GPT-4.1 nano vs Llama 4 Maverick
Compare OpenAI and Meta (via Together AI) AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-4.1 nano
Llama 4 Maverick
Cost Differences
Llama 4 Maverick costs more than GPT-4.1 nano
Feature Comparison
| Feature | GPT-4.1 nano | Llama 4 Maverick |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $0.10/1M tokens | $0.27/1M tokens |
| Output Price | $0.40/1M tokens | $0.85/1M tokens |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Max Output | 8,192 tokens | 65,536 tokens |
| Category | efficient | flagship |
| Capabilities | text | textvisioncode |
| Release Date | 4/14/2025 | 4/5/2025 |
GPT-4.1 nano vs Llama 4 Maverick: Which Should You Choose?
Choosing between GPT-4.1 nano and Llama 4 Maverick 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 — 63% cheaper than Llama 4 Maverick. Meanwhile, Llama 4 Maverick offers a significantly larger context window at 1,000,000 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 4 Maverick is flagship. This means they're optimized for different workloads. Llama 4 Maverick 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 $0.85 for Llama 4 Maverick. 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.
Multimodal capabilities: Llama 4 Maverick supports vision (image inputs) while GPT-4.1 nano is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose GPT-4.1 nano when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Llama 4 Maverick when:
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (vision, code)
- • You need longer outputs (up to 65,536 tokens)
- • 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 4 Maverick (Meta (via Together AI))
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