GPT-4 Turbo 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 Turbo
Llama 4 Maverick
Cost Differences
Llama 4 Maverick costs less than GPT-4 Turbo
Feature Comparison
| Feature | GPT-4 Turbo | Llama 4 Maverick |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $10.00/1M tokens | $0.27/1M tokens |
| Output Price | $30.00/1M tokens | $0.85/1M tokens |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Max Output | 4,096 tokens | 65,536 tokens |
| Category | flagship | flagship |
| Capabilities | textvisioncode | textvisioncode |
| Release Date | 4/9/2024 | 4/5/2025 |
GPT