# Subconscious vs Cohere

> Cohere builds for private enterprise RAG with a 256K ceiling. Subconscious builds for agent traces that run far past that, with a 5M+ effective context and processed-token billing.

Canonical: https://www.subconscious.dev/compare/subconscious-vs-cohere · By The Subconscious Team · Updated September 30, 2026

## How they compare

These two target different shapes of work. Cohere's generators top out at 256K on Command A and 128K on Command A+, which fits grounded question answering over retrieved documents but not a coding agent whose trace keeps growing for hours. Subconscious is built for that second case. It prunes the KV cache instead of rereading the whole context each step, delivers a 5M+ effective context window and 2x faster task completion against open models on standard inference, and bills only tokens processed after compression. Its managed API serves GLM 5.3 and DeepSeek V4.1 Flash, and it plugs into Claude Code, Codex and Cursor. Cohere's Command A lists at $2.50 in and $10 out, and Command A+ prices are not published.

Cohere wins on retrieval and enterprise deployment. Embed 4 handles text, images and PDFs, Rerank 4 prices per search of up to 100 documents, and both work alongside any generator, including Subconscious. Cohere runs on its API, Bedrock, Azure AI Foundry and Oracle OCI, and supports private VPC or on-prem deployment with fine-tuning inside that network. Aya adds multilingual coverage. Subconscious also offers dedicated and on-prem deployments that can run nearly any open model, but it has no embedding or reranking products. A sensible split: Cohere for search, reranking and short grounded answers, Subconscious for long-horizon agents.

## What each one does

### Subconscious

Subconscious is an MIT CSAIL spinout in Kendall Square that builds inference for long-horizon agents, the workloads where a single trace runs past 200K tokens and often into the millions. Its runtime drops in as a replacement for vLLM or SGLang. Instead of rereading an ever-growing context on every step, it prunes the KV cache and preserves suffix state, and Subconscious co-designs the runtime with post-trained model variants it calls Marathon. Against open models on standard inference, Subconscious delivers 2x faster task completion, delivers a 5M+ effective context window, cuts cost 50% and up to 80%, and scores neutral to 10% better on agentic benchmarks.

### 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.

## Which is best, and when

### Choose Subconscious for

- Coding agents whose traces outgrow a 256K window
- Long research runs billed on processed tokens
- Claude Code or Codex users wanting an open-model backend

### Choose Cohere for

- Embedding and reranking for enterprise search
- Private VPC or on-prem RAG with in-network fine-tuning
- Multilingual assistants on Aya models

## At a glance

| Attribute | Subconscious | Cohere |
|---|---|---|
| Model access | Open weights | Closed, plus open Command A+ |
| Flagship models | GLM 5.3, DeepSeek V4.1 Flash | Command A+, Command A, Embed 4, Rerank 4 |
| Speed | 2x faster task completion | 375 tok/s on Command A+ W4A4, per Cohere |
| Price | 50–80% lower cost; billed on processed tokens | $0.0375–$2.50 in, $0.15–$10 out per 1M |
| Customization | Marathon post-trained variants | Enterprise fine-tuning, incl. private |
| Deployment | Managed API, dedicated, on-prem | API, Bedrock, Azure, OCI, VPC, on-prem |
| Long context | 5M+ effective context | 256K on Command A; 128K on A+ |

## FAQ

### What is the difference between Subconscious and Cohere?

Cohere builds for private enterprise RAG with a 256K ceiling. Subconscious builds for agent traces that run far past that, with a 5M+ effective context and processed-token billing.

### When should I choose Subconscious over Cohere?

Coding agents whose traces outgrow a 256K window; Long research runs billed on processed tokens; Claude Code or Codex users wanting an open-model backend.

### When should I choose Cohere over Subconscious?

Embedding and reranking for enterprise search; Private VPC or on-prem RAG with in-network fine-tuning; Multilingual assistants on Aya models.

### Is Subconscious or Cohere cheaper?

Subconscious: 50–80% lower cost; billed on processed tokens. Cohere: $0.0375–$2.50 in, $0.15–$10 out per 1M. The cheaper choice depends on the model and workload.

### Which has more context, Subconscious or Cohere?

Subconscious: 5M+ effective context. Cohere: 256K on Command A; 128K on A+.

## Try Subconscious

Subconscious speaks the OpenAI and Anthropic API formats. Base URL: https://api.subconscious.dev/v1. Docs: https://docs.subconscious.dev. Get an API key: https://platform.subconscious.dev/signin. Agent guide: https://www.subconscious.dev/agents.md.

Full profiles: [Subconscious](https://www.subconscious.dev/providers/subconscious.md), [Cohere](https://www.subconscious.dev/providers/cohere.md).