Llama 4 Maverick vs o1
Compare Meta (via Together AI) and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Llama 4 Maverick
o1
Cost Differences
o1 costs more than Llama 4 Maverick
Feature Comparison
| Feature | Llama 4 Maverick | o1 |
|---|---|---|
| Provider | Meta (via Together AI) | OpenAI |
| Input Price | $0.27/1M tokens | $15.00/1M tokens |
| Output Price | $0.85/1M tokens | $60.00/1M tokens |
| Context Window | 1,000,000 tokens | 200,000 tokens |
| Max Output | 65,536 tokens | 65,536 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisioncode | textreasoning |
| Release Date | 4/5/2025 | 9/12/2024 |
Llama 4 Maverick vs o1: Which Should You Choose?
Choosing between Llama 4 Maverick and o1 depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Maverick is the more affordable option at $0.27/1M input tokens — 98% cheaper than o1. Meanwhile, Llama 4 Maverick offers a significantly larger context window at 1,000,000 tokens vs 200,000 for o1.
These models come from different providers — Meta (via Together AI) and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Meta (via Together AI), switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Llama 4 Maverick is a flagship model while o1 is reasoning. This means they're optimized for different workloads. Llama 4 Maverick is built for complex tasks that require deeper reasoning, while o1 offers better value for routine operations.
Output costs matter too. Llama 4 Maverick charges $0.85/1M output tokens vs $60.00 for o1. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Maverick has the edge here at $0.85/1M output tokens.
Multimodal capabilities: Llama 4 Maverick supports vision (image inputs) while o1 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Llama 4 Maverick when:
- • Budget is a primary concern
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (vision, code)
- • You're already using Meta (via Together AI)'s API ecosystem
Choose o1 when:
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Llama 4 Maverick (Meta (via Together AI))
o1 (OpenAI)
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