# Llama 3.1 405B Benchmark Scores & Performance

> Llama 3.1 405B by Meta scores 28.21/100 overall, ranking #197 out of 954 AI models.

Canonical page: https://benchlm.ai/models/llama-3-1-405b

Last updated: October 17, 2026

## Model Details

| Property | Value |
|----------|-------|
| Creator | Meta |
| Source Type | Open Weight |
| Reasoning Type | Non-Reasoning |
| Context Window | 128K |
| Overall Score | 28.21/100 |
| Overall Rank | #197 of 954 |

## Family & Coverage

- Family: Llama 3.1 405B
- Variant: base
- Benchmarks covered: 11 of 639
- Coverage note: BenchLM currently has partial benchmark coverage for this model, so the overall score is conservative.

## Agentic Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [τ²-bench results](/benchmarks/tau2-bench) | 19% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/llama-3-1-instruct-405b) |

## Reasoning Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [AA-LCR](/benchmarks/lcr) | 25.3% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/llama-3-1-instruct-405b) |
| [CritPt](/benchmarks/critpt) | 0.0% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/llama-3-1-instruct-405b) |

## Knowledge Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [Artificial Analysis Intelligence Index](/benchmarks/artificialanalysis) | 7.3% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/llama-3-1-instruct-405b) |
| [AA-GPQA Diamond](/benchmarks/gpqa-diamond) | 51.5% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/llama-3-1-instruct-405b) |
| [AA-HLE](/benchmarks/aahle) | 4.0% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/llama-3-1-instruct-405b) |
| [AA-Omniscience Index](/benchmarks/aaomniscienceindex) | -17.1% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/llama-3-1-instruct-405b) |
| [AA-Omniscience Accuracy](/benchmarks/omniscienceaccuracy) | 23.2% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/llama-3-1-instruct-405b) |
| [AA-Omniscience Hallucination Rate](/benchmarks/omnisciencehallucinationrate) | 52.4% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/llama-3-1-instruct-405b) |

## Instruction Following Benchmarks

| Benchmark | Score | Source |
|-----------|-------|--------|
| [IFEval](/benchmarks/ifeval) | 88.6% | [Meta: Llama 3.1 model card](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/MODEL_CARD.md) |
| [AA-IFBench](/benchmarks/ifbench) | 39.0% | [Artificial Analysis model benchmarks](https://artificialanalysis.ai/models/llama-3-1-instruct-405b) |

## Other Meta Models

- [Muse Wonder Full](/models/muse-wonder-full) - Score: 74.27
- [Muse Wonder](/models/muse-wonder) - Score: 71.16
- [Muse Spark 1.1](/models/muse-spark-1-1) - Score: 66.02
- [Muse Spark 1.2](/models/muse-spark-1-2) - Score: 65.84
- [Muse Spark Open](/models/muse-spark-open) - Score: 62.66
- [Muse Spark](/models/muse-spark) - Score: 60.47
- [Muse Glimmer 30B](/models/muse-glimmer-30b) - Score: 41.19
- [Llama 4 Scout](/models/llama-4-scout) - Score: 28.2
- [Llama 4 Maverick](/models/llama-4-maverick) - Score: 21.61
- [Llama 3 70B](/models/llama-3-70b) - Score: 21.32
- [Muse Spark 1.3](/models/muse-spark-1-3) - Score: not computed
- [Llama 3.3 70B](/models/llama-3-3-70b) - Score: not computed
- [Llama 3.1 70B](/models/llama-3-1-70b) - Score: not computed
- [Llama 3.1 8B](/models/llama-3-1-8b) - Score: not computed
- [Llama 4 Behemoth](/models/llama-4-behemoth) - Score: not computed
- [Muse Voice Transcribe](/models/muse-voice-transcribe) - Score: not computed