CLAUDE.md · price reverts to £5
| Feature | Claude (Anthropic) | Llama 3 (Meta) |
|---|---|---|
| Model type | Commercial closed API | Open-source (weights free) |
| Access model | API only (Anthropic) | Download weights; or API via Groq/Together/Fireworks |
| Self-hosting | ✗ No | ✓ Yes — any GPU infra |
| Fine-tuning | ✗ No | ✓ Yes — full fine-tuning on weights |
| Data privacy | API sends data to Anthropic | Fully private if self-hosted |
| Context window | 200,000 tokens | 128,000 tokens (Llama 3.1+) |
| Best model quality | Claude Opus 4.7 (frontier) | Llama 3 405B (near-frontier) |
| Coding ability | Top-tier | Good (70B), Strong (405B) |
| Instruction following | Excellent (Constitutional AI) | Good, less consistent |
| API cost (mid-tier model) | $3.00/M input (Sonnet 4.6) | ~$0.09/M (Llama 3 70B via Groq) |
| Prompt caching | ✓ Yes (Anthropic API) | ~ Provider-dependent |
| Tool use / function calling | ✓ Native | ✓ Yes (Llama 3.1+) |
| Extended thinking | ✓ Yes (Opus/Sonnet) | ✗ No |
| SaaS compliance (BAA, HIPAA) | ✓ Enterprise plan | ✓ Full control (self-hosted) |
| Community/ecosystem | Anthropic docs, Discord | Huge open-source community, Hugging Face |
| Model | Provider | Input (per 1M tok) | Output (per 1M tok) |
|---|---|---|---|
| Claude Haiku 4.5 | Anthropic | $0.80 | $4.00 |
| Claude Sonnet 4.6 | Anthropic | $3.00 | $15.00 |
| Claude Opus 4.7 | Anthropic | $15.00 | $75.00 |
| Llama 3 8B | Groq | $0.05 | $0.08 |
| Llama 3 70B | Groq / Together | $0.09–$0.90 | $0.09–$0.90 |
| Llama 3 405B | Together AI | $3.50 | $3.50 |
| Llama 3 (self-hosted) | Your GPU | Infrastructure cost only | — |
Model your Claude workload at Claude API Cost Calculator. Full token pricing at Prompt Token Pricing.
These are fundamentally different bets. Claude is the right choice when output quality is the priority and you want to avoid infrastructure complexity — it delivers frontier reasoning, long-context analysis, and agentic coding with a simple API call. Llama 3 is the right choice when data control, cost at scale, or fine-tuning are non-negotiable — particularly for regulated industries where sending data to a third-party API isn't acceptable, or for high-volume production where Llama 3 70B at $0.09/M tokens is 30× cheaper than Claude Sonnet. The smartest teams often use Claude for complex tasks (reasoning, code review, customer-facing quality) and Llama 3 for high-volume simple tasks (classification, extraction, summarization) — splitting the workload by quality requirement and cost sensitivity.
Is Claude better than Llama 3?
On raw quality benchmarks: yes. Claude Opus 4.7 and Sonnet 4.6 outperform Llama 3 70B and even Llama 3 405B on complex reasoning, long-context tasks, and coding quality. However, Llama 3 is fully open-source, freely downloadable, fine-tunable, and can be run on private infrastructure. "Better" depends entirely on your priorities: Claude wins on quality and simplicity; Llama wins on cost, control, and customizability.
Is Llama 3 free to use?
The Llama 3 model weights are free to download from Meta. Running them is not free — you need GPU infrastructure (typically A100 or H100 GPUs). On cloud GPUs that costs $0.50–$5/hour depending on GPU tier. Via third-party inference APIs (Groq, Together AI, Fireworks), Llama 3 70B costs roughly $0.09–$0.90 per million tokens — significantly cheaper than Claude for comparable capability tiers.
What is the difference between Claude and Llama?
Claude is a closed commercial API from Anthropic — you access it by paying per token; Anthropic runs all the infrastructure. Llama is open-source from Meta — weights are freely available and you can run it on any hardware, fine-tune it on your data, or access it via third-party inference APIs. Claude is simpler but locked to Anthropic's servers. Llama requires infrastructure work but gives you complete control over the model and your data.
Can Llama 3 replace Claude for production?
For many production tasks: yes. Llama 3 70B handles summarization, classification, Q&A, and basic coding well. Where it falls short vs Claude: complex multi-step reasoning, long-context tasks beyond 128K tokens, edge-case instruction-following, and quality consistency under adversarial prompts. Fine-tuning Llama on your domain data can close part of this quality gap while keeping the cost and privacy benefits.
Which is better for data privacy: Claude or Llama?
Llama wins for privacy. Self-hosted Llama means your prompts and data never leave your infrastructure. Claude's API sends data to Anthropic's servers — subject to their data retention and privacy policies. For HIPAA, SOC 2, or other compliance scenarios where third-party data processing is restricted, self-hosted Llama is often the only viable path. Anthropic does offer enterprise agreements with data handling guarantees, but self-hosted Llama provides the strongest possible privacy guarantee.