349 models · Updated every hour

How many messages
for $1?

AI pricing, simplified. The higher the number, the cheaper. Based on ~7,000 tokens per message.

Best AI Models for OpenClaw: LLM Pricing Comparison in Messages Per Dollar

349 results
Bar = value for money (more filled = more messages per dollar)
ByteDance Seed: Seed 1.6bytedance-seed
Context 262k
~63.5msgs / $1
OpenAI: GPT-5.1-Codex-Miniopenai
Context 400k
~63.5msgs / $1
OpenAI: GPT-5 Miniopenai
Context 400k
~63.5msgs / $1
Qwen: Qwen3.6 PlusqwenPopular for OpenClaw
Context 1.0M
~62.8msgs / $1
Qwen: Qwen3 235B A22Bqwen
Context 131k
~62.8msgs / $1
Z.ai: GLM 4.6z-ai
Context 205k
~62.4msgs / $1
Qwen: Qwen3.5-122B-A10Bqwen
Context 262k
~61.1msgs / $1
Xiaomi: MiMo-V2-OmnixiaomiPopular for OpenClaw
Context 262k
~59.5msgs / $1
AionLabs: Aion-2.0aion-labs
Context 131k
~59.5msgs / $1
Mistral: Devstral 2 2512mistralai
Context 262k
~59.5msgs / $1
MoonshotAI: Kimi K2 0905moonshotai
Context 262k
~59.5msgs / $1
Mistral: Mistral Medium 3.1mistralai
Context 131k
~59.5msgs / $1
Z.ai: GLM 4.5Vz-ai
Context 66k
~59.5msgs / $1
Mistral: Devstral Mediummistralai
Context 131k
~59.5msgs / $1
Mistral: Mistral Medium 3mistralai
Context 131k
~59.5msgs / $1
NVIDIA: Llama 3.1 Nemotron Ultra 253B v1nvidia
Context 131k
~59.5msgs / $1
AionLabs: Aion-RP 1.0 (8B)aion-labs
Context 33k
~59.5msgs / $1
NVIDIA: Llama 3.1 Nemotron 70B Instructnvidia
Context 131k
~59.5msgs / $1
Deep Cogito: Cogito v2.1 671Bdeepcogito
Context 128k
~57.1msgs / $1
MiniMax: MiniMax M1minimax
Context 1.0M
~54.9msgs / $1
DeepSeek: R1 0528deepseek
Context 164k
~54.9msgs / $1
Qwen: Qwen VL Maxqwen
Context 131k
~54.9msgs / $1
Qwen: Qwen3.5 397B A17Bqwen
Context 262k
~52.3msgs / $1
Morph: Morph V3 Largemorph
Context 262k
~51.0msgs / $1
Google: Gemini 2.5 FlashgooglePopular for OpenClaw
Context 1.0M
~51.0msgs / $1
Amazon: Nova 2 Liteamazon
Context 1.0M
~51.0msgs / $1
Google: Nano Banana (Gemini 2.5 Flash Image)google
Context 33k
~51.0msgs / $1
Z.ai: GLM 4.5z-ai
Context 131k
~51.0msgs / $1
Qwen: Qwen3 VL 235B A22B Thinkingqwen
Context 131k
~50.0msgs / $1
MoonshotAI: Kimi K2 0711moonshotai
Context 131k
~49.8msgs / $1

Best Model for OpenClaw: How to Choose by Price

Choosing the best model for OpenClaw depends on your budget and use case. Our comparison table ranks every OpenRouter model by messages per dollar, so you can instantly see which LLM gives you the most value. Whether you need the cheapest model for OpenClaw automation, the best local model for OpenClaw coding tasks, or a premium option like Claude Opus 4.6 for complex reasoning, we break down the real cost per message to help you decide. Models tagged "Popular for OpenClaw" are the most used by the OpenClaw community on OpenRouter.

Why Compare LLM Prices in Messages Per Dollar?

Traditional LLM pricing is shown in dollars per million tokens ($/MTok), a metric that means nothing to most people. How many tokens is a conversation? What does $3/MTok actually cost you? LLM Bench converts every model's pricing into a simple number: how many messages you can send for one dollar. We start from a base of ~7,000 tokens per message (7,000 input + 7,000 output), which represents a realistic average across diverse use cases. This makes it easy to compare ChatGPT API pricing, Claude API costs, Gemini pricing, and hundreds of other models at a glance.

