Meta vs OpenRouter: Token Pricing, Speed & Intelligence
Full comparison of Meta and OpenRouter — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.
Meta
Llama 4 & Muse Spark — the world's most widely deployed open-weight models
Meta AI is the creator of the Llama model family, the most widely used open-weight LLMs in the world. Llama models are available via Meta's own API and through dozens of third-party inference providers. The Llama 4 series includes Behemoth (2T params), Scout, and Maverick, with 1M-token context windows. Meta also offers Muse Spark, a proprietary multimodal model. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.
OpenRouter
One API for every major LLM — route to the cheapest or fastest provider automatically
OpenRouter is a unified LLM API that routes requests to the cheapest or fastest available provider for any given model. With a single API key you can access GPT-4o, Claude, Llama, Gemini, and hundreds of other models, with automatic fallback and cost optimisation.
Key metrics
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Live token pricing
Strengths & weaknesses
Meta
OpenRouter
Key differentiators
The only frontier-class model family available as open weights — enabling self-hosted inference on GPU cloud at a fraction of API pricing for high-volume workloads.
The only API that lets you access every major LLM with a single key and automatically routes to the cheapest or fastest available provider.
Frequently asked questions
Meta FAQs
What is the Llama 4 context window?
Llama 4 Scout and Maverick support 1,000,000-token (1M) context windows. Llama 4 Behemoth also targets 1M context. This makes Llama 4 competitive with Gemini 1.5 Pro for long-document and multi-document tasks.
How much does the Meta Llama API cost?
Llama 3.2 1B is $0.02/1M tokens in/out. Llama 3.2 3B is $0.03/$0.05. Llama 3.1 8B is $0.02/$0.05. Llama 3.2 90B Vision is $1.20/$1.20. Muse Spark 1.1 is $1.25/$4.25. Llama 4 Behemoth pricing is not yet publicly listed.
Can I self-host Llama models?
Yes — all Llama 3.x and Llama 4 Scout/Maverick weights are publicly available under the Llama Community License. You can run them on any GPU cloud provider. A single H100 at ~$2.50/hr can serve Llama 3.1 8B at very high throughput, making self-hosting cost-effective above ~10M tokens/day.
OpenRouter FAQs
How does OpenRouter pricing work?
OpenRouter charges the underlying provider rate plus a small routing fee (typically a few percent). For many models, the effective price is very close to or equal to the direct provider rate. Some models are available for free with rate limits.
What models are available on OpenRouter?
OpenRouter provides access to 200+ models including GPT-4o, Claude 3.5 Sonnet, Llama 3.3 70B, Gemini 1.5 Pro, DeepSeek R1, Mistral, and many others. The catalog is updated as new models are released.
Can I use OpenRouter with the OpenAI SDK?
Yes. OpenRouter is fully OpenAI-compatible. Point the OpenAI SDK at the OpenRouter endpoint and use your OpenRouter API key — no other code changes needed.
Provider resources
Meta — Llama 4 & Muse Spark — the world's most widely deployed open-weight models
Meta AI is the creator of the Llama model family, the most widely used open-weight LLMs in the world. Llama models are available via Meta's own API and through dozens of third-party inference providers. The Llama 4 series includes Behemoth (2T params), Scout, and Maverick, with 1M-token context windows. Meta also offers Muse Spark, a proprietary multimodal model. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.
The only frontier-class model family available as open weights — enabling self-hosted inference on GPU cloud at a fraction of API pricing for high-volume workloads.
OpenRouter — One API for every major LLM — route to the cheapest or fastest provider automatically
OpenRouter is a unified LLM API that routes requests to the cheapest or fastest available provider for any given model. With a single API key you can access GPT-4o, Claude, Llama, Gemini, and hundreds of other models, with automatic fallback and cost optimisation.
The only API that lets you access every major LLM with a single key and automatically routes to the cheapest or fastest available provider.
Key strengths compared
Meta
- ▸Open-weight models — self-host on any GPU cloud for lowest per-token cost at scale
- ▸Llama 4 Behemoth: 2T parameter frontier model with 1M context window
- ▸Widest third-party hosting ecosystem — available on AWS, Azure, GCP, Together AI, Groq, and 20+ others
OpenRouter
- ▸Single API for 200+ models across all major providers
- ▸Automatic routing to cheapest or fastest provider
- ▸Fallback and load balancing built in
Provider category context
Meta is a open source host, founded in 2023. OpenRouter is a inference api, founded in 2023. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.
How to choose between them
Choose Meta if you need open-weight models — self-host on any gpu cloud for lowest per-token cost at scale. Choose OpenRouter if you need single api for 200+ models across all major providers. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.