AI · head to head
Together AI vs Traceloop

Traceloop
Logging
LLM reliability platform with open-source observability and evaluation
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Together AI free tier limits not clearly specified in pricing documentation; Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use
- They diverge on capability: Together AI covers Open-source models, Traceloop covers Open-source SDK (OpenLLMetry).
Where they differ
Only the attributes on which Together AI and Traceloop actually diverge.
| Attribute | Together AI | Traceloop |
|---|---|---|
| Pricing model | usage-based | Freemium with pay-as-you-go enterprise option |
| Platforms | Api, Cloud | Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby |
| Category | AI | Logging |
| Founded | 2022 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Api support
Only in Traceloop
- Open-source SDK (OpenLLMetry)
- Multi-provider support
- Observability platform integration
- Framework support
- Monitoring dashboard
- Evaluation system
- Deployment flexibility
What people use each for
The jobs each tool is most often brought in to do.
Together AI
- LLM inference for production AI applicationsnot Traceloop
- Content generation at scalenot Traceloop
- Code execution and embeddingsnot Traceloop
- Model fine-tuning and trainingnot Traceloop
- Startup and enterprise AI deploymentnot Traceloop
Traceloop
- Monitoring LLM application performance in productionnot Together AI
- Instrumenting LLM apps with minimal code overheadnot Together AI
- Continuous evaluation and quality scoring of LLM outputsnot Together AI
- Debugging LLM application issues with full trace visibilitynot Together AI
- Integrating observability data into existing monitoring stacksnot Together AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Together AI
- Free tier limits not clearly specified in pricing documentation
- Pricing varies significantly by model and use case
- Requires account setup for production access
- Batch API discounts apply only to non-urgent workloads
Traceloop
- Free tier limited to 50k spans per month and 24-hour retention, restricting production use
- Company acquisition by ServiceNow creates uncertainty about future roadmap
- Requires integration with separate observability platforms for visualization
- Less feature-rich than dedicated LLM evaluation platforms
Pricing, plan by plan
Together AI
Free- Serverless Inference$0.03/1M input tokens
- Chat and Vision models
- Image generation
- Video generation
- Provisioned Throughput$21600/month
- Up to 83% savings vs commercial alternatives
- Reserved capacity
- Guaranteed throughput
- Dedicated Inference$5.49/hour
- H100 GPU instance
- Single-tenant deployment
- No resource sharing
- GPU Clusters$3.99/GPU-hour
- On-demand capacity
- Volume discounts available
- Reserved options with up to 35% savings
Traceloop
Free- FreeFree
- 50,000 spans per month
- Up to 5 seats
- 24-hour data retention
- Enterprise$undefined/custom
- Unlimited spans per month
- Unlimited seats
- Custom data retention
Which should you pick?
Choose Together AI if
- You need open-source models.
- You want to start without paying.
- You work on Api, Cloud.
- You also want fine-tuning.
Choose Traceloop if
- You need open-source sdk (openllmetry).
- You want to start without paying.
- You work on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- You also want multi-provider support.
Questions people ask
- Is Together AI or Traceloop better?
- Neither clearly leads. Together AI starts at Free and Traceloop at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Together AI or Traceloop?
- Together AI starts at Free and Traceloop at Free.
- Does Together AI or Traceloop run on more platforms?
- Together AI runs on Api, Cloud. Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- Can I use Together AI for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Together AI best used for?
- Together AI is most often used for llm inference for production ai applications, content generation at scale, code execution and embeddings, model fine-tuning and training. Of those, llm inference for production ai applications and content generation at scale are not what Traceloop is typically brought in for.
- What can Together AI do that Traceloop cannot?
- Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings. Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support.
Answered from the vendors’ own pages
Together AI: Does Together AI offer a free tier?
Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.
SourceTraceloop: Is OpenLLMetry open-source?
Yes, OpenLLMetry is Traceloop's open-source SDK built on OpenTelemetry standards. It allows teams to instrument LLM applications with just 2 lines of code and send data to 25+ observability platforms.
SourceTogether AI: What are Together AI's highest model prices?
Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.
SourceTraceloop: What is the impact of ServiceNow acquisition?
Traceloop is joining ServiceNow, representing a strategic acquisition that will broaden enterprise adoption and integration capabilities. Current operations continue with free and enterprise options available.
SourceTogether AI: How much can I save with Provisioned Throughput?
Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.
SourceTraceloop: How many LLM providers and frameworks does Traceloop support?
Traceloop supports 20+ LLM providers including OpenAI and Anthropic, and integrates with frameworks like LangChain and LlamaIndex. It can send data to 25+ observability platforms.
SourceTogether AI: What is Together AI's fine-tuning pricing?
Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.
SourceRelated pages
More on Together AI
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- Traceloop vs Stable Diffusion
- Traceloop vs Arize AI
- Traceloop vs ChatGPT
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- Traceloop vs Ideogram
- Traceloop vs Jasper
- Traceloop vs LangGraph
- Traceloop vs Lindy
- Traceloop vs Elastic Stack
- Traceloop vs New Relic
- Traceloop vs Datadog Logs
- Traceloop vs Coralogix
- Traceloop vs Grafana Loki
- Traceloop vs incident.io
- Traceloop vs Cronitor
- Traceloop vs FireHydrant
- Traceloop vs Healthchecks
- Traceloop vs Openstatus
- Traceloop vs Rootly
- Traceloop vs Checkly
- Traceloop vs CloudWatch
- Traceloop vs Dynatrace
- Traceloop vs InfluxDB
- Traceloop vs Airbrake
- Traceloop vs AppDynamics
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