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AI costs.

From a single-line proxy swap to enterprise governance and distributed tracing — ModelSpend grows with your team.

Core routing

OpenAI-compatible proxy

Point your existing OpenAI or Anthropic SDK at api.modelspend.best/proxy/v1. Every existing SDK call — streaming, tools, vision, function calling — works identically. The model parameter becomes a routing hint.

  • Streaming SSE with OpenAI delta format
  • Function calling and tool use pass-through
  • Cost metadata in x-modelspend-* headers
  • Model-to-tier hint table (50+ model patterns)
# Environment variable only OPENAI_BASE_URL=https://api.modelspend.best/proxy/v1 OPENAI_API_KEY=msp_live_... # Then use OpenAI SDK normally from openai import OpenAI client = OpenAI() # reads env vars
New · v3.1

Evaluation framework

Before you switch routing configurations, prove quality is maintained. Upload a dataset of representative prompts, run them against multiple models simultaneously, and score outputs with LLM-as-judge scoring.

Scores are tracked over time so you can see quality trends as providers update their models.

  • CSV or API dataset upload (up to 1,000 items)
  • Run against up to 6 models in parallel
  • LLM-as-judge scoring (0.0–1.0) with reasoning
  • Exact match mode for deterministic tasks
  • Per-model quality × cost × latency comparison
  • Link eval runs to prompt versions
Sample eval result
gpt-4o-mini
91 $0.0003
claude-haiku
88 $0.0004
gemini-flash
83 $0.0002
llama-4-scout
79 $0.0001
New · v3.1
customer-support · v1.4.0
1.4.0 production Today
1.3.0 archived 3 days ago
1.2.1 archived 1 week ago
1.2.0-draft draft Now editing

Prompt registry

System prompts are code. Treat them like it. Semantic versioning, diff views, a staging workflow, and rollback — the same controls you have on your application code.

  • Semantic versioning (major.minor.patch)
  • draft → staging → production promotion
  • Line-level diff between any two versions
  • One-click rollback to any previous version
  • Link to eval runs for quality validation
  • Token count tracking per version
New · v3.1

OpenTelemetry traces

Every execute call emits a distributed trace with child spans for each stage of the pipeline. Export to your existing observability stack via OTLP. Debug exactly why a specific request was expensive, slow, or blocked.

  • Root span per request + child spans per stage
  • Attributes: cost, tokens, tier, provider, model
  • OTLP HTTP export to any collector
  • Native integrations: Jaeger, Tempo, Datadog, New Relic, Honeycomb
  • 30-day rolling retention in ModelSpend
  • In-dashboard trace viewer with waterfall
modelspend.execute 1247ms
modelspend.governance 3ms
modelspend.dlp.scan 8ms
modelspend.routing.decision 12ms
modelspend.budget.check 5ms
modelspend.bridge.execute 1219ms

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How ModelSpend compares

Purpose-built for AI spend control

Basic dashboards show you what you spent. ModelSpend tells you why, routes you to the right model, and enforces guardrails before the bill lands.

Capability Provider dashboard Generic gateway LLM observability ModelSpend
OpenAI-compatible routing gateway Not applicable Available Not primary focus Available
Cost-aware model routing Not applicable Partial Not primary focus Available
Workflow-level unit economics Partial Not primary focus Partial Available
Budget caps and approval controls Not applicable Not primary focus Not primary focus Available (Business+)
Provider health and fallback routing Not applicable Partial Not primary focus Available
Direct billing / import reconciliation Available Not primary focus Partial Available
Team and project chargeback Not applicable Not primary focus Partial Available (Enterprise)
Prompt caching and reuse savings Not applicable Partial Not primary focus Available
Security and audit trail Partial Partial Partial Available
OpenTelemetry export pipeline Not applicable Partial Available Available (Enterprise)
SIEM and DLP integration Not applicable Not primary focus Partial Available (Enterprise)
SSO/SAML, SCIM, private deployment Not applicable Not primary focus Not primary focus Available (Enterprise)

Planned features are being prioritised with Enterprise Design Partners and do not yet exist in the product. Available (Business+) and Available (Enterprise) are shipped but gated to the named plan or above — see Pricing. View full roadmap

Founding Beta: Limited Access
Help shape the future of AI spend control.
ends 29 August 2026
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