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Meta vs Cohere
Meta's Muse Spark is a mid-priced agentic model on a preview API with a near-free data-sharing tier. Cohere is a mature enterprise vendor built around retrieval and private deployment.
By The Subconscious Team · Updated
Meta vs Cohere: key differences
Meta's Muse Spark 1.3 has a 1M context window at $1.25 in and $4.25 out, with cached input at $0.15, and its endpoint speaks OpenAI, Anthropic and a stateful agentic format. Meta reports around 145 to 233 tokens per second. Cohere's Command A lists at $2.50 in and $10 out with 256K context, and Command A+ runs 128K, with Cohere claiming 375 tokens per second in 4-bit form. On list price and context, Meta leads. The Contributor tier cuts Meta's price about 95% if Meta may train on your traffic, which rules it out for most business data.
Maturity and control favor Cohere. Meta's API is still in public preview with a short track record, and it runs only on Meta's service, though Muse Glimmer ships as open weights for self-hosting. Cohere's open Command A+ is the flagship itself, under Apache 2.0, and Cohere supports VPC and on-prem installs with fine-tuning plus availability on Bedrock, Azure AI Foundry and OCI. Meta bundles Muse Image and Muse Voice Transcribe on one key. Cohere bundles Embed 4 and Rerank 4. Pick Meta for cheap agentic prototypes, Cohere for governed production search.
What Meta and Cohere do
Meta
Meta has moved from open Llama releases toward its own closed API. Meta Superintelligence Labs builds the Muse family, and in July 2026 Meta opened a public preview of the Meta Model API with Muse Spark 1.1, a multimodal reasoning model aimed at agentic coding, tool use and computer use. The current lineup runs through Muse Spark 1.3 with a 1M token context. Standard pricing is $1.25 in and $4.25 out per million tokens, with cached input at $0.15, and the endpoint speaks OpenAI Chat Completions, Anthropic Messages and a stateful agentic format.
Example models: Muse Spark 1.3, Muse Glimmer
Full Meta profileCohere
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 profileShould you choose Meta or Cohere?
Meta vs Cohere at a glance
| Attribute | Meta | Cohere |
|---|---|---|
| Model access | Closed API; open Muse Glimmer | Closed, plus open Command A+ |
| Flagship models | Muse Spark 1.3, Muse Glimmer | Command A+, Command A, Embed 4, Rerank 4 |
| Speed | ~145–233 tok/s on Muse Spark 1.3 | 375 tok/s on Command A+ W4A4, per Cohere |
| Price | $1.25 in, $4.25 out; Contributor tier cheaper | $0.0375–$2.50 in, $0.15–$10 out per 1M |
| Customization | Open Muse Glimmer weights to fine-tune | Enterprise fine-tuning, incl. private |
| Deployment | Meta Model API (preview) | API, Bedrock, Azure, OCI, VPC, on-prem |
| Long context | 1M | 256K on Command A; 128K on A+ |
Frequently asked questions
What is the difference between Meta and Cohere?
Meta's Muse Spark is a mid-priced agentic model on a preview API with a near-free data-sharing tier. Cohere is a mature enterprise vendor built around retrieval and private deployment.
When should I choose Meta over Cohere?
Cost-sensitive coding agents with 1M context; Prototyping on the near-free Contributor tier; Image generation and transcription on one key.
When should I choose Cohere over Meta?
Production enterprise search with a track record; Flagship open weights for on-prem use; Fine-tuning inside a private network.
Is Meta or Cohere cheaper?
Meta: $1.25 in, $4.25 out; Contributor tier cheaper. 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, Meta or Cohere?
Meta: 1M. Cohere: 256K on Command A; 128K on A+.
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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.