Infercom vs TensorX: Token Pricing, Speed & Intelligence
Full comparison of Infercom and TensorX — 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.
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.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Infercom
TensorX
Key differentiators
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.
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
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.
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
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
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
Infercom
- EUR pricing excluded from USD cross-provider comparisons
- Small model catalog
- Newer provider — limited ecosystem integrations
TensorX
- Small model catalog
- Prepaid credits only — no post-pay billing
- Newer provider — limited third-party benchmark transparency
Provider category context
Infercom is a inference api, founded in 2024. 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 Infercom 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.