GPT-4.1 nano vs Llama 3.3 70B
Compare OpenAI and Meta (via Together AI) AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-4.1 nano
Llama 3.3 70B
Cost Differences
Llama 3.3 70B costs more than GPT-4.1 nano
Feature Comparison
| Feature | GPT-4.1 nano | Llama 3.3 70B |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $0.10/1M tokens | $0.88/1M tokens |
| Output Price | $0.40/1M tokens | $0.88/1M tokens |
| Context Window | 128,000 tokens | 131,072 tokens |
| Max Output | 8,192 tokens | 4,096 tokens |
| Category | efficient | standard |
| Capabilities | text | textcode |
| Release Date | 4/14/2025 | 12/6/2024 |
GPT-4.1 nano vs Llama 3.3 70B: Which Should You Choose?
Choosing between GPT-4.1 nano and Llama 3.3 70B depends on your priorities: cost efficiency, context length, or raw capability. GPT-4.1 nano is the more affordable option at $0.10/1M input tokens — 89% cheaper than Llama 3.3 70B. Meanwhile, Llama 3.3 70B offers a significantly larger context window at 131,072 tokens vs 128,000 for GPT-4.1 nano.
These models come from different providers — OpenAI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: GPT-4.1 nano is a efficient model while Llama 3.3 70B is standard. This means they're optimized for different workloads. Llama 3.3 70B targets more demanding workloads, while GPT-4.1 nano provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-4.1 nano charges $0.40/1M 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. GPT-4.1 nano has the edge here at $0.40/1M output tokens.
Best Use Cases
Choose GPT-4.1 nano when:
- • Budget is a primary concern
- • You need longer outputs (up to 8,192 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Llama 3.3 70B when:
- • You need a larger context window (131,072 tokens)
- • You need more capabilities (code)
- • You're already using Meta (via Together AI)'s API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4.1 nano (OpenAI)
Llama 3.3 70B (Meta (via Together AI))
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