ChatGPT vs Claude vs Gemini for OpenClaw: Which Is Cheapest?

The cost of AI models varies dramatically. Budget models like GPT-4.1 Nano and Gemini 2.0 Flash offer hundreds of messages per dollar, making them ideal for high-volume OpenClaw tasks. Premium models like Claude Opus 4.6 and GPT-4.1 deliver fewer messages per dollar but offer superior reasoning and coding capabilities, perfect for complex OpenClaw workflows. Mid-range options like Claude Sonnet 4 and GPT-4.1 Mini strike a balance between cost and quality. Use the "Popular for OpenClaw" filter to see which models the community actually uses.

How We Calculate LLM Cost Per Message

Our formula is built on a realistic baseline, not guesswork. We use 7,000 input tokens and 7,000 output tokens as the average message exchange. Of course, usage varies: a quick question might only use 2,000 tokens, while a complex coding session can exceed 15,000. But 7,000 is the sweet spot that reflects how people actually use AI in production. The cost per message equals 7,000 multiplied by the sum of the input and output price per token. Messages per dollar is simply 1 divided by this cost. Using the same formula for every model ensures a fair, apples-to-apples comparison. All pricing data is fetched directly from the OpenRouter API and refreshed every hour.

Free and Cheap Models for OpenClaw on OpenRouter

Several AI models are available completely free through OpenRouter, including variants of Llama, Mistral, and other open-source models. These free models are a great way to get started with OpenClaw without spending anything. For users who need more power, budget models like GPT-4.1 Nano and DeepSeek Chat offer hundreds of messages per dollar. Our comparison table clearly marks free models and lets you sort by price, so finding the cheapest model for OpenClaw takes seconds.

FAQ

What is the best model for OpenClaw?
The best model for OpenClaw depends on your needs. For coding tasks, Claude Sonnet 4 and GPT-4.1 are top choices among the OpenClaw community. For budget-friendly automation, GPT-4.1 Nano and Gemini 2.0 Flash offer hundreds of messages per dollar. Use our "Popular for OpenClaw" filter to see which models are most used by OpenClaw users on OpenRouter.
What is the cheapest model for OpenClaw?
The cheapest paid models for OpenClaw include GPT-4.1 Nano, Gemini 2.0 Flash, and DeepSeek Chat, all offering hundreds of messages per dollar. Several open-source models are also available for free through OpenRouter with some rate limits. Sort our table by "msgs/$" to find the best deal.
How much does ChatGPT API cost per message?
The cost depends on which model you use. GPT-4.1 Nano costs roughly $0.003 per message (about 286 messages per dollar), while GPT-4.1 costs about $0.056 per message (about 18 messages per dollar). We calculate this based on 7,000 input tokens and 7,000 output tokens per message.
How do you calculate messages per dollar?
We start from a base of ~7,000 tokens per message (7,000 input + 7,000 output), which represents a realistic average across diverse use cases. The formula: cost per message = 7,000 × (input price per token + output price per token). Messages per dollar = 1 / cost per message. The same formula is applied to every model for a fair comparison.
Is Claude cheaper than ChatGPT?
It depends on the tier. Claude Sonnet 4 and GPT-4.1 Mini are in a similar price range. For premium models, Claude Opus 4.6 and GPT-4.1 have different pricing that varies. Check our real-time comparison table for the latest prices, updated every hour.
Can I use free models with OpenClaw?
Yes. OpenRouter offers several free models including variants of Llama and Mistral. They work with OpenClaw and are great for experimentation or low-volume use. Free models may have rate limits, so for production workflows, budget paid models like GPT-4.1 Nano (hundreds of messages per dollar) are a reliable alternative.
What are the most popular OpenClaw models on OpenRouter?
The most popular models for OpenClaw on OpenRouter are automatically tracked and updated every 3 days. Use the "Popular for OpenClaw" filter on our comparison table to see the current community favorites, ranked by messages per dollar.
How many tokens is a typical message?
A typical message exchange includes your prompt, conversation history, and the AI's response. The average is 7,000 input tokens and 7,000 output tokens per message. Simple questions use fewer tokens (around 2,000), while coding or long form tasks can exceed 15,000. The 7,000 figure represents a realistic median across diverse use cases.