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Berget AI vs TensorX: Token Pricing, Speed & Intelligence

Full comparison of Berget AI and TensorX — 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.

ChatOpen-sourceEuropean complianceCost-efficiency
Open-weight hostHosts open weights

TensorX

EU inference — Dublin, Helsinki, Paris — GLM-5.3, Kimi K3, zero data retention

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. USD pricing. Suited for EU workloads that need geographic diversity within Europe and a zero-retention policy.

EU inferencePrivacy-sensitive workloadsGeographic diversity
Open-weight hostHosts open weights

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

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
Small catalog compared to global inference APIs

TensorX

EU nodes in Dublin, Helsinki, and Paris — geographic diversity
Zero data retention policy
Prompt caching on GLM-5.3 (cached $0.44/1M vs $1.75/1M standard)
USD pricing — no currency conversion for international customers
Small model catalog
Prepaid credits only — no post-pay billing
Newer provider — limited third-party benchmark transparency

Key differentiators

Berget AI

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.

TensorX

EU inference with nodes in Dublin, Helsinki, and Paris, zero data retention, and prompt caching on GLM-5.3.

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.

TensorX FAQs

What is TensorX?

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. See tensorx.ai/pricing for current rates.

Does TensorX retain my data?

No. TensorX operates a zero data retention policy.

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.

TensorX — EU inference — Dublin, Helsinki, Paris — GLM-5.3, Kimi K3, zero data retention

TensorX is an EU inference provider with nodes in Dublin, Helsinki, and Paris. It offers GLM-5.3, Kimi K3, and GLM-5.3 Flash with zero data retention and prepaid credits. USD pricing. Suited for EU workloads that need geographic diversity within Europe and a zero-retention policy.

EU inference with nodes in Dublin, Helsinki, and Paris, zero data retention, and prompt caching on GLM-5.3.

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

TensorX

  • EU nodes in Dublin, Helsinki, and Paris — geographic diversity
  • Zero data retention policy
  • Prompt caching on GLM-5.3 (cached $0.44/1M vs $1.75/1M standard)
  • Small model catalog
  • Prepaid credits only — no post-pay billing

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

TensorX

  • Small model catalog
  • Prepaid credits only — no post-pay billing
  • Newer provider — limited third-party benchmark transparency

Provider category context

Berget AI is a inference api, founded in 2023. TensorX is a inference api, founded in 2024. 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 TensorX 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.