Model profile
Mixtral 8X7B Instruct
Evidence summary
Mixtral 8X7B Instruct has an estimated overall rank of #306; its 90% source-sensitivity interval is #240–#309. Its behavior-only rank is #299; company governance moves the combined estimate to #306. Published evidence spans 11 evals and 6 of 7 behavior components. Its strongest relative result is SALAD-Bench (mcq_information_safety_harms, #6 of 33); its weakest is HELM Safety (harmbench, #77 of 80).
Compare this model
Only models sharing at least one published sub-eval are listed.
Official and reference links
- Artificial Analysis ↗mixtral-8x7b-instruct
- Hugging Face ↗mistralai/Mixtral-8x7B-Instruct-v0.1
- NVIDIA ↗qc69jvmznzxy/mixtral-8x7b-instruct
- OpenRouter ↗mistralai/mixtral-8x7b-instruct
- Official model page ↗Exact model document · Reviewed official Hugging Face owner · official repository
- Release source ↗repository created at proxy
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-eval | Rank | Value | Distribution | Source |
|---|---|---|---|---|
| AIRBench 2024 Safety Scenariossafety_scenarios | #74 / 80 | ↑0.391 | Source ↗official | |
| CASE-Benchagreement_accuracy | #4 / 7 | ↑83.11 | Source ↗official | |
| COMPL-AI AI-Identity Disclosurescore | #9 / 14 | ↑0.8904 | Source ↗official | |
| COMPL-AI LLM RuLES Multi-Turn Rule Followingscore | #13 / 14 | ↑0.2561 | Source ↗official | |
| COMPL-AI TensorTrust Goal-Hijacking Resistancescore | #12 / 13 | ↑0.375 | Source ↗official | |
| Contextual MoralChoicehuman_agreement | #6 / 22 | ↑0.45 | Source ↗official | |
| Enkrypt AI Safety Leaderboardbias_attack_non_success_rate | #193 / 241 | ↑11.37 | Source ↗official | |
| Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate | #147 / 241 | ↑86.67 | Source ↗official | |
| Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate | #210 / 241 | ↑38.33 | Source ↗official | |
| Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate | #150 / 239 | ↑95.18 | Source ↗official | |
| HarmBenchdr | #25 / 28 | ↓47.3 | Source ↗official | |
| HELM Safetyanthropic_red_team | #75 / 80 | ↑0.928 | Source ↗official | |
| HELM Safetybbq | #63 / 80 | ↑0.857 | Source ↗official | |
| HELM Safetyharmbench | #77 / 80 | ↑0.451 | Source ↗official | |
| HELM Safetysimple_safety_tests | #75 / 80 | ↑0.905 | Source ↗official | |
| HELM Safetyxstest | #61 / 80 | ↑0.931 | Source ↗official | |
| SALAD-Benchattack_enhanced_human_autonomy_integrity | #19 / 33 | ↑11.85 | Source ↗official | |
| SALAD-Benchattack_enhanced_information_safety_harms | #25 / 33 | ↑5.21 | Source ↗official | |
| SALAD-Benchattack_enhanced_malicious_use | #25 / 33 | ↑7.67 | Source ↗official | |
| SALAD-Benchattack_enhanced_misinformation_harms | #18 / 33 | ↑9.54 | Source ↗official | |
| SALAD-Benchattack_enhanced_representation_toxicity | #19 / 33 | ↑10.35 | Source ↗official | |
| SALAD-Benchattack_enhanced_socioeconomic_harms | #21 / 33 | ↑9.52 | Source ↗official | |
| SALAD-Benchbase_human_autonomy_integrity | #28 / 33 | ↑76 | Source ↗official | |
| SALAD-Benchbase_information_safety_harms | #27 / 33 | ↑86.8 | Source ↗official | |
| SALAD-Benchbase_malicious_use | #28 / 33 | ↑67.65 | Source ↗official | |
| SALAD-Benchbase_misinformation_harms | #28 / 33 | ↑84.39 | Source ↗official | |
| SALAD-Benchbase_representation_toxicity | #25 / 33 | ↑82.05 | Source ↗official | |
| SALAD-Benchbase_socioeconomic_harms | #27 / 33 | ↑80.85 | Source ↗official | |
| SALAD-Benchmcq_human_autonomy_integrity | #9 / 33 | ↑51.39 | Source ↗official | |
| SALAD-Benchmcq_information_safety_harms | #6 / 33 | ↑51.94 | Source ↗official | |
| SALAD-Benchmcq_malicious_use | #9 / 33 | ↑53.27 | Source ↗official | |
| SALAD-Benchmcq_misinformation_harms | #9 / 33 | ↑52.86 | Source ↗official | |
| SALAD-Benchmcq_representation_toxicity | #9 / 33 | ↑52.08 | Source ↗official | |
| SALAD-Benchmcq_socioeconomic_harms | #8 / 33 | ↑48.89 | Source ↗official | |
| SORRY-Benchavg | #43 / 51 | ↓0.56 | Source ↗official |
Values evaluations
Descriptive values and political-framing results are separate from safety/ethics ranks. Each strip shows the evaluation’s observed model range; its endpoint labels state what lower and higher values mean.