A free trial is not currently offered; API access requires purchasing at least $5 in credits.
Teams need a payment method and an initial credit purchase before they can assess paid API usage.
Evidence source ↗
Together AI
Together AI provides APIs and cloud infrastructure for running, fine-tuning, and deploying AI models, alongside GPU compute, storage, and code sandboxes.
6 key claims verifiedOur editorial team checked this profile against vendor documentation, pricing information, product documentation. Supported by 6 documented sources.
Editorial overview
Aggregated Overview
The platform spans model inference, fine-tuning, dedicated deployments, GPU compute, and storage. G2 reports 4.3/5 from 99 reviews, but these scores are editorial assessments, not hands-on test results.
This profile combines documented product information and independent evidence where available. It is not a hands-on test unless TechZella explicitly identifies one.
Overview
Together AI is a cloud platform for developing and operating AI applications. Its services include serverless and dedicated inference, model fine-tuning, GPU compute, managed storage, and code sandboxes.
Developers can call models through an OpenAI-compatible API. Teams can begin with serverless inference and select dedicated or provisioned capacity for workloads with different traffic and control requirements.
Together AI Decision Snapshot
A quick way to understand who this product may suit, where its limits matter, and which facts are most relevant before you compare alternatives.
Best suited to
Development teams that want API access to multiple open-weight models and a path from serverless testing to fine-tuning or dedicated inference.
Look elsewhere if
Buyers seeking a free trial or a fixed, predictable monthly price for all model usage may prefer another arrangement; access requires at least a $5 credit purchase, and prices vary by model and service, and should evaluate alternatives such as Fireworks AI or Replicate instead.
Platforms
API, Cloud, Python, SaaS, Web
TechZella assessment
8.2/10
Together AI — What Sets It Apart?
These are the product-specific differences that may matter when deciding whether the software fits your workflow. They are based on documented evidence rather than a universal ranking.
- A single OpenAI-compatible API supports serverless and dedicated inference, making it possible to move deployments without changing the API style.
- The product combines model inference with fine-tuning, GPU clusters, managed storage, and code sandboxes.
- Dedicated inference uses isolated single-tenant GPUs, while serverless inference is billed by usage.
Together AI Pros & Cons
Pros
- Offers a broad set of AI development services, including inference, fine-tuning, and GPU infrastructure.
- OpenAI-compatible API provides a documented integration path for supported inference workflows.
- Serverless and dedicated deployment choices address different traffic and isolation requirements.
- Official Python SDK is available.
Cons
- No free trial is currently offered, and platform access requires a minimum $5 credit purchase.
- Total costs depend on the selected model, token types, and separately priced infrastructure services.
- Zero Data Retention requires user configuration and does not apply to earlier requests.
Together AI Gotchas & Operational Limits
These are documented constraints or practical friction points that may matter before you adopt the product.
Zero Data Retention is enabled through privacy settings and does not apply retroactively.
Organizations with data-handling requirements should configure the setting before submitting prompts or other content.
Evidence source ↗Serverless, dedicated inference, fine-tuning, compute, and storage use different pricing units.
Estimating spend requires identifying the selected service, model, usage pattern, and any reserved capacity.
Evidence source ↗Together AI Pricing & Plans
Serverless Inference
Model-dependent
per 1M tokens
Rates vary by model and input, output, or cached token type. The official pricing page lists current model-specific rates.
Check current pricing →Prepaid credits
$5 minimum
initial purchase
The support page says platform access requires a minimum $5 credit purchase; no free trial is currently offered.
Check current pricing →Dedicated Inference
$5.49 per GPU
hour
The pricing page lists NVIDIA HGX H100 on-demand GPU pricing at this rate; other hardware and reserved pricing may differ.
Check current pricing →Pricing may change. Verify current plans on the vendor's website.
Together AI Competitors & Alternatives
Compare similar products directly, then see which alternatives may make more sense when your requirements differ.
At a glance
Artificial Intelligence Software| Decision factor | Together AI | Fireworks AI | Replicate |
|---|---|---|---|
| Inference pricing model | Serverless inference is priced by model and tokens; dedicated GPUs have separate rates. | Serverless inference uses prepaid usage-based credits, while on-demand deployments are billed by GPU time. Source ↗ | Not documented |
| Fine-tuning | Offers LoRA and full fine-tuning with model-specific per-token rates and minimum charges. | Lists supervised and preference fine-tuning rates by model-size tier and training tokens. Source ↗ | Not documented |
| Primary usage billing | Serverless inference rates are listed per model, commonly per million tokens; other services have separate units. | Not documented | Public models may be billed by runtime and hardware or by model-specific input/output measures. Source ↗ |
| Model deployment | Offers serverless and dedicated model inference, including custom model deployment. | Not documented | Hosts public contributed models and supports deploying custom models packaged with Cog. Source ↗ |
Only factors supported by the available research are shown. The comparison is descriptive, not a ranking.
Direct competitors
These products address broadly similar requirements. The descriptions focus on documented reasons a buyer might compare them with Together AI.
Fireworks AIInference pricing model: Serverless inference uses prepaid usage-based credits, while on-demand deployments are billed by GPU time.
