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Llama 3.1 405B Instruct

The largest publicly-released Llama; flagship open-weights frontier model.

Composite 65.7 Rank #21 of 30 Meta open-weights Open-weights (Llama 3.1 Community License) Released 2024-07
Try Llama 3.1 405B Instruct → Compare with Qwen2.5 72B Instruct → Or route via OpenRouter →

At a glance

ProviderMeta
Released2024-07
Tieropen-weights
LicenseOpen-weights (Llama 3.1 Community License)
Modalitiestext
Context window128k tokens
Max output4.096k tokens
API price · input$2.70 / 1M tokens
API price · output$2.70 / 1M tokens
Hugging Facemeta-llama/Llama-3.1-405B-Instruct

Benchmark performance

How Llama 3.1 405B Instruct stacks up against the current leader (GPT-5) and the median model in the leaderboard:

BenchmarkLlama 3.1 405B InstructGPT-5Median
Chatbot Arena Elo 1267 1410 1320
MMLU-Pro 73.3 86.8 78.0
GPQA Diamond 51.1 87.3 65.0
MATH 73.8 96.7 78.3
HumanEval 89.0 95.1 92.0
SWE-Bench Verified N/A 74.9 49.0

Numbers compiled from provider technical reports and Chatbot Arena. See methodology for the composite-score formula.

Don't lock in to one provider.

OpenRouter routes your requests across Llama 3.1 405B Instruct, GPT-5, Claude, Gemini, and 100+ other models behind a single API key — pay-as-you-go, no monthly minimum. Try OpenRouter → (affiliate · supports this site)

What does Llama 3.1 405B Instruct cost in practice?

API pricing is $2.70 per 1M input tokens and $2.70 per 1M output tokens. Assuming a 50/50 input/output split, here is what that looks like at three workload sizes:

VolumePer dayPer monthPer year
1M tokens/day$2.70$81.00$985.50
10M tokens/day$27.00$810.00$9,855
100M tokens/day$270.00$8,100$98,550

Strengths & weaknesses

Where it shines

No clear top-tier strengths — this is a mid-pack model.

Where it lags

  • MATH: 73.8 (rank #23 of 29, mid-pack)
  • Arena: 1267 (rank #21 of 27, mid-pack)
  • GPQA: 51.1 (rank #21 of 29, mid-pack)

Best alternatives

The closest models to Llama 3.1 405B Instruct by tier and benchmark score:

ModelScore$ in / outContextAction
Qwen2.5 72B Instruct
Alibaba
65.6 $0.35 / $0.40 131.072k Try → · vs Llama
Llama 3.3 70B Instruct
Meta
64.7 $0.23 / $0.40 128k Try → · vs Llama
DeepSeek V3
DeepSeek
68.0 $0.27 / $1.10 128k Try → · vs Llama
Qwen2.5-Coder 32B
Alibaba
68.8 $0.18 / $0.18 131.072k Try → · vs Llama
Phi-4
Microsoft
71.2 $0.07 / $0.14 16.384k Try → · vs Llama

Frequently asked questions

Is Llama 3.1 405B Instruct a good model?

Llama 3.1 405B Instruct scores 65.7 on the llmrank.top composite (rank #21 of 30). It trails the frontier — for top performance, look at GPT-5 (86.0). Whether it's the right fit depends on your workload — see the use-case discussion on this page.

How much does Llama 3.1 405B Instruct cost?

Llama 3.1 405B Instruct is priced at $2.70 per 1M input tokens and $2.70 per 1M output tokens (USD). For a 10M-token-per-day workload split 50/50, that works out to roughly $27.00/day or $9,855/year.

What is Llama 3.1 405B Instruct's context window?

128k tokens. For very long inputs, consider a 1M+ context model like Gemini 2.5 Pro or GPT-4.1.

Is Llama 3.1 405B Instruct open source?

Yes — released under the Llama 3.1 Community License license, weights are downloadable from the provider or Hugging Face.

What is Llama 3.1 405B Instruct's SWE-Bench score?

Llama 3.1 405B Instruct scores not reported on SWE-Bench Verified — the benchmark that measures real-world GitHub issue resolution. Its Chatbot Arena Elo is 1267.

What are the best alternatives to Llama 3.1 405B Instruct?

Closest alternatives by tier and score: Qwen2.5 72B Instruct, Llama 3.3 70B Instruct, DeepSeek V3. See the alternatives section on this page for side-by-side numbers.


Related: Qwen2.5 72B Instruct · Llama 3.3 70B Instruct · DeepSeek V3 · Full leaderboard

Spotted out-of-date numbers? Open an issue — corrections usually ship within 24h.

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