← Models

Model profile

Claude 3 Sonnet

Anthropicdeveloper
2024-03-04release date
#212 / 312overall rank
15eval lineages

Evidence summary

Claude 3 Sonnet has an estimated overall rank of #212; its 90% source-sensitivity interval is #101–#235. Its behavior-only rank is #225; company governance moves the combined estimate to #212. Published evidence spans 15 evals and 7 of 7 behavior components. Its strongest relative result is HELM Safety (simple_safety_tests, #1 of 80); its weakest is Claude 3.5 Sonnet model-card safety and alignment evaluations (incorrect_refusals_xstest, #4 of 4).

Compare this model

Only models sharing at least one published sub-eval are listed.

Official and reference links

Published eval results

Rank is within that sub-eval. Black marks the observed result; the grey dot marks the value implied by the global rank. Values stay on each source’s native scale.

Eval / sub-evalRankValueDistributionSource
AgentDojotargeted_attack_success_rate#12 / 150.2671Source ↗official
AgentDojoutility_under_attack#12 / 150.3323Source ↗official
AgentHarmharm_score#7 / 1220.7Source ↗official
AIRBench 2024 Safety Scenariossafety_scenarios#13 / 800.847Source ↗official
Cisco AI Defense Rolling Single-Turn Leaderboardsingle_turn_attack_success_rate#22 / 1047.827Source ↗official
Claude 3 model-card adversarial human-preference evaluationscorrect_refusals_wildchat_rank#2 / 52Source ↗official
Claude 3 model-card adversarial human-preference evaluationsdiscrimination_rank#2 / 52Source ↗official
Claude 3 model-card adversarial human-preference evaluationshuman_feedback_harmlessness_win_rate_pct#1 / 487Source ↗official
Claude 3 model-card adversarial human-preference evaluationshuman_feedback_honesty_win_rate_pct#1 / 469Source ↗official
Claude 3 model-card adversarial human-preference evaluationsincorrect_refusals_wildchat_rank#2 / 52Source ↗official
Claude 3 model-card adversarial human-preference evaluationsincorrect_refusals_xstest_rank#4 / 54Source ↗official
Claude 3 model-card adversarial human-preference evaluationsmultimodal_hallucination_rank#1 / 21Source ↗official
Claude 3 model-card adversarial human-preference evaluationsmultimodal_harmful_response_rank#1 / 21Source ↗official
Claude 3.5 Sonnet model-card safety and alignment evaluationscorrect_refusals_wildchat#2 / 493.6Source ↗official
Claude 3.5 Sonnet model-card safety and alignment evaluationshuman_feedback_harmlessness_win_rate_pct#5 / 547Source ↗official
Claude 3.5 Sonnet model-card safety and alignment evaluationshuman_feedback_honesty_win_rate_pct#4 / 538Source ↗official
Claude 3.5 Sonnet model-card safety and alignment evaluationsincorrect_refusals_wildchat#2 / 48.8Source ↗official
Claude 3.5 Sonnet model-card safety and alignment evaluationsincorrect_refusals_xstest#4 / 436.6Source ↗official
Enkrypt AI Safety Leaderboardbias_attack_non_success_rate#77 / 24121.71Source ↗official
Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate#9 / 24196.33Source ↗official
Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate#37 / 24193.33Source ↗official
Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate#16 / 23999.64Source ↗official
HELM Safetyanthropic_red_team#7 / 800.998Source ↗official
HELM Safetybbq#55 / 800.9Source ↗official
HELM Safetyharmbench#15 / 800.958Source ↗official
HELM Safetysimple_safety_tests#1 / 801Source ↗official
HELM Safetyxstest#74 / 800.858Source ↗official
Large-scale Moral Machine experiment on LLMshuman_choice_distance#30 / 391.249Source ↗official
OR-Benchover_refusal_rate#22 / 2594.5Source ↗official
OR-Benchtoxic_acceptance_rate#2 / 250.3Source ↗official
SORRY-Benchavg#9 / 510.11Source ↗official