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

Full comparison of Moonshot AI and Voyage 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

Voyage AI

State-of-the-art embedding and reranking models

Voyage AI specialises in embedding and reranking models for retrieval-augmented generation (RAG) and semantic search. Voyage 3.5 and its variants consistently top the MTEB leaderboard for retrieval quality.

RAG pipelinesSemantic searchDocument retrievalReranking
Proprietary models

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

Voyage AI

Top MTEB leaderboard performance
Multimodal embedding support
Very competitive pricing
Embeddings and reranking only — no chat models
Smaller ecosystem than OpenAI

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.

Voyage AI

Voyage 3.5 Lite offers top-tier retrieval quality at just $0.02/1M tokens — the most cost-effective high-quality embedding available.

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.

Voyage AI FAQs

What is Voyage AI used for?

Voyage AI provides embedding and reranking models for RAG pipelines, semantic search, and document retrieval. It does not offer chat or text generation models.

How does Voyage AI compare to OpenAI embeddings?

Voyage 3.5 consistently outperforms OpenAI text-embedding-3-large on MTEB benchmarks while being significantly cheaper. It is the preferred choice for production RAG systems.

Provider resources

Moonshot AIKimi — 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.

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

Voyage AIState-of-the-art embedding and reranking models

Voyage AI specialises in embedding and reranking models for retrieval-augmented generation (RAG) and semantic search. Voyage 3.5 and its variants consistently top the MTEB leaderboard for retrieval quality.

Voyage 3.5 Lite offers top-tier retrieval quality at just $0.02/1M tokens — the most cost-effective high-quality embedding available.

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

Voyage AI

  • Top MTEB leaderboard performance
  • Multimodal embedding support
  • Very competitive pricing

Provider category context

Moonshot AI is a frontier lab, founded in 2023. Voyage AI is a inference api, founded in 2023. Moonshot AI as a frontier lab trains and serves its own proprietary models. Voyage 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 Voyage AI if you need top mteb leaderboard performance. 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.