Berget AI vs Voyage AI: Token Pricing, Speed & Intelligence
Full comparison of Berget AI and Voyage AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Berget AI
European AI inference — Mistral Small and GLM-5.3-Flash, priced in EUR ex-VAT
Berget AI is a Swedish AI inference provider offering open-weight models including Mistral-Small-3.2-24B-Instruct-2506 and GLM-5.3-Flash. Pricing is in EUR and excludes VAT. Continued API use requires a prepaid plan from EUR 25/month — it is not a pure no-plan pay-as-you-go service. Berget AI is positioned as a European-hosted alternative for teams with data-residency or regulatory requirements.
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.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Berget AI
Voyage AI
Key differentiators
European-hosted AI inference with EUR pricing and GDPR-friendly data residency — Mistral Small 3.2 and GLM-5.3-Flash from a Swedish provider.
Voyage 3.5 Lite delivers strong MTEB retrieval quality at cost-efficient pricing — with specialised variants for code and multimodal content.
Frequently asked questions
Berget AI FAQs
What is Berget AI?
Berget AI is a Swedish AI inference provider offering open-weight models including Mistral-Small-3.2-24B-Instruct-2506 and GLM-5.3-Flash. Pricing is in EUR and excludes VAT. See berget.ai/en/pricing for current rates.
How much does Berget AI cost?
As of October 2026: Mistral-Small-3.2-24B-Instruct-2506 is EUR 0.30 input / EUR 0.30 output per 1M tokens; GLM-5.3-Flash is EUR 0.25 input / EUR 0.50 output per 1M tokens. Prices exclude VAT. See berget.ai/en/pricing for current rates.
Does Berget AI require a subscription?
Continued API use requires a prepaid plan from EUR 25/month. It is not a pure no-plan pay-as-you-go service. See berget.ai/en/pricing for plan details.
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
Berget AI — European AI inference — Mistral Small and GLM-5.3-Flash, priced in EUR ex-VAT
Berget AI is a Swedish AI inference provider offering open-weight models including Mistral-Small-3.2-24B-Instruct-2506 and GLM-5.3-Flash. Pricing is in EUR and excludes VAT. Continued API use requires a prepaid plan from EUR 25/month — it is not a pure no-plan pay-as-you-go service. Berget AI is positioned as a European-hosted alternative for teams with data-residency or regulatory requirements.
European-hosted AI inference with EUR pricing and GDPR-friendly data residency — Mistral Small 3.2 and GLM-5.3-Flash from a Swedish provider.
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
Berget AI
- European-hosted inference — suitable for EU data-residency and GDPR requirements
- Mistral Small 3.2 and GLM-5.3-Flash at competitive EUR rates
- EUR-denominated pricing — no FX risk for European teams
- Prepaid plan from EUR 25/month required for continued API access — not pure PAYG
- Prices exclude VAT — effective cost is higher for non-VAT-registered users
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
Berget AI
- Prepaid plan from EUR 25/month required for continued API access — not pure PAYG
- Prices exclude VAT — effective cost is higher for non-VAT-registered users
- Small catalog compared to global inference APIs
Voyage AI
- Embeddings and reranking only — no chat or generation models
- Smaller ecosystem than OpenAI
- No open-weight models
Provider category context
Berget AI is a inference api, founded in 2023. 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 Berget AI 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.