Llama 3.3 70B
Open-weight 70B model competitive with larger closed models.
Pricing
Specifications
Benchmark Scores
Strengths
- Open weights
- Low hosting cost
- Strong coding
Weaknesses
- No native vision
- Self-hosting required
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 3.3 70B Evolution
Combined pricing trend and benchmark performance
Llama 3.3 70B 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 3.1 405B
Largest open-weight Llama for maximum capability.
Why: same provider (Meta), similar coding performance
Confidence96%DeepSeek V3
Highly efficient MoE model rivaling frontier closed models.
Why: similar pricing tier
Confidence91%Llama 4 Maverick
Open multimodal Llama with 1M context window.
Why: same provider (Meta), similar coding performance
Confidence90%DeepSeek V3 0324
Updated V3 with improved instruction following and 128K context.
Why: comparable context window, similar pricing tier
Confidence90%Mistral Small
Compact Mistral for cost-sensitive applications.
Why: similar pricing tier
Confidence89%Command R+
Cohere model optimized for RAG and enterprise search.
Why: similar coding performance, similar reasoning scores
Confidence89%
Recommended Comparisons
Side-by-side analysis with semantically similar models
Llama 3.3 70B vs Llama 3.1 405B
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (Meta), similar coding performance
Confidence96%Llama 3.3 70B vs DeepSeek V3
Side-by-side pricing, benchmarks, and capabilities
Why: similar pricing tier
Confidence91%Llama 3.3 70B vs Llama 4 Maverick
Side-by-side pricing, benchmarks, and capabilities
Why: same provider (Meta), similar coding performance
Confidence90%Llama 3.3 70B vs DeepSeek V3 0324
Side-by-side pricing, benchmarks, and capabilities
Why: comparable context window, similar pricing tier
Confidence90%Llama 3.3 70B vs Mistral Small
Side-by-side pricing, benchmarks, and capabilities
Why: similar pricing tier
Confidence89%Llama 3.3 70B vs Command R+
Side-by-side pricing, benchmarks, and capabilities
Why: similar coding performance, similar reasoning scores
Confidence89%
Best Alternatives
Higher-scoring models with similar capability profiles
Claude 4 Opus
Anthropic flagship for the most demanding tasks.
Why: +23 overall benchmark score, comparable capability profile
Confidence61%GPT-5
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Why: +22 overall benchmark score, comparable capability profile
Confidence67%Claude Opus 4.1
Anthropic's latest Opus-class model for deep reasoning, coding, and long-form analysis.
Why: +22 overall benchmark score, comparable capability profile
Confidence59%Claude 4 Sonnet
Latest Sonnet with improved reasoning and tool use.
Why: +21 overall benchmark score, comparable capability profile
Confidence76%
Cheaper Alternatives
Lower-cost models with comparable attributes
Mistral Small
Compact Mistral for cost-sensitive applications.
Why: Saves $0.23/M combined tokens vs Llama 3.3 70B
Confidence89%Ministral 8B
Tiny on-device capable Mistral for edge deployments.
Why: Saves $0.43/M combined tokens vs Llama 3.3 70B
Confidence87%DeepSeek Coder V2
Code-specialized DeepSeek for programming tasks.
Why: Saves $0.21/M combined tokens vs Llama 3.3 70B
Confidence87%Gemini 2.0 Flash Lite
Ultra-cheap Gemini for simple tasks at scale.
Why: Saves $0.26/M combined tokens vs Llama 3.3 70B
Confidence80%
Related Calculators
AI Cost Calculator
Estimate daily, monthly, and yearly API costs with provider and model selection.
Why: Estimate costs for Llama 3.3 70B
Token Counter
Convert between words and estimated token counts.
Why: Token estimation for prompt workloads
Inference Latency Estimator
Project response times based on output tokens and throughput.
Why: standard 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 3.3 70B — Model Release
Why: Direct model timeline event
Llama 3.3 70B — API Release
Why: Direct model timeline event
Llama 3.3 70B — Pricing Update
Why: Direct model timeline event
Llama 3.3 70B — Function Calling
Why: Direct model timeline event
Llama 3.3 70B — Fine-tuning Release
Why: Direct model timeline event
Latest Releases
Recent launches from related providers