Grok 3 vs Llama 3.3 70B
Grok 3 vs Llama 3.3 70B: Llama 3.3 70B is cheaper for input-heavy usage ($0.88/M vs $3.00/M input tokens), while Grok 3 is better for long-context tasks (131,072 tokens).
Direct answer: choose Llama 3.3 70B for lower token spend and choose Grok 3 when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Grok 3
Llama 3.3 70B
Cost Differences
Llama 3.3 70B costs less than Grok 3
Quick Recommendation
Winner for direct API pricing: Llama 3.3 70B. At the default workload, Llama 3.3 70B saves about $27.54/month ($335.07/year) versus Grok 3.
Feature Comparison
| Feature | Grok 3 | Llama 3.3 70B |
|---|---|---|
| Provider | xAI | Meta (via Together AI) |
| Input Price | $3.00/1M tokens | $0.88/1M tokens |
| Output Price | $15.00/1M tokens | $0.88/1M tokens |
| Context Window | 131,072 tokens | 131,072 tokens |
| Max Output | 131,072 tokens | 4,096 tokens |
| Category | flagship | standard |
| Capabilities | textvisionreasoningcode | textcode |
| Release Date | 2/17/2025 | 12/6/2024 |
Grok 3 vs Llama 3.3 70B: Which Should You Choose?
Choosing between Grok 3 and Llama 3.3 70B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.3 70B is the more affordable option at $0.88/1M input tokens — 71% cheaper than Grok 3.
These models come from different providers — xAI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with xAI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Grok 3 is a flagship model while Llama 3.3 70B is standard. This means they're optimized for different workloads. Grok 3 is built for complex tasks that require deeper reasoning, while Llama 3.3 70B offers better value for routine operations.
Output costs matter too. Grok 3 charges $15.00/1M output tokens vs $0.88 for Llama 3.3 70B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.3 70B has the edge here at $0.88/1M output tokens.
Multimodal capabilities: Grok 3 supports vision (image inputs) while Llama 3.3 70B is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Grok 3 when:
- • You need more capabilities (vision, reasoning)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using xAI's API ecosystem
Choose Llama 3.3 70B when:
- • Budget is a primary concern
- • You're already using Meta (via Together AI)'s API ecosystem
Pros and Caveats at a Glance
Grok 3
- • Input pricing: $3.00/M tokens
- • Output pricing: $15.00/M tokens
- • Context window: 131,072 tokens
- • Max output: 131,072 tokens
Watch out for
- • Higher input cost than Llama 3.3 70B
- • Higher output cost than Llama 3.3 70B
Llama 3.3 70B
- • Input pricing: $0.88/M tokens
- • Output pricing: $0.88/M tokens
- • Context window: 131,072 tokens
- • Max output: 4,096 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Grok 3 (xAI)
Llama 3.3 70B (Meta (via Together AI))
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, Grok 3 or Llama 3.3 70B?▼
What is the context window difference between Grok 3 and Llama 3.3 70B?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare xAI and Meta (via Together AI) API pricing beyond this model matchup?▼
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