Novita AI vs Together AI: Token Pricing, Speed & Intelligence

Full comparison of Novita AI and Together AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

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.

Cost-efficiencyBatch processingOpen-sourceHigh-volumeBudget workloads

Open-weight hostHosts open weights

Together AI

Open-source model hosting with competitive inference pricing

Together AI specialises in hosting open-weight models including the full Llama family, Mixtral, and DeepSeek variants. They offer live pricing via their public API and support fine-tuning workflows. A popular choice for teams that want open-source flexibility without managing their own GPU infrastructure.

Open-sourceFine-tuningCodingChatCost-efficiency

Open-weight hostHosts open weights

Key metrics

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths & weaknesses

Novita AI

Among the lowest per-token prices for open-weight models

Broad model selection including Llama 3.3 and others

OpenAI-compatible API

Good for high-volume batch workloads

Simple pricing structure

Less established than larger inference providers

Throughput and latency not optimised for real-time use

No fine-tuning support

Together AI

Largest selection of open-weight models

Fine-tuning support for custom model training

OpenAI-compatible API — easy migration

Competitive pricing on Llama 3.x models

Supports 405B parameter models

No proprietary frontier models

Throughput lower than Groq/Cerebras for speed-critical apps

Fine-tuning adds complexity vs. pure inference providers

Key differentiators

Novita AI

Consistently among the lowest per-token prices for open-weight model inference — the go-to choice for cost-sensitive, high-volume workloads.

Together AI

The broadest open-weight model catalog with fine-tuning support — ideal for teams that need model customisation without self-hosting.

Frequently asked questions

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.

Together AI FAQs

What models does Together AI support?

Together AI hosts 100+ open-weight models including the full Llama 3.x family (8B, 70B, 405B), Mixtral, DeepSeek R1, Qwen, and many others. They also support custom fine-tuned model deployment.

How much does Together AI cost?

Llama 3.3 70B costs $0.88/1M tokens (input and output). Llama 3.1 405B is $3.50/1M tokens. Smaller models like Llama 3.2 11B Vision start at $0.18/1M tokens.

Does Together AI support fine-tuning?

Yes. Together AI offers supervised fine-tuning for Llama and other open-weight models. You can upload training data, run fine-tuning jobs, and deploy the resulting model via their inference API.

Provider resources

Novita AI

Provider page Website Pricing Docs

Together AI

Provider page Website Pricing Docs

Novita AI — Budget-friendly open-source inference with broad model selection

Consistently among the lowest per-token prices for open-weight model inference — the go-to choice for cost-sensitive, high-volume workloads.

Together AI — Open-source model hosting with competitive inference pricing

The broadest open-weight model catalog with fine-tuning support — ideal for teams that need model customisation without self-hosting.

Key strengths compared

Novita AI

▸Among the lowest per-token prices for open-weight models
▸Broad model selection including Llama 3.3 and others
▸OpenAI-compatible API

Together AI

▸Largest selection of open-weight models
▸Fine-tuning support for custom model training
▸OpenAI-compatible API — easy migration

Provider category context

Novita AI is a inference api, founded in 2023. Together AI is a inference api, founded in 2022. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both Novita AI and Together AI host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.