpenRouter Nemotron 3 Ultra

Highest quality free chat | OpenRouter Gemma 3 31B

Reliable 40 RPM, no shared capacity | NVIDIA NIM Nemotron 3 Ultra

Long context (128K+) + coding | OpenCode Go (paid) or NIM

Complete privacy, no API keys | Ollama local (Nemotron 3 70B)

Fastest inference | Groq Llama 3.3 70B

Multimodal free | OpenRouter Llama 3.2 11B Vision

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Rate Limit Survival Tips

1. Rotate providers -- Dont hammer one endpoint. Hermes supports fallback chains.
2. Cache aggressively -- Same prompt? Cache the response. Hermes has built-in caching.
3. Use smaller models for simple tasks -- 8B models for classification, 70B+ for reasoning.
4. Monitor headers -- X-RateLimit-Remaining, Retry-After -- back off before 429.
5. Queue locally -- Batch requests, add jitter.

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The Privacy Reality Check

[TABLE]

Provider | Trains on your data? | Logs prompts? | Jurisdiction

--- | --- | --- | ---

OpenRouter | No (claims) | Yes (abuse) | US

NVIDIA NIM | No (claims) | Yes (abuse) | US

Google AI Studio | Yes (opt-out) | Yes | US

Groq | No (claims) | 30 days | US

OpenCode Go | No (claims) | Unknown | Singapore/China

Ollama (local) | No | No | Your machine

My rule: Client code, secrets, PII -> Ollama only. Everything else -> best available free tier.

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Whats Coming

• OpenRouter: Adding more :free models monthly; watch for Gemma 3 27B and Nemotron 4
• NVIDIA NIM: Nemotron 4 Ultra rumored H2 2025; free tier may tighten
• OpenCode Go: Expanding model roster; may add Nemotron
• Local: llama.cpp adding Nemotron 3 quantizations; Apple Metal acceleration improving

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TL;DR

Start with: OpenRouter -> nvidia/nemotron-3-ultra-550b-a55b:free
Upgrade to: NVIDIA NIM direct (40 RPM dedicated)
Pay for: OpenCode Go ($10/mo) if you need GLM-5/Kimi reliably
Go local: Ollama + nemotron3:70b for anything sensitive


The landscape shifts every month. Ill update this post when the free tier leaderboard changes -- star the repo or follow for updates.

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Running Hermes Agent? Share your model combo in the comments. Im always testing new setups.