ActiveInstruction Following
FireBench
Evaluates instruction following for enterprise/API pipelines — exact output format, strict step ordering, ranking, and calibrated refusal across six categories.
Top Benchmarks & Trusted AI Evaluation Directory
Comprehensive directory of 63+ LLM benchmarks with honest status labels, contamination risk assessments, and vendor vs independent score provenance as of September 2026.
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Displaying 6 of 6 benchmarks (filtered from 63)
Nearing SaturationInstruction Following
ComplexBench
Bilingual benchmark of how models follow instructions when several constraints must hold at once — where stacking constraints is not linear.
Nearing SaturationInstruction Following
AgentIF
707 instructions from 50 real-world agents, averaging 1,723 words and 11.9 constraints — whether instruction following survives deployment-scale prompts.
Nearing SaturationInstruction Following
MT-Bench
80 curated multi-turn questions across 8 skills, each a two-turn conversation scored by a strong LLM judge on a 1–10 scale.
Nearing SaturationInstruction Following
StructFlowBench
155 multi-turn dialogues scored on fine-grained constraints plus six inter-turn dialogue relationships (recall, refinement, expansion, follow-up, summary).
DeprecatedInstruction Following
IFEval
~500 prompts, each carrying an explicit, machine-checkable constraint (format, content, or style) that a response must respect.