Meta vs Novita AI: Token Pricing, Speed & Intelligence
Full comparison of Meta and Novita AI — 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.
Novita AI
Budget-friendly open-source inference with broad model selection
Novita AI offers some of the lowest per-token prices for open-weight model inference, making it attractive for high-volume or cost-sensitive workloads. They host Llama 3.3 and other popular models with a straightforward API compatible with the OpenAI SDK.
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Live token pricing
Strengths & weaknesses
Meta
Novita AI
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.
Consistently among the lowest per-token prices for open-weight model inference — the go-to choice for cost-sensitive, high-volume workloads.
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.
Novita AI FAQs
How cheap is Novita AI?
Novita AI is among the most affordable inference providers for open-weight models, often offering lower prices than Together AI or Fireworks AI. Exact pricing varies by model — check their pricing page for current rates.
What models does Novita AI support?
Novita AI hosts Llama 3.3 70B and a broad selection of other open-weight models. Their catalog focuses on popular, widely-used models.
Is Novita AI good for production use?
Novita AI is well-suited for cost-sensitive production workloads where price is the primary concern. For latency-critical or high-reliability production use, providers like Fireworks AI or Together AI may be more appropriate.
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.
Novita AI — Budget-friendly open-source inference with broad model selection
Novita AI offers some of the lowest per-token prices for open-weight model inference, making it attractive for high-volume or cost-sensitive workloads. They host Llama 3.3 and other popular models with a straightforward API compatible with the OpenAI SDK.
Consistently among the lowest per-token prices for open-weight model inference — the go-to choice for cost-sensitive, high-volume workloads.
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
Novita AI
- ▸Among the lowest per-token prices for open-weight models
- ▸Broad model selection including Llama 3.3 and others
- ▸OpenAI-compatible API
Provider category context
Meta is a open source host, founded in 2023. Novita AI 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 Novita AI if you need among the lowest per-token prices for open-weight models. 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.