# Cohere vs Venice

> Both pitch data control, in opposite ways. Cohere puts models inside your network; Venice keeps its own hosting but promises zero retention and TEE options.

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

## How they compare

Cohere and Venice both sell privacy, but the mechanism differs. Cohere deploys Command models, Embed 4, Rerank 4 and fine-tuning in a customer VPC or on-prem, so prompts never leave the buyer's infrastructure. Venice runs open models such as GLM 5.3, Kimi K3 and DeepSeek V4 under contract-enforced zero data retention, with TEE inference or end-to-end encryption on select models. Its closed models from Anthropic, OpenAI and Google go through an anonymized tier, where the upstream provider still sees prompt content and prices sit above direct list, like Claude Fable 5.1 at $12 in and $60 out.

Catalog and payment set them further apart. Venice covers 370+ models across text, image, audio and video, most current models with 1M context, plus uncensored fine-tunes other hosts filter out. It accepts USD, crypto, USDC per request via x402, or daily credit from staking DIEM. Cohere offers a narrower, enterprise-focused set: Command A at $2.50 in and $10 out with 256K context, Command A+ under Apache 2.0, Aya and Transcribe, sold directly and through Bedrock, Azure and OCI. Venice has no fine-tuning. Regulated enterprises tend to fit Cohere, while consumer and crypto-native products that want broad model choice fit Venice.

## What each one does

### 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.

### Venice

Venice is a privacy-focused AI platform founded in 2024 by Erik Voorhees, the crypto entrepreneur behind ShapeShift. It pairs a consumer chat app with a developer API that works as a drop-in replacement for OpenAI's chat endpoint and covers text, image, audio and video across 370+ models. Open models such as GLM 5.3, Kimi K3, DeepSeek V4 and Venice's own uncensored fine-tunes run under a private tier with contract-enforced zero data retention, and some add TEE inference or end-to-end encryption, where only an attested enclave can decrypt the prompt. Closed models from Anthropic, OpenAI and Google are proxied under an anonymized tier that hides user identity but leaves prompt content visible to the upstream provider.

## Which is best, and when

### Choose Cohere for

- Keeping prompts inside your own VPC
- Fine-tuning on private enterprise data
- Retrieval pipelines with Embed and Rerank

### Choose Venice for

- Zero-retention inference on open models
- Creative apps needing uncensored models
- Paying for inference in crypto or USDC

## At a glance

| Attribute | Cohere | Venice |
|---|---|---|
| Model access | Closed, plus open Command A+ | Open weights, plus proxied closed models |
| Flagship models | Command A+, Command A, Embed 4, Rerank 4 | GLM 5.3, Kimi K3, DeepSeek V4 Pro |
| Speed | 375 tok/s on Command A+ W4A4, per Cohere | - |
| Price | $0.0375–$2.50 in, $0.15–$10 out per 1M | $0.06–$12 in, $0.28–$60 out per 1M; DIEM staking |
| Customization | Enterprise fine-tuning, incl. private | - |
| Deployment | API, Bedrock, Azure, OCI, VPC, on-prem | Serverless API, consumer app |
| Long context | 256K on Command A; 128K on A+ | 1M on most current models |

## FAQ

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

Both pitch data control, in opposite ways. Cohere puts models inside your network; Venice keeps its own hosting but promises zero retention and TEE options.

### When should I choose Cohere over Venice?

Keeping prompts inside your own VPC; Fine-tuning on private enterprise data; Retrieval pipelines with Embed and Rerank.

### When should I choose Venice over Cohere?

Zero-retention inference on open models; Creative apps needing uncensored models; Paying for inference in crypto or USDC.

### Is Cohere or Venice cheaper?

Cohere: $0.0375–$2.50 in, $0.15–$10 out per 1M. Venice: $0.06–$12 in, $0.28–$60 out per 1M; DIEM staking. The cheaper choice depends on the model and workload.

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

Cohere: 256K on Command A; 128K on A+. Venice: 1M on most current models.

## Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious: [Subconscious vs Cohere](https://www.subconscious.dev/compare/subconscious-vs-cohere.md), [Subconscious vs Venice](https://www.subconscious.dev/compare/subconscious-vs-venice.md).

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