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Cohere vs Crusoe
Cohere brings Command models that can run on-prem. Crusoe brings its own data centers, a small open-model catalog and a cluster-wide KV cache.
By The Subconscious Team · Updated
Cohere vs Crusoe: key differences
Cohere is a model vendor and Crusoe is an infrastructure company, so they meet only at the inference API. Crusoe's serverless tier carries DeepSeek V4, GLM 5.3, Kimi K2.6, Gemma, gpt-oss and Nemotron from $0.05 in and $0.20 out per million tokens. Its MemoryAlloy cache shares computed prefixes across nodes, and Crusoe claims up to 9.9x faster time to first token than vLLM on prefix-heavy work. Cohere's Command A costs $2.50 in and $10 out with 256K context, and Cohere reports 375 tokens per second on Command A+ in 4-bit form. For agents resending long context, Crusoe's cache and lower rates usually win on price.
Where data can live is the sharper difference. Cohere will deploy Command models, Embed 4, Rerank 4 and fine-tuning in a customer VPC or on-prem, and it sells through Bedrock, Azure and OCI. Crusoe keeps everything in Crusoe Cloud, though it spans serverless tokens, self-serve dedicated deployments at $5.50 an hour on H100, tailored deployments with SLAs and raw GB200 or B200 clusters. Crusoe added LoRA fine-tuning in July 2026. Cohere's Model Vault starts at $4 an hour for dedicated instances. Teams that need retrieval models or air-gapped installs lean Cohere; teams that want open frontier weights and GPU capacity lean Crusoe.
What Cohere and Crusoe do
Cohere
Cohere is a Toronto-based lab that sells models and platforms to banks, governments and large enterprises rather than consumers. Its generative line is the Command family. Command A+, released May 20, 2026, is a 218B-parameter mixture-of-experts model with 25B active, published under Apache 2.0 with a 128K context window, and it combines reasoning, vision, translation and tool use in one set of weights. Command A has a 256K window and lists at $2.50 in and $10 out per million tokens, while Command R7B costs $0.0375 in. June 2026 added North Mini Code, a 30B Apache 2.0 coding model, and the lineup also includes Aya multilingual models and Transcribe for speech.
Example models: Command A+, Command A, Embed 4, Rerank 4
Full Cohere profileCrusoe
Crusoe started in 2018 turning wasted natural gas into power for computing and has since become a vertically integrated AI infrastructure company: it sources energy, builds data centers and rents GPUs through Crusoe Cloud. It designed and built the Abilene, Texas campus behind the OpenAI and Oracle Stargate project, planned at 1.2 GW, and in March 2026 announced an adjacent 900 MW campus for Microsoft. On September 17, 2026 it closed the first part of a $3.9B Series F at a $30.9B post-money valuation, and it reports over 6 GW of contracted capacity. Crusoe Cloud lists GB200 NVL72, B200 and AMD MI355X by quote, with H100 at $3.90 and H200 at $4.29 per GPU-hour on demand.
Example models: DeepSeek V4 Pro, GLM 5.3, Kimi K2.6
Full Crusoe profileShould you choose Cohere or Crusoe?
Cohere
Choose Cohere for
- On-prem RAG with embeddings and reranking
- Regulated buyers needing private fine-tuning
- Multilingual assistants built on Command and Aya
Crusoe
Choose Crusoe for
- Agents that reuse long shared prefixes
- Fine-tuning and serving open models in one cloud
- Large GB200 or B200 training clusters
Cohere vs Crusoe at a glance
| Attribute | Cohere | Crusoe |
|---|---|---|
| Model access | Closed, plus open Command A+ | Open weights |
| Flagship models | Command A+, Command A, Embed 4, Rerank 4 | DeepSeek V4, GLM 5.3, Kimi K2.6, Nemotron 3 |
| Speed | 375 tok/s on Command A+ W4A4, per Cohere | Up to 9.9x faster TTFT vs vLLM (vendor claim) |
| Price | $0.0375–$2.50 in, $0.15–$10 out per 1M | $0.05–$1.74 in, $0.20–$4.40 out per 1M |
| Customization | Enterprise fine-tuning, incl. private | Serverless LoRA fine-tuning |
| Deployment | API, Bedrock, Azure, OCI, VPC, on-prem | Serverless, self-serve and tailored dedicated, raw GPUs |
| Long context | 256K on Command A; 128K on A+ | Varies by model; cluster-wide KV cache |
Frequently asked questions
What is the difference between Cohere and Crusoe?
Cohere brings Command models that can run on-prem. Crusoe brings its own data centers, a small open-model catalog and a cluster-wide KV cache.
When should I choose Cohere over Crusoe?
On-prem RAG with embeddings and reranking; Regulated buyers needing private fine-tuning; Multilingual assistants built on Command and Aya.
When should I choose Crusoe over Cohere?
Agents that reuse long shared prefixes; Fine-tuning and serving open models in one cloud; Large GB200 or B200 training clusters.
Is Cohere or Crusoe cheaper?
Cohere: $0.0375–$2.50 in, $0.15–$10 out per 1M. Crusoe: $0.05–$1.74 in, $0.20–$4.40 out per 1M. The cheaper choice depends on the model and workload.
Which has more context, Cohere or Crusoe?
Cohere: 256K on Command A; 128K on A+. Crusoe: Varies by model; cluster-wide KV cache.
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If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.