Berget AI vs Deep Infra: Token Pricing, Speed & Intelligence
Full comparison of Berget AI and Deep Infra — 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.
Deep Infra
Ultra-cheap open-weight inference — Llama 4, DeepSeek V4 Pro, Qwen3 at rock-bottom prices
Deep Infra is an inference-focused API provider that consistently offers the lowest per-token prices for open-weight models. The 2026 catalog includes Llama 4 Scout/Maverick, DeepSeek V4 Pro, Qwen3-235B, Kimi K3, and the full Llama 3.x family. Deep Infra is the go-to choice for cost-sensitive production inference where price is the primary constraint.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Berget AI
Deep Infra
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.
The most price-competitive inference API for open-weight models — Llama 4, DeepSeek V4 Pro, and Qwen3 at prices 30–50% below comparable providers, with zero migration friction via OpenAI-compatible API.
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.
Deep Infra FAQs
What models does Deep Infra support in 2026?
Deep Infra hosts Llama 4 Scout and Maverick, DeepSeek V4 Pro, Qwen3-235B, Kimi K3, the full Llama 3.x family, Mistral, Mixtral, and many others. The catalog is updated rapidly as new open-weight models are released.
How cheap is Deep Infra compared to other providers?
Deep Infra is consistently among the more affordable providers for open-weight models. Check deepinfra.com/pricing for current rates on Llama 3.1 8B, Llama 3.3 70B, and other models.
Is Deep Infra OpenAI-compatible?
Yes. Deep Infra provides an OpenAI-compatible API, so you can use the OpenAI SDK by pointing it at the Deep Infra endpoint. This makes migration from OpenAI or other providers straightforward.
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.
Deep Infra — Ultra-cheap open-weight inference — Llama 4, DeepSeek V4 Pro, Qwen3 at rock-bottom prices
Deep Infra is an inference-focused API provider that consistently offers the lowest per-token prices for open-weight models. The 2026 catalog includes Llama 4 Scout/Maverick, DeepSeek V4 Pro, Qwen3-235B, Kimi K3, and the full Llama 3.x family. Deep Infra is the go-to choice for cost-sensitive production inference where price is the primary constraint.
The most price-competitive inference API for open-weight models — Llama 4, DeepSeek V4 Pro, and Qwen3 at prices 30–50% below comparable providers, with zero migration friction via OpenAI-compatible API.
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
Deep Infra
- Consistently lowest prices for open-weight models — often 30–50% below competitors
- 2026 catalog: Llama 4, DeepSeek V4 Pro, Qwen3-235B, Kimi K3
- Wide model catalog updated rapidly as new models release
- No proprietary models — open-weight only
- No enterprise SLAs or dedicated support
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
Deep Infra
- No proprietary models — open-weight only
- No enterprise SLAs or dedicated support
- Smaller ecosystem than Together AI or Fireworks
Provider category context
Berget AI is a inference api, founded in 2023. Deep Infra 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 Deep Infra 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.