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Modal vs Novita AI: Token Pricing, Speed & Intelligence

Full comparison of Modal and Novita AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

Modal

Managed inference API — 10 shared-endpoint models with per-token pricing

Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.

InferenceCost-efficiencyOpen-sourceChat
Open-weight hostHosts open weights

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.

Cost-efficiencyMultimodal generationVideo generationAgentic workflowsBatch processingHigh-volume
Open-weight hostHosts open weights

Key metric comparison

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 and weaknesses

Modal

Managed hardware and autoscaling — no infrastructure to operate
Published per-token rates including cached-input pricing
OpenAI-style per-token billing across all 10 models
Cached-input pricing available on every model in the catalog
Small fixed catalog of 10 models
Model-specific concurrency limits on shared pools
Prices are published rates re-read 2026-10-31, not continuously collected

Novita AI

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

Key differentiators

Modal

Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.

Novita AI

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.

Frequently asked questions

Modal FAQs

What models does Modal offer on Shared Endpoints?

Modal Shared Endpoints currently serve 10 models: GLM 5.3 Flash NVFP4, DeepSeek V4.1 Flash 1017, DeepSeek V4.1 Flash, GLM 5.3 Flash, Muse Spark Open, GLM 5.3, Inkling NVFP4, Qwen3.8-Max, Qwen3.8-Max VL, and Kimi K3. Use the model table above for per-model pricing and capability details. Source: Modal's published Shared Endpoints catalog, re-read 2026-10-31.

How much does Modal charge per 1M tokens?

Modal Shared Endpoints input prices range from $0.15/1M (GLM 5.3 Flash NVFP4) to $3.00/1M (Kimi K3). All models include cached-input pricing. See the model table for full per-model rates.

Does Modal offer prompt caching?

Yes. All 10 models in the Modal Shared Endpoints catalog have published cached-input pricing, ranging from $0.005/1M (DeepSeek V4.1 Flash 1017) to $0.30/1M (Kimi K3). Depending on the model, the cached-input rate is 77.5% to 98% below the standard input rate. Source: Modal's published Shared Endpoints rates, re-read 2026-10-31.

Novita AI FAQs

What models does Novita AI support in 2026?

Novita AI hosts 200+ models including DeepSeek V4.1 Flash, DeepSeek V4 Pro, Kimi K3, Qwen3.8 Flash, GLM 5.3, MiniMax M3, and many others across text, image, video, and audio. Check novita.ai/pricing for current rates.

What video generation models does Novita AI offer?

Novita AI offers Kling v3.0 Pro, Kling v3.0 Standard, Wan 2.7, Minimax Hailuo 2.3, and more. Check novita.ai/pricing for current rates.

Does Novita AI offer batch inference discounts?

Yes. Novita AI offers a 50% introductory discount on input and output tokens for batch inference on supported models.

Provider resources

Modal — Managed inference API — 10 shared-endpoint models with per-token pricing

Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.

Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.

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.

Key strengths compared

Modal

  • Managed hardware and autoscaling — no infrastructure to operate
  • Published per-token rates including cached-input pricing
  • OpenAI-style per-token billing across all 10 models
  • Small fixed catalog of 10 models
  • Model-specific concurrency limits on shared pools

Novita AI

  • 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
  • Less established than larger inference providers
  • Throughput and latency not optimised for real-time use

Key weaknesses compared

Modal

  • Small fixed catalog of 10 models
  • Model-specific concurrency limits on shared pools
  • Prices are published rates re-read 2026-10-31, not continuously collected

Novita AI

  • Less established than larger inference providers
  • Throughput and latency not optimised for real-time use
  • No fine-tuning support

Provider category context

Modal is a inference api. Novita AI is a inference api, founded in 2023. 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 Modal and Novita 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.