Cohere vs TensorX: Token Pricing, Speed & Intelligence
Full comparison of Cohere and TensorX — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Cohere
Command A and Command R7B — enterprise RAG, North platform, and on-premise deployment
Cohere focuses on enterprise NLP, particularly retrieval-augmented generation (RAG) and search. Command A is their 2025 flagship — a 111B-parameter model optimised for agentic and multi-step enterprise workflows. Command R7B is the efficient tier. The North platform provides a managed enterprise AI environment with private deployment, compliance controls, and a complete RAG stack (LLM + Embed 4 + Rerank 3). Check cohere.com/pricing for current 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.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Cohere
TensorX
Key differentiators
The only major LLM provider with a complete enterprise RAG stack — Command A, Embed 4, and Rerank 3 — plus the North platform for private deployment and compliance-grade enterprise AI.
EU inference with nodes in Dublin, Helsinki, and Paris, zero data retention, and prompt caching on GLM-5.3.
Frequently asked questions
Cohere FAQs
What is Command A?
Command A is Cohere's 2025 flagship model — a 111-billion-parameter model optimised for agentic and multi-step enterprise workflows, with a 256K token context window and strong tool-use performance. Check cohere.com/pricing for current rates.
What is Command R7B?
Command R7B is Cohere's efficient-tier model designed for high-volume RAG and classification workloads where cost efficiency is the priority. Check cohere.com/pricing for current rates.
What is the Cohere North platform?
North is Cohere's managed enterprise AI platform, providing a complete environment for building, deploying, and managing AI applications with private deployment, compliance controls, and integrated RAG capabilities. It is designed for enterprises with strict data residency requirements.
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
Cohere — Command A and Command R7B — enterprise RAG, North platform, and on-premise deployment
Cohere focuses on enterprise NLP, particularly retrieval-augmented generation (RAG) and search. Command A is their 2025 flagship — a 111B-parameter model optimised for agentic and multi-step enterprise workflows. Command R7B is the efficient tier. The North platform provides a managed enterprise AI environment with private deployment, compliance controls, and a complete RAG stack (LLM + Embed 4 + Rerank 3). Check cohere.com/pricing for current rates.
The only major LLM provider with a complete enterprise RAG stack — Command A, Embed 4, and Rerank 3 — plus the North platform for private deployment and compliance-grade enterprise AI.
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
Cohere
- Command A: 111B model optimised for agentic enterprise workflows
- Command R7B: efficient tier — cost-effective for high-volume RAG and classification
- Embed 4 + Rerank 3: strong RAG stack with native grounding and citations
- Intelligence scores trail OpenAI and Anthropic at frontier tier
- Less suitable for creative or general chat tasks
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
Cohere
- Intelligence scores trail OpenAI and Anthropic at frontier tier
- Less suitable for creative or general chat tasks
- Smaller developer community than OpenAI/Anthropic
TensorX
- Small model catalog
- Prepaid credits only — no post-pay billing
- Newer provider — limited third-party benchmark transparency
Provider category context
Cohere is a frontier lab, founded in 2019. TensorX is a inference api, founded in 2024. Cohere as a frontier lab trains and serves its own proprietary models. TensorX as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.
How to choose between them
Choose Cohere if you need command a: 111b model optimised for agentic enterprise workflows. Choose TensorX if you need EU inference. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.