TokenHunger
TokenHunger ranks AI models by cost per correct answer on user-defined test cases.
FreemiumResearch & Data
Visit website Free to browse · updated 2026-06-30
What is TokenHunger?
TokenHunger allows users to input their own test cases across various tasks and compare multiple models side by side. The system calculates rankings based on how much each successful response actually costs, ensuring that cheaper options are only favored when they deliver reliable results. The underlying engine is available as open-source software for local use, while the hosted version adds conveniences such as saved projects and integration options. This setup makes it practical to test models from different providers without committing to high expenses upfront. By focusing on cost per success rather than raw token pricing, the tool encourages selection of appropriately sized models for given workloads. Users can refine their case sets over time to maintain accurate and relevant benchmarks.
Key features
Cost-per-correct-answer model benchmarking
Open-source ranking engine on GitHub
Hosted service with managed provider keys
Custom test cases with automatic scoring
Integrations across 8+ model providers
Data connectors for SQL, MCP and HTTP
GitHub sign-in with saved analyses
What you can use TokenHunger for
Cost-per-Correct-Answer Benchmarking
Run custom cases across models, apply automatic scoring, and rank results by cost per correct answer to identify efficient options that meet quality needs.
Custom Test Evaluation
Paste test cases or connect data sources to evaluate performance on tasks such as support triage, math problems, or named entity recognition with consistent checks.
Local Open-Source Benchmarking
Download and run the GitHub engine locally for model catalog access, cost estimates, scoring, and cost-per-correct ranking without using the hosted service.
How to use TokenHunger
- 1Paste your cases or connect a data source
- 2Review free cost estimates for selected models
- 3Sign in with GitHub to access credits and run
- 4Execute the benchmark across chosen targets
- 5Inspect the cost-per-success leaderboard and save
TokenHunger pricing
Pricing model: Freemium. Plan details are indicative — check the site for current prices.
Free Credits
Free
- 5 free credits on GitHub sign-in
- Estimate cost free, no signup
- Pay only for hosted runs
Editor's verdict
Pros
- +Ranks models by real cost-per-success
- +Open-source engine available for local use
- +5 free credits on GitHub sign-in
Cons
- –Full runs require paid credits after free tier
- –Benchmark execution incurs provider API costs
Our take: TokenHunger is a solid research & data choice. It's valued for ranks models by real cost-per-success and open-source engine available for local use. The main trade-off is full runs require paid credits after free tier. A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
A benchmarking tool that ranks models by cost per correct answer using custom test cases and automatic scoring.
Summary
TokenHunger is a solid research & data choice. It's valued for ranks models by real cost-per-success and open-source engine available for local use. The main trade-off is full runs require paid credits after free tier. A good pick if you want capable AI without a high upfront cost.
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