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Cohere vs Inference.net
Inference.net sells cheap batch on spare GPUs and distills traces into custom models. Cohere sells enterprise models with VPC and on-prem fine-tuning.
By The Subconscious Team · Updated
Cohere vs Inference.net: key differences
Both help teams build custom models, from different starting points. Inference.net's gateway routes traffic to open, closed or custom models under one key, captures every request, and turns that traffic into datasets for a task-specific fine-tune served on a dedicated GPU with a 99.99% uptime target. Its Batch API takes up to 1M requests per file with 24-hour to 7-day windows on discounted spare capacity. Cohere offers enterprise fine-tuning of its Command models, including inside a customer VPC or on-prem, with Command A at $2.50 in and $10 out and a 256K window.
The trade is price transparency and security posture. Inference.net publishes few independent benchmarks or pricing comparisons, and its fragmented capacity suits batch better than strict real-time SLAs. Cohere lists prices for Command A and R7B but not for Command A+, so production use often starts with sales. Cohere's Embed 4 and Rerank 4 give it a retrieval layer Inference.net does not offer, and its models are available through Bedrock, Azure and OCI. Teams that want to replace a narrow GPT-class task with a cheaper distilled model lean Inference.net. Teams that need their training data never to leave their network lean Cohere.
What Cohere and Inference.net 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 profileInference.net
Inference.net started as a buyer of last resort for idle GPU time. Its scheduler aggregates small unused chunks of capacity across data centers and runs models on them, and it passes the steep discounts it gets from those data centers on to customers. That origin still shows in its OpenAI-compatible Batch API, which takes up to 1M requests per file with completion windows from 24 hours to 7 days and far higher headroom than synchronous limits.
Example models: open catalog models plus customer fine-tunes served on dedicated GPUs
Full Inference.net profileShould you choose Cohere or Inference.net?
Cohere
Choose Cohere for
- Fine-tuning that stays on-prem
- Enterprise search with embeddings and reranking
- Multilingual assistants for global teams
Inference.net
Choose Inference.net for
- Million-request offline batch jobs
- Distilling production traces into small models
- Routing open and closed models under one key
Cohere vs Inference.net at a glance
| Attribute | Cohere | Inference.net |
|---|---|---|
| Model access | Closed, plus open Command A+ | Open, closed and custom |
| Flagship models | Command A+, Command A, Embed 4, Rerank 4 | Customer fine-tunes |
| Speed | 375 tok/s on Command A+ W4A4, per Cohere | Batch windows of 24h to 7 days |
| Price | $0.0375–$2.50 in, $0.15–$10 out per 1M | Discounted spare GPU capacity |
| Customization | Enterprise fine-tuning, incl. private | Distill traces into custom models |
| Deployment | API, Bedrock, Azure, OCI, VPC, on-prem | Batch API, gateway, dedicated GPUs |
| Long context | 256K on Command A; 128K on A+ | Varies by model |
Frequently asked questions
What is the difference between Cohere and Inference.net?
Inference.net sells cheap batch on spare GPUs and distills traces into custom models. Cohere sells enterprise models with VPC and on-prem fine-tuning.
When should I choose Cohere over Inference.net?
Fine-tuning that stays on-prem; Enterprise search with embeddings and reranking; Multilingual assistants for global teams.
When should I choose Inference.net over Cohere?
Million-request offline batch jobs; Distilling production traces into small models; Routing open and closed models under one key.
Is Cohere or Inference.net cheaper?
Cohere: $0.0375–$2.50 in, $0.15–$10 out per 1M. Inference.net: Discounted spare GPU capacity. The cheaper choice depends on the model and workload.
Which has more context, Cohere or Inference.net?
Cohere: 256K on Command A; 128K on A+. Inference.net: Varies by model.
Related comparisons
Running long-horizon agents?
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.