Novita AI
200+ models — DeepSeek V4.1 Flash, Kimi K3, Kling v3.0 video, agent sandbox
Novita AI offers 200+ models across text, image, video, and audio. Text models include DeepSeek V4.1 Flash, DeepSeek V4 Pro, Kimi K3, Qwen3.8 Flash, MiniMax M3, and GLM 5.3. Video: Kling v3.0 Pro and Wan 2.7. Audio: Fish Audio TTS. Agent sandbox for multi-step agentic workflows. 50% batch discount on supported models. Check novita.ai/pricing for current rates.
The most complete budget multimodal platform — 200+ models spanning text, image, video (Kling v3.0, Wan 2.7), and audio, with an agent sandbox and 50% batch discounts.
- 200+ models: text, image, video (Kling v3.0, Wan 2.7), audio (Fish Audio TTS)
- DeepSeek V4.1 Flash — competitive pricing
- Kling v3.0 Pro video generation
- 50% batch discount on supported models
- Agent sandbox for multi-step agentic workflows
- AI Search via EXA and Tavily integrations
- Less established than larger inference providers
- Throughput and latency not optimised for real-time use
- No fine-tuning support
Novita AI Models
| Model | Modality | Tier | Price | Cached /1M | TTFT | Throughput | Context | Intel. | Caps | |
|---|---|---|---|---|---|---|---|---|---|---|
qwen3-235b-a22b Qwen3 | Chat | advanced | $0.20/ $0.60 in / out per 1M EST Jul 2026 | — | 1.0s | 70 t/s | 131K | 83 | ||
llama-3.3-70b-instruct Llama 3.3 | Chat | budget | $0.23/ $0.23 in / out per 1M EST Jul 2026 | — | 320ms | 210 t/s | 131K | 64 | ||
deepseek-r1 DeepSeek R1 | Chat | advanced | $0.55/ $2.19 in / out per 1M EST Jul 2026 | — | 950ms | 75 t/s | 164K | 85 |
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Full comparison tableNovita AI LLM pricing overview
Novita AI is an inference API provider that hosts open-weight and third-party large language models. Novita AI offers 200+ models across text, image, video, and audio. Text models include DeepSeek V4.1 Flash, DeepSeek V4 Pro, Kimi K3, Qwen3.8 Flash, MiniMax M3, and GLM 5.3. Video: Kling v3.0 Pro and Wan 2.7. Audio: Fish Audio TTS. Agent sandbox for multi-step agentic workflows. 50% batch discount on supported models. Check novita.ai/pricing for current rates. Common use cases include Cost-efficiency, Multimodal generation, Video generation, Agentic workflows. Headquartered in San Francisco, CA, founded 2023. All models are accessible via a REST API compatible with standard OpenAI-style request formats, enabling drop-in integration with most LLM frameworks and orchestration tools.
Novita AI vs other LLM providers
Novita AI competes with OpenAI, Anthropic, Google, Groq, Together AI, Mistral, Cohere, and other inference API providers across dimensions of price, throughput, latency, context window, and model intelligence. The most complete budget multimodal platform — 200+ models spanning text, image, video (Kling v3.0, Wan 2.7), and audio, with an agent sandbox and 50% batch discounts. Use the LLM provider comparison tool to see Novita AI token pricing, latency, and throughput side-by-side with any other provider. The full LLM pricing table shows all providers ranked by input token cost, output token cost, and throughput in a single sortable view.
Why choose Novita AI?
Novita AI stands out because: The most complete budget multimodal platform — 200+ models spanning text, image, video (Kling v3.0, Wan 2.7), and audio, with an agent sandbox and 50% batch discounts.. The API currently offers 3 models, spanning 2 advanced, 1 budget tiers. For teams running high-volume inference workloads, prompt caching and batch API endpoints can reduce effective input token costs by 50–90% — check the context window cost guide for a full breakdown of caching economics.
Understanding Novita AI token pricing
Novita AI charges separately for input (prompt) and output (completion) tokens, priced per 1M tokens in USD. Output tokens are typically 3–5× more expensive than input tokens due to the compute cost of autoregressive generation. The cheapest {meta.name} input rate is currently $0.20/1M tokens. Prices shown are sourced from Novita AI's public pricing page and updated every 15 minutes. Need help estimating your spend? Read the LLM API cost calculator guide — it covers tokens, context windows, prompt caching, and batch discounts with worked examples for RAG, chat history, and document processing workloads.
Novita AI context window and model capabilities
Context window size directly affects both capability and cost — every token in the context window is charged as an input token. Novita AI's largest context window is 164K tokens. For RAG and document processing workloads, longer context windows enable richer retrieval but increase per-call costs proportionally. Prompt caching — where supported — stores the KV state of repeated prefixes and charges 75–90% less for cache hits, making it the most impactful cost optimization for applications with consistent system prompts or retrieved documents. See the LLM context window cost guide for a full analysis of how context length affects your API bill.
Self-hosted vs managed inference: when Novita AI makes sense
Managed inference APIs like Novita AI eliminate infrastructure overhead — no GPU provisioning, driver management, or model serving stack to maintain. The trade-off is cost at scale: a single H100 at ~$2.50/hr can serve ~500K tokens/min of Llama 3.3 70B, which at Novita AI API rates would cost significantly more per token. The break-even point depends on your request volume, latency requirements, and engineering capacity. For teams processing fewer than ~10M tokens/day, managed APIs are almost always cheaper when total cost of ownership is considered. Above that threshold, self-hosted inference on rented GPU compute typically wins on unit economics. Read the cheapest GPU cloud guide for a full break-even analysis. Historical Novita AI token price data is available in the LLM price history charts.
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