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Infercom vs Voyage AI: Token Pricing, Speed & Intelligence

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

Infercom

EU inference on SambaNova chips — Gemma 4, gpt-oss-120b, Whisper, embeddings

Infercom is an EU-based inference provider running on SambaNova RDU chips, offering Gemma 4 31B, gpt-oss-120b, Whisper Large v3, and E5-Mistral embeddings. Prices are in EUR per 1M tokens, excl. VAT, on a PAYG basis. Suited for European workloads requiring EU infrastructure without the overhead of a sovereign gateway.

EU inferenceEmbeddingsTranscriptionCost-sensitive workloads
Open-weight hostHosts open weights

Voyage AI

Voyage 3.5 — strong MTEB retrieval quality for RAG and semantic search

Voyage AI specialises in embedding and reranking models for retrieval-augmented generation (RAG) and semantic search. Voyage 3.5 and its variants rank highly on the MTEB leaderboard for retrieval quality. The 2026 lineup adds Voyage 3.5 Lite (cost-efficient), Voyage Code 3 (code-optimised embeddings), and Voyage Multimodal 3 (image + text embeddings). Voyage AI is the default embedding provider for Anthropic's Claude documentation and many production RAG systems. Check voyageai.com for current rates.

RAG pipelinesSemantic searchDocument retrievalCode searchMultimodal retrievalReranking
Proprietary models

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

Infercom

EU-based infrastructure on SambaNova RDU chips
Competitive EUR pricing on Gemma 4 31B and gpt-oss-120b
Covers multiple modalities: chat, speech-to-text, embeddings
PAYG — no minimum spend
EUR pricing excluded from USD cross-provider comparisons
Small model catalog
Newer provider — limited ecosystem integrations

Voyage AI

Voyage 3.5 ranks highly on MTEB retrieval benchmarks
Voyage 3.5 Lite: cost-efficient embedding option
Voyage Code 3 for code-optimised embeddings
Voyage Multimodal 3 for image + text embeddings
Reranking models for two-stage retrieval pipelines
Default embedding provider for Anthropic Claude documentation
Embeddings and reranking only — no chat or generation models
Smaller ecosystem than OpenAI
No open-weight models

Key differentiators

Infercom

EU inference on SambaNova chips covering chat, speech-to-text, and embeddings at competitive EUR rates.

Voyage AI

Voyage 3.5 Lite delivers strong MTEB retrieval quality at cost-efficient pricing — with specialised variants for code and multimodal content.

Frequently asked questions

Infercom FAQs

What is Infercom?

Infercom is an EU-based inference provider running on SambaNova RDU chips. It offers Gemma 4 31B, gpt-oss-120b, Whisper Large v3, and E5-Mistral embeddings at PAYG EUR rates. See infercom.ai/pricing for current rates.

Does Infercom offer embeddings?

Yes. Infercom offers E5-Mistral embeddings at EUR 0.13 per 1M input tokens.

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 — it is purpose-built for the retrieval layer of AI applications.

How does Voyage AI compare to OpenAI embeddings?

Voyage 3.5 consistently scores well on MTEB benchmarks relative to OpenAI text-embedding-3-large, often at lower per-token cost. Check voyageai.com and openai.com/api/pricing for current rates to compare.

What is Voyage Code 3?

Voyage Code 3 is a code-optimised embedding model designed for code search and retrieval. It outperforms general-purpose embeddings on code-related retrieval tasks, making it the preferred choice for code search applications.

Provider resources

Infercom — EU inference on SambaNova chips — Gemma 4, gpt-oss-120b, Whisper, embeddings

Infercom is an EU-based inference provider running on SambaNova RDU chips, offering Gemma 4 31B, gpt-oss-120b, Whisper Large v3, and E5-Mistral embeddings. Prices are in EUR per 1M tokens, excl. VAT, on a PAYG basis. Suited for European workloads requiring EU infrastructure without the overhead of a sovereign gateway.

EU inference on SambaNova chips covering chat, speech-to-text, and embeddings at competitive EUR rates.

Voyage AI — Voyage 3.5 — strong MTEB retrieval quality for RAG and semantic search

Voyage AI specialises in embedding and reranking models for retrieval-augmented generation (RAG) and semantic search. Voyage 3.5 and its variants rank highly on the MTEB leaderboard for retrieval quality. The 2026 lineup adds Voyage 3.5 Lite (cost-efficient), Voyage Code 3 (code-optimised embeddings), and Voyage Multimodal 3 (image + text embeddings). Voyage AI is the default embedding provider for Anthropic's Claude documentation and many production RAG systems. Check voyageai.com for current rates.

Voyage 3.5 Lite delivers strong MTEB retrieval quality at cost-efficient pricing — with specialised variants for code and multimodal content.

Key strengths compared

Infercom

  • EU-based infrastructure on SambaNova RDU chips
  • Competitive EUR pricing on Gemma 4 31B and gpt-oss-120b
  • Covers multiple modalities: chat, speech-to-text, embeddings
  • EUR pricing excluded from USD cross-provider comparisons
  • Small model catalog

Voyage AI

  • Voyage 3.5 ranks highly on MTEB retrieval benchmarks
  • Voyage 3.5 Lite: cost-efficient embedding option
  • Voyage Code 3 for code-optimised embeddings
  • Embeddings and reranking only — no chat or generation models
  • Smaller ecosystem than OpenAI

Key weaknesses compared

Infercom

  • EUR pricing excluded from USD cross-provider comparisons
  • Small model catalog
  • Newer provider — limited ecosystem integrations

Voyage AI

  • Embeddings and reranking only — no chat or generation models
  • Smaller ecosystem than OpenAI
  • No open-weight models

Provider category context

Infercom is a inference api, founded in 2024. Voyage 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 Infercom and Voyage 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.