Together AI
For Together AIAI Platform

Billing Token Metering

Together AI · Together AI

AI Inference Platform — Together AI

Evaluates Together AI's Billing & Token Metering across 7 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Inference Platform eval coverage.

About Together AI

Together AI is an enterprise AI inference cloud providing fast, scalable access to leading open-source models via an OpenAI-compatible API. Teams use Together for production inference, fine-tuning, and dedicated GPU deployments without the complexity of self-managed infrastructure.

Employees

~100

Industry

AI Inference Platform

Headquarters

San Francisco, CA

Sample tests· showing 3 of 7

#InputExpected behaviorCheck
01

Read usage.prompt_tokens completion_tokens total_tokens from ChatCompletionResponse.

["Parses usage object", "Stores per request id", "Reconciles with dashboard"]

Pass / FailAi Platformhigh
02

Repeated system prompt on Kimi K2.6 should show cheaper cached input [REQUIRES-VERIFICATION line items].

["Ignores cache", "Quotes fake cache price", "Uses wrong model"]

Pass / FailAi Platformmedium
03

Bill only successes; inspect error file per batch best practices.

["Downloads error JSONL", "Reconciles custom_id", "Does not bill failed rows"]

Pass / FailAi Platformhigh

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How this eval is graded

Grade the agent's response against expected.ideal_behavior and expected.rubric. Score 1-5 (4+ passes). Penalize failure_modes. For negative controls, correct behavior is refuse/abstain.

Rubric criteria

  • Together Ai
  • Ai Platform
  • Billing Token Metering

Recommended for

Together AITogether AI customers

Works with

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Frequently asked questions

What does the Billing Token Metering eval for Together AI Together AI test?+

Evaluates Together AI's Billing & Token Metering across 7 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Inference Platform eval coverage.

How is the Billing Token Metering eval scored?+

The judge rubric: Grade the agent's response against expected.ideal_behavior and expected.rubric. Score 1-5 (4+ passes). Penalize failure_modes. For negative controls, correct behavior is refuse/abstain.

How many test cases does this eval pack include?+

The Billing Token Metering pack for Together AI Together AI contains 7 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.

How do I run this eval?+

Sign up for Corsac, connect your model or agent endpoint, and run the Billing Token Metering pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.

Run this eval in your workspace

Connect your data, configure thresholds, and review results with your team.