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

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

Moonshot AI

Kimi — long-context frontier models from China's leading AI lab

Moonshot AI is a Chinese AI startup behind the Kimi model family. Kimi K2 is a 1-trillion-parameter MoE model released as open-weight, competitive with frontier models on coding and agentic tasks. The Kimi API offers long-context processing up to 128K tokens with competitive pricing.

CodingAgentsLong-contextReasoningMultilingual

Proprietary modelsHosts open weights

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

Key metrics

Cheapest input ($/1M)

—

Cheapest output ($/1M)

—

Peak throughput

—

Best latency (TTFT)

—

Intelligence score

—

Context window

—

Live token pricing

Strengths & weaknesses

Moonshot AI

Kimi K2 is a 1T MoE open-weight model with strong coding scores

Competitive on agentic and tool-use benchmarks

Long-context support up to 128K tokens

Open-weight release enables self-hosting

Strong performance on Chinese-language tasks

API primarily targets Chinese market — international latency may vary

Smaller ecosystem than OpenAI or Anthropic

Fewer third-party integrations available

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

Key differentiators

Moonshot AI

Kimi K2 is a 1-trillion-parameter open-weight MoE model that scores competitively with Claude Sonnet on coding and agentic benchmarks.

Novita AI

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

Moonshot AI FAQs

What is Kimi K2?

Kimi K2 is a 1-trillion-parameter mixture-of-experts model from Moonshot AI, released as open-weight. It activates approximately 32B parameters per token and is designed for coding, agentic tasks, and long-context reasoning.

Is Kimi K2 open-weight?

Yes. Kimi K2 weights are publicly available on Hugging Face, making it one of the largest open-weight models available. Teams can self-host it on multi-GPU clusters or access it via the Moonshot API.

How does Kimi K2 compare to Claude Sonnet?

Kimi K2 scores competitively with Claude Sonnet 4 on coding benchmarks including SWE-bench. It is particularly strong on agentic tasks that require tool use and multi-step planning.

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

Moonshot AI

Provider page Website Pricing Docs

Novita AI

Provider page Website Pricing Docs

Moonshot AI — Kimi — long-context frontier models from China's leading AI lab

Kimi K2 is a 1-trillion-parameter open-weight MoE model that scores competitively with Claude Sonnet on coding and agentic benchmarks.

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.

Key strengths compared

Moonshot AI

▸Kimi K2 is a 1T MoE open-weight model with strong coding scores
▸Competitive on agentic and tool-use benchmarks
▸Long-context support up to 128K tokens

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

Moonshot AI is a frontier lab, founded in 2023. Novita AI is a inference api, founded in 2023. Moonshot AI as a frontier lab trains and serves its own proprietary models. Novita AI as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.

How to choose between them

Choose Moonshot AI if you need kimi k2 is a 1t moe open-weight model with strong coding scores. 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.