Llama 3.1 405B
Largest open-weight Llama for maximum capability.
Pricing
Specifications
Benchmark Scores
Strengths
- Open 405B weights
- Strong reasoning
Weaknesses
- High inference cost
- No multimodal
Historical Intelligence
Pricing, context, and benchmark trends over time
Pricing History
Input and output price per million tokens over time
Context Window Growth
Context window tokens over time
Coding Score Progress
Benchmark score over time (0–100)
Reasoning Score Progress
Benchmark score over time (0–100)
Llama 3.1 405B Evolution
Combined pricing trend and benchmark performance
Llama 3.1 405B vs related models
Capability radar vs semantically related catalog models
Intelligence Graph
Provider hub →Provider Overview
Meta develops the open-weight Llama model family, enabling self-hosting, fine-tuning, and cost-effective deployment at scale with competitive benchmark performance.
4 models tracked · Documentation
Related Models
Computed from benchmark, pricing, and capability similarity
Llama 3.3 70B
Open-weight 70B model competitive with larger closed models.
Why: same provider (Meta), similar coding performance
Confidence96%DeepSeek V3
Highly efficient MoE model rivaling frontier closed models.
Why: similar reasoning scores, similar pricing tier
Confidence89%DeepSeek V3 0324
Updated V3 with improved instruction following and 128K context.
Why: similar reasoning scores, comparable context window
Confidence88%Llama 4 Maverick
Open multimodal Llama with 1M context window.
Why: same provider (Meta), similar coding performance
Confidence88%Command R+
Cohere model optimized for RAG and enterprise search.
Why: similar coding performance, similar reasoning scores
Confidence88%Command R
Affordable Cohere model for retrieval-augmented workflows.
Why: comparable context window, similar pricing tier
Confidence86%
Recommended Comparisons
Side-by-side analysis with semantically similar models
Llama 3.1 405B vs Llama 3.3 70B
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (Meta), similar coding performance
Confidence96%Llama 3.1 405B vs DeepSeek V3
Side-by-side pricing, benchmarks, and capabilities
Why: similar reasoning scores, similar pricing tier
Confidence89%Llama 3.1 405B vs DeepSeek V3 0324
Side-by-side pricing, benchmarks, and capabilities
Why: similar reasoning scores, comparable context window
Confidence88%Llama 3.1 405B vs Llama 4 Maverick
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (Meta), similar coding performance
Confidence88%Llama 3.1 405B vs Command R+
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence88%Llama 3.1 405B vs Command R
Side-by-side pricing, benchmarks, and capabilities
Why: comparable context window, similar pricing tier
Confidence86%
Best Alternatives
Higher-scoring models with similar capability profiles
Claude 4 Opus
Anthropic flagship for the most demanding tasks.
Why: +22 overall benchmark score, comparable capability profile
Confidence63%GPT-5
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Why: +21 overall benchmark score, comparable capability profile
Confidence65%Claude Opus 4.1
Anthropic's latest Opus-class model for deep reasoning, coding, and long-form analysis.
Why: +21 overall benchmark score, comparable capability profile
Confidence61%Claude 4 Sonnet
Latest Sonnet with improved reasoning and tool use.
Why: +20 overall benchmark score, comparable capability profile
Confidence74%
Cheaper Alternatives
Lower-cost models with comparable attributes
Llama 3.3 70B
Open-weight 70B model competitive with larger closed models.
Why: Saves $0.42/M combined tokens vs Llama 3.1 405B
Confidence96%Llama 4 Maverick
Open multimodal Llama with 1M context window.
Why: Saves $0.25/M combined tokens vs Llama 3.1 405B
Confidence88%Command R
Affordable Cohere model for retrieval-augmented workflows.
Why: Saves $0.30/M combined tokens vs Llama 3.1 405B
Confidence86%Mistral Small
Compact Mistral for cost-sensitive applications.
Why: Saves $0.65/M combined tokens vs Llama 3.1 405B
Confidence86%
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Why: Estimate costs for Llama 3.1 405B
Token Counter
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Why: Token estimation for prompt workloads
Inference Latency Estimator
Project response times based on output tokens and throughput.
Why: slow latency tier estimation
Context Window Utilization
Calculate how much of a model's context window you're consuming.
Why: 128K context window analysis
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Timeline Highlights
Llama 3.1 405B — Model Release
Why: Direct model timeline event
Llama 3.1 405B — API Release
Why: Direct model timeline event
Llama 3.1 405B — Pricing Update
Why: Direct model timeline event
Llama 3.1 405B — Function Calling
Why: Direct model timeline event
Llama 3.1 405B — Fine-tuning Release
Why: Direct model timeline event
Latest Releases
Recent launches from related providers