Llama 3.1 405B hosted by IONOS in Berlin, Germany. Zero data retention.
Added Sep 10, 2026
Context Window
131.1K
Max Output
8.2K
Input Price (Auto)
$2.03/1M
Output Price (Auto)
$2.03/1M
Cache Read (Auto)
$1.01/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
7.3
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
19.0%
Better than 17% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
25.3%
Better than 29% of models compared
Reasoning
HLE
Humanity's Last Exam
4.0%
Better than 13% of models compared
IFBench
Instruction-following benchmark
39.0%
Better than 36% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
6.8%
Better than 37% of models compared
LiveCodeBench
Contamination-free coding benchmark
30.5%
Better than 36% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
3.0%
Better than 4% of models compared
AIME
American Invitational Mathematics Examination
21.3%
Better than 48% of models compared
Math-500
Diverse mathematical problem solving benchmark
70.3%
Better than 30% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
73.2%
Better than 43% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
51.5%
Better than 25% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
25.3%
Better than 29% of models compared
Last updated Sep 11, 2026
Artificial AnalysisProviders
Choose explicit providers for this model. Auto routing remains available as the default option.
Loading provider options…
Related text models
Compare Llama 3.1 405B with similar models from the same provider or model family.
Llama 3.3 70b Instruct
meta-llama/llama-3.3-70b-instructLlama 3.3 is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.
Llama 3.1 8b Instruct
meta-llama/llama-3.1-8b-instructFast and efficient for simple purposes.
Llama 3.2 3b Instruct
meta-llama/llama-3.2-3b-instructSmall model optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization
Llama 4 Maverick
meta-llama/llama-4-maverickLlama 4 Maverick, a 17 billion active parameter model with 128 experts, is the best multimodal model in its class, beating GPT-4o and Gemini 2.0 Flash across a broad range of widely reported benchmarks, while achieving comparable results to the new DeepSeek v3 on reasoning and coding—at less than half the active parameters. Llama 4 Maverick offers a best-in-class performance to cost ratio with an experimental chat version scoring ELO of 1417 on LMArena.
Llama 4 Scout
meta-llama/llama-4-scoutLlama 4 Scout, a 17 billion active parameter model with 16 experts, is the best multimodal model in the world in its class and is more powerful than all previous generation Llama models, while fitting in a single H100 GPU. Additionally, Llama 4 Scout offers an industry-leading context window of 10M and delivers better results than Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1 across a broad range of widely reported benchmarks.
Llama 3 70B abliterated
failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5An abliterated (removed restrictions and censorship) version of Llama 3.1 70b.