benchmarkheaven.com valid
Benchmark Heaven
The most detailed cost–capability analysis in AI. Every model. Every Benchmark. Actual Costs. Benchmark results for large language models, each with its source and date, and a modeled cost per task that accounts for provider prices, caching and the model's own token use. Home of JevBench, the benchmark for AI decision models, including Jev-compatible systems.
- Authority
- 50 reach 5 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://benchmarkheaven.com/llms.txt
- llms-full.txt
- https://benchmarkheaven.com/llms-full.txt
- Sections
- 5
- Links
- 52
- Size
- 7658 bytes
- Popularity rank
- #868121
- Country
- Finland
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-19T10:45:13.099Z
- Last checked
- 2026-10-21T19:02:03.580Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T19:02:00.626Z. Cached copy · Source on benchmarkheaven.com
# Benchmark Heaven
> The most detailed cost–capability analysis in AI. Every model. Every Benchmark. Actual Costs. Benchmark results for large language models, each with its source and date, and a modeled cost per task that accounts for provider prices, caching and the model's own token use. Home of JevBench, the benchmark for AI decision models, including Jev-compatible systems.
## Pages
- [Home](https://benchmarkheaven.com/): recommended models by capability and cost
- [Benchmarks](https://benchmarkheaven.com/benchmarks): every benchmark board with sources
- [Compare models](https://benchmarkheaven.com/compare): side-by-side benchmark results and costs
- [Providers](https://benchmarkheaven.com/providers): per-provider prices, caching and speed
- [Sources and methodology](https://benchmarkheaven.com/about): where the data comes from and how cost is modeled
## JevBench (AI decision models, including Jev-compatible systems)
- [JevBench leaderboard](https://benchmarkheaven.com/jev-models): open-weights Jev-compatible decision models by intelligence, calibration, speed and cost, with two unranked Jev reference rows: the Jev version that defines the Jev-class caps, and TypeSafe's current Jev version (ranked on the API board)
- [JevBench API leaderboard](https://benchmarkheaven.com/jev-models/api): hosted decision APIs (Jev, wity, Sage, Fastino and more) ranked on the same scores
- [ImageJevBench leaderboard](https://benchmarkheaven.com/image-jev-bench): image decision systems by intelligence, calibration, speed and cost, inside the same cost and latency budget as JevBench
- [AudioJevBench](https://benchmarkheaven.com/audio-jev-bench): audio models that make typed voice-agent decisions (intent, sentiment, urgency, speaker verification, sound events) straight from audio
- [Jev alternatives](https://benchmarkheaven.com/jev-models/alternatives)
- [Jev-Alternativen im Vergleich (Deutsch)](https://benchmarkheaven.com/de/jev-models/alternativen)
- [Is Jev open source? Open-source Jev-class models](https://benchmarkheaven.com/jev-models/open-source-jev)
- [How to choose a Jev-class model](https://benchmarkheaven.com/jev-models/how-to-choose)
- [Jev vs Imajev-4B](https://benchmarkheaven.com/jev-models/jev-vs-imajev)
- [Jev vs Plumb-4B](https://benchmarkheaven.com/jev-models/jev-vs-plumb)
- [Jev vs decider-4b v2](https://benchmarkheaven.com/jev-models/jev-vs-decider-4b-v2)
- [Jev vs JevK5](https://benchmarkheaven.com/jev-models/jev-vs-jevk5)
- [Jev vs Cygnet](https://benchmarkheaven.com/jev-models/jev-vs-cygnet)
- [Jev vs Hopper](https://benchmarkheaven.com/jev-models/jev-vs-hopper)
- [Jev vs Winnow-12B Q8](https://benchmarkheaven.com/jev-models/jev-vs-winnow-12b-q8)
- [Jev vs reflex 4B](https://benchmarkheaven.com/jev-models/jev-vs-reflex-4b)
- [Jev vs Laya](https://benchmarkheaven.com/jev-models/jev-vs-laya)
- [Jev vs Xor 26B-A4B](https://benchmarkheaven.com/jev-models/jev-vs-xor-26b-a4b)
- [Jev vs Surogate Rune 26B-A4B v3](https://benchmarkheaven.com/je
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