Berget AI vs OctoAI: Token Pricing, Speed & Intelligence
Full comparison of Berget AI and OctoAI — 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.
OctoAI
Acquired by NVIDIA — OctoAI inference is now available via NVIDIA NIM
OctoAI was acquired by NVIDIA in 2024 and its inference platform has been integrated into NVIDIA NIM (Inference Microservices). Existing OctoAI customers have been migrated to NVIDIA NIM, which provides the same optimised open-weight model inference on NVIDIA GPU infrastructure with TensorRT-LLM acceleration. New users should use NVIDIA NIM directly for access to Llama 4, Mistral, Qwen3, and other open-weight models.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Berget AI
OctoAI
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.
OctoAI's inference technology lives on inside NVIDIA NIM — the same hardware-aware optimisation, now with TensorRT-LLM acceleration and NVIDIA's global GPU infrastructure behind it.
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.
OctoAI FAQs
What happened to OctoAI?
OctoAI was acquired by NVIDIA in 2024. Its inference platform has been integrated into NVIDIA NIM (Inference Microservices). Existing customers were migrated to NIM, which provides the same optimised open-weight model inference on NVIDIA GPU infrastructure.
Can I still use the OctoAI API?
The original OctoAI API endpoints have been deprecated. Existing OctoAI customers should migrate to NVIDIA NIM, which provides equivalent functionality with TensorRT-LLM optimisation and access to the full NVIDIA model catalog.
What is NVIDIA NIM?
NVIDIA NIM (Inference Microservices) are containerized AI inference packages optimized for NVIDIA GPUs using TensorRT-LLM. They can be accessed via the NVIDIA API catalog at build.nvidia.com or self-hosted on any NVIDIA GPU infrastructure.
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.
OctoAI — Acquired by NVIDIA — OctoAI inference is now available via NVIDIA NIM
OctoAI was acquired by NVIDIA in 2024 and its inference platform has been integrated into NVIDIA NIM (Inference Microservices). Existing OctoAI customers have been migrated to NVIDIA NIM, which provides the same optimised open-weight model inference on NVIDIA GPU infrastructure with TensorRT-LLM acceleration. New users should use NVIDIA NIM directly for access to Llama 4, Mistral, Qwen3, and other open-weight models.
OctoAI's inference technology lives on inside NVIDIA NIM — the same hardware-aware optimisation, now with TensorRT-LLM acceleration and NVIDIA's global GPU infrastructure behind it.
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
OctoAI
- Now backed by NVIDIA's full GPU infrastructure and TensorRT-LLM stack
- Seamless migration path for existing OctoAI customers to NVIDIA NIM
- Access to NVIDIA's full open-weight model catalog via NIM
- OctoAI as a standalone product no longer exists — new users should use NVIDIA NIM directly
- Migration required for any OctoAI-specific API integrations
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
OctoAI
- OctoAI as a standalone product no longer exists — new users should use NVIDIA NIM directly
- Migration required for any OctoAI-specific API integrations
- Self-hosted path requires NVIDIA GPU infrastructure investment
Provider category context
Berget AI is a inference api, founded in 2023. OctoAI is a inference api, founded in 2022. 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 OctoAI 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.