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Respan AI

Claimed

LLM Engineering Platform

From $199/mo (free plan available)
FreemiumAI & AutomationDeveloper ToolsAnalytics
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Tracked since2026

What is Respan AI?

Route LLM traffic through one gateway. Observe calls in traces, watch spend in metrics, and run evals.
how we evaluateSourcerespan.ai ↗

Preview

Key Features

  • AI gateway: Unified router or provider passthrough for 500+ models
  • AI observability: See requests, tokens, errors, latency, and cost in one place, broken down by model, user, and API key.
  • AI evals: Rule-based checks, LLM-as-judge rubrics, and sampled human review, on the trace that produced each output.

Pricing Plans

Pricing checked Oct 6, 2026

Respan AI plans and prices, checked October 2026
PlanPriceDetails
Free

$0

  • Full platform
  • 100k logs
  • 1k scores
+2 more
  • 2 evaluators
  • 5 prompts
Team

$199 / month

  • Everything in Free
  • Unlimited datasets
  • Unlimited evaluators
+3 more
  • Unlimited prompts
  • Private Slack channel
  • SOC 2 report
Enterprise

Contact us

  • Everything in Team
  • Custom packages
  • Volume discount
+3 more
  • Custom SLAs
  • Dedicated support engineer
  • HIPAA BAATalk to sales
Calculate your costView full pricing

Is Respan AI worth the price?

Good value

The Free tier is generous for small-scale experimentation with 100k logs and 5 prompts, but the Team tier at $199/month is fairly priced for unlimited evaluators and prompts, though it lacks log or score quotas which could be a hidden cost for heavy users.

The Enterprise tier's custom pricing is typical for compliance-heavy needs like HIPAA. Best for small teams or startups needing a full-featured platform without per-seat pricing.

Full Respan AI pricing: every plan, hidden costs and alternatives

How Respan AI's pricing compares

At $199/mo, billing unit not specified, Respan AI is the most premium of its 2 comparable direct competitors.

Weights & Biases
$60
Neptune.ai
$150
Respan AI
$199

Entry paid plan, monthly. Pricing checked Oct 6, 2026.

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Best Respan AI Alternatives

Top alternatives based on features, pricing, and user needs.

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MLflow logo
MLflowFree

Manage your ML lifecycle: track, register, and deploy models

4.3
Anyscale logo
AnyscalePaid

Platform for scaling Ray and Python AI applications

4.5
Replicate logo
ReplicatePaid

Run, fine-tune, and deploy open-source ML models via API

Neptune.ai logo
Neptune.aiFreemium

Experiment tracking for ML teams

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

All Respan AI alternatives6+ tools ranked, pricing + verdict per pickRespan AI vs Google Vertex AIHead-to-head: features, pricing, who winsRespan AI vs Weights & BiasesHead-to-head: features, pricing, who winsRespan AI vs MLflowHead-to-head: features, pricing, who wins

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Respan AI FAQ

How does Respan AI help a team running LLM-powered applications in production?

Respan AI routes all LLM traffic through a single gateway, which lets teams observe calls in traces and monitor spend in metrics. This unified view helps engineering teams debug issues and control costs without switching between multiple tools.

How does Respan AI compare to Weights & Biases for LLM observability?

Respan AI focuses specifically on routing, observing, and evaluating LLM traffic through one gateway, while Weights & Biases provides a broader experiment tracking and model registry platform. Respan AI is designed for teams that need a lightweight, dedicated gateway for LLM calls rather than a full MLOps suite.

Which teams benefit most from adopting Respan AI?

Engineering teams that build and maintain LLM-powered applications benefit most from Respan AI, especially those needing to centralize routing, track costs, and run evaluations across multiple models. It fits developer tool and analytics use cases where observability and spend control are priorities.

How is Respan AI priced?

Respan AI is free to use with no paid plan required, meaning teams can access its gateway, traces, metrics, and evals without any upfront cost. This makes it accessible for small teams and individual developers evaluating LLM workflows.

Can Respan AI run evaluations on LLM outputs directly through its platform?

Yes, Respan AI includes the ability to run evals on LLM calls, allowing teams to assess output quality and behavior within the same gateway. This eliminates the need to export data to a separate evaluation tool.

Does Respan AI integrate with existing analytics or monitoring workflows?

Respan AI provides metrics and traces that can be used to monitor spend and performance, fitting into developer tool and analytics workflows. The platform is designed as a standalone gateway, so teams can incorporate its data into their existing dashboards or alerting systems.

Why would a team choose Respan AI over using a cloud provider's native LLM service?

Respan AI offers a unified gateway that works across multiple LLM providers, giving teams a single point of control for routing, observability, and evals. This avoids vendor lock-in and simplifies managing calls from different models or endpoints.

Source: respan.ai

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