Software · head to head
Cohere vs Google Vertex AI

Google Vertex AI
Software
Unified ML platform to build, deploy, and scale AI models
- From
- On request
- Rated
- -
The short version
- Only Cohere has a free tier, so it costs nothing to try first.
- Each has a real cost: Cohere aPI-only service with no self-hosted options for most users; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- They diverge on capability: Cohere covers Generate, Google Vertex AI covers AutoML.
Where they differ
Only the attributes on which Cohere and Google Vertex AI actually diverge.
| Attribute | Cohere | Google Vertex AI |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | Unknown |
| Free tier | Yes | No |
| Platforms | Api, Cloud | Cloud, Web |
| Founded | 2019 | 2008 |
Identical on both: user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Cohere
- Generate
- Embed
- Rerank
- Classify
- REST API
- SDKs
- Cloud deployment
- Api support
Only in Google Vertex AI
- AutoML
- Custom training
- Feature Store
- Model monitoring
- Prediction serving
- BigQuery
- Cloud Storage
- TensorFlow
What people use each for
The jobs each tool is most often brought in to do.
Cohere
- ai tools managementnot Google Vertex AI
- Workflow automationnot Google Vertex AI
- Reportingnot Google Vertex AI
Google Vertex AI
- Machine learningnot Cohere
- Data analysisnot Cohere
- Model trainingnot Cohere
- Predictive analyticsnot Cohere
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cohere
- API-only service with no self-hosted options for most users
- Trial tier severely limited at 1,000 calls per month
- Smaller context window compared to some competing APIs
- Less emphasis on safety and alignment compared to competing APIs
Google Vertex AI
- Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- Requires familiarity with Google Cloud Platform infrastructure and concepts
- Cost can escalate quickly with large training and inference workloads
Pricing, plan by plan
Cohere
Free- Free TrialFree
- Rate limited
- Evaluation
- Production$0.4/per-million-tokens
- Full access
- SLA
Google Vertex AI
On requestNo published plan breakdown. See the Google Vertex AI review.
Which should you pick?
Choose Cohere if
- You need generate.
- You want to start without paying.
- You work on Api, Cloud.
- You also want embed.
Choose Google Vertex AI if
- You need automl.
- You work on Cloud, Web.
- You also want custom training.
Questions people ask
- Is Cohere or Google Vertex AI better?
- Neither clearly leads. Cohere starts at Free and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cohere or Google Vertex AI?
- Cohere has a free tier; the other does not. Paid plans start at Free for Cohere and On request for Google Vertex AI.
- Does Cohere or Google Vertex AI run on more platforms?
- Cohere runs on Api, Cloud. Google Vertex AI runs on Cloud, Web.
- Can I use Cohere for free?
- Yes. Cohere has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
- What is Cohere best used for?
- Cohere is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Google Vertex AI is typically brought in for.
- What can Cohere do that Google Vertex AI cannot?
- Cohere covers Generate, Embed, Rerank, Classify. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring.
Answered from the vendors’ own pages
Cohere: Does Cohere offer a free tier?
Yes. Cohere provides Trial API keys that allow 1,000 free API calls per month across all models and endpoints. Trial keys are rate-limited to 20 requests per minute for Chat endpoints and 5-10 requests per minute for other endpoints, and cannot be used for production or commercial purposes.
SourceGoogle Vertex AI: What is the pricing model for Google Vertex AI?
Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.
SourceCohere: What is the cost structure for production use?
Cohere uses pay-as-you-go pricing based on tokens consumed. Costs vary by model: Command costs from 0.15 to 2.50 USD per 1M input tokens, with output tokens priced higher. Embed models cost 0.10 USD per 1M input tokens. Production keys have monthly billing with invoices at month-end or when charges reach 250 USD.
SourceGoogle Vertex AI: What types of data can Vertex AI handle?
Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.
SourceCohere: Can I self-host Cohere models?
No. Cohere operates as an API-only platform. However, enterprise customers can arrange dedicated or managed deployments through the Model Vault platform starting at 4.00 USD per hour with custom pricing for dedicated instances.
SourceGoogle Vertex AI: Does Vertex AI support custom model training?
Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.
SourceCohere: What are the main differences between Cohere and Claude API?
Cohere excels in cost-effective NLP applications and retrieval-augmented generation (RAG) capabilities. Claude API emphasizes reasoning and safety with Constitutional AI training. Cohere's Command R+ offers similar performance to GPT-4 at 40-50 percent lower cost, while Claude focuses on factual accuracy and transparency.
SourceGoogle Vertex AI: What deployment options are available in Vertex AI?
Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.
SourceRelated pages
More on Google Vertex AI
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