InfiBench vs LiveBench
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Tagline
InfiBench
Stack Overflow-derived benchmark for evaluating code LLMs on real-world programming questions.LiveBench
Contamination-free LLM benchmark that refreshes its questions monthly to keep frontier models honest.Pricing
InfiBench
FreeΒ· Free and open source (CC BY-SA 4.0)LiveBench
FreeΒ· Free and open source; self-hosted evaluation runnerFree trial
InfiBench
YesLiveBench
YesPlatforms
InfiBench
linux
LiveBench
api
Open source
InfiBench
YesLiveBench
YesModel used
InfiBench
βLiveBench
Multi-modelBest for
InfiBench
Pick InfiBench if you need a code-LLM benchmark that reflects messy real-world developer questions rather than clean function-completion tasks.LiveBench
Pick LiveBench if you want a credible, contamination-resistant signal when comparing frontier LLMs or validating a fine-tune against a moving target.Not for
InfiBench
Skip it if you want a hosted eval-as-a-service or a benchmark covering agentic, multi-file, or repo-scale coding tasks.LiveBench
Skip it if you need a turnkey SaaS eval platform with hosted runs, custom datasets, and SLA support β this is a research benchmark, not a product.Editorial score
InfiBench
6.9 / 10LiveBench
8.2 / 10Use cases
InfiBench
code-llm-evalmodel-benchmarkingleaderboard-comparisonresearch
LiveBench
llm-benchmarkingmodel-selectionreasoning-evalcoding-evalmath-evalleaderboard-tracking
Pros
InfiBench
- 234 real Stack Overflow questions across 15 languages, not synthetic toy prompts
- Four complementary metrics handle free-form answers better than pass@k alone
- Public leaderboard with 100+ evaluated models for direct comparison
- Peer-reviewed at NeurIPS 2024 Datasets and Benchmarks Track
LiveBench
- Monthly question refresh meaningfully blunts training-set contamination
- Objective auto-scoring with ground truth, no LLM-judge bias
- Covers six diverse domains including reasoning, code and math
- Fully open source; reproduce scores or evaluate your own model
- Cited by frontier labs, so scores travel in industry discussions
Cons
InfiBench
- Linux-only harness with Hugging Face Transformers format requirement
- Static 234-question set risks contamination as it ages
- Research artifact, not a polished product β setup expects ML engineering comfort
LiveBench
- No hosted API; you must run the eval harness yourself
- Leaderboard UI is functional but spartan compared to commercial dashboards
- Monthly cadence still leaves a window where recent questions can leak
Editorial score: rule-based, 0β10, from AI-assisted profile inputs (see /methodology) β not a user rating; βββ means unscored. βNot listedβ means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.
Pick InfiBench if
- β 234 real Stack Overflow questions across 15 languages, not synthetic toy prompts
- β Four complementary metrics handle free-form answers better than pass@k alone
- β Public leaderboard with 100+ evaluated models for direct comparison
- β Peer-reviewed at NeurIPS 2024 Datasets and Benchmarks Track
Pick LiveBench if
- β Monthly question refresh meaningfully blunts training-set contamination
- β Objective auto-scoring with ground truth, no LLM-judge bias
- β Covers six diverse domains including reasoning, code and math
- β Fully open source; reproduce scores or evaluate your own model