Together AI Features
Model inference
- Serverless real-time inference
- Batch inference
- OpenAI-compatible API
- Dedicated model inference
- Provisioned throughput
- Dedicated container inference
Model development
- LoRA fine-tuning
- Full fine-tuning
- Fine-tune supported open-source models
- Python API client
Infrastructure
- GPU clusters
- Managed storage
- Code sandbox
- Code interpreter
Privacy controls
- Optional Zero Data Retention setting
- Privacy settings for prompt and response retention
Demo & Screenshots
Together AI Specifications
| Deployment | Cloud-hosted; serverless, provisioned, and dedicated options |
|---|---|
| API | OpenAI-compatible inference API |
| Official SDK | Python client; Python 3.9+ |
| Free trial | Not currently offered |
| Minimum platform purchase | $5 in credits |
| Data retention control | Optional Zero Data Retention setting; not retroactive |
| Fine-tuning methods | LoRA and full fine-tuning |
Deployment & System Footprint
Verified installation, hosting, administration, or environment details that can affect implementation.
| Hosting | Cloud-hosted serverless inference, dedicated model inference, dedicated container inference, GPU compute, and managed storage are offered. Source ↗ |
|---|---|
| Inference deployment | Options include shared serverless inference, provisioned throughput, and dedicated inference on isolated single-tenant GPUs. Source ↗ |
Migration & Lock-In
Documented portability, standards, export, or switching considerations. No switching-cost score is shown unless the evidence supports one.
API compatibility
Together AI documents an OpenAI-compatible API. Its serverless and dedicated inference options share that API, allowing a deployment change by updating the endpoint.
Evidence source ↗Python SDK
Together published a Python SDK 2.0 migration guide covering API changes and troubleshooting for users moving from the earlier SDK.
Evidence source ↗Our evidence-based assessment
TechZella Score
A proprietary editorial score based on product capabilities, usability, value, performance, support and user sentiment evidence.
8.2/10Moderate confidence
The platform spans model inference, fine-tuning, dedicated deployments, GPU compute, and storage. G2 reports 4.3/5 from 99 reviews, but these scores are editorial assessments, not hands-on test results.
Methodology v1.0. The assessment weighs feature coverage (25%), ease of use (15%), value for money (20%), performance (15%), support (10%) and user sentiment (15%), using researched product evidence and verified review evidence where available. It is a TechZella editorial assessment, not a direct user-review average.
Editorial transparency
Our Review Methodology
Key claims are linked to the sources used to verify them. This evidence record is separate from third-party user ratings.
TechZella evaluates software using documented product capabilities, pricing information, usability and value considerations, independent user evidence where available, and competitive context. The assessment is an editorial review, not a hands-on test unless one is explicitly identified. Our editorial assessment is based on 6 documented sources.
What TechZella adds
- A single OpenAI-compatible API supports serverless and dedicated inference, making it possible to move deployments without changing the API style.
- The product combines model inference with fine-tuning, GPU clusters, managed storage, and code sandboxes.
- Dedicated inference uses isolated single-tenant GPUs, while serverless inference is billed by usage.
Important limitations
- Together AI states that it does not currently offer free trials and requires a minimum $5 credit purchase for platform access.
- Serverless costs vary by model and by input, output, and cached tokens; other services use separate billing units.
- Zero Data Retention must be enabled in privacy settings and applies prospectively, not to data processed before activation.
Evidence-backed claimsTogether AI offers serverless inference through an API compatible with the OpenAI API. The product includes inference, fine-tuning, compute, sandbox, and storage offerings. Together AI does not currently offer free trials and requires a minimum $5 credit purchase for access. Users can enable Zero Data Retention through privacy settings. Together AI's G2 seller page reports 4.3 out of 5 from 99 reviews. Together AI was founded in 2022 and is headquartered in San Francisco.
The serverless inference product page shows an OpenAI client configured with Together AI's API key and base URL.
View source ↗Verified 2026-11-12The official product overview lists these as product areas.
View source ↗Verified 2026-11-12The support article explicitly states both the absence of free trials and the minimum initial credit purchase.
View source ↗Verified 2026-11-12The privacy policy says that enabling the setting prevents prompts and outputs from being retained or used for secondary purposes beyond service processing, and that it does not apply retroactively.
View source ↗Verified 2026-11-12The public seller page displays its average rating and review count.
View source ↗Verified 2026-11-12The company's LinkedIn profile lists 2022 as its founding year and San Francisco, California as its headquarters.
View source ↗Verified 2026-11-12Together AI FAQs
Answers begin with the clearest available response, followed by the context that helps you act on it.
Does Together AI offer a free trial?
No. Its support page says it does not currently offer free trials and requires a minimum $5 credit purchase for access.
Is Together AI's API compatible with OpenAI?
Together AI documents an OpenAI-compatible API and provides a sample using the OpenAI Python client with Together AI's base URL.
Can I move from serverless to dedicated inference without reworking my API calls?
Together AI says the deployment options share an OpenAI-compatible API; moving requires pointing the code to the dedicated endpoint.
Can Together AI keep prompts from being retained?
Its privacy policy describes an optional Zero Data Retention setting. It applies from activation onward, not to previously processed data.
How is Together AI billed?
Rates depend on service and model. The pricing page lists token rates for inference and separate pricing for dedicated GPUs, fine-tuning, sandboxes, and storage.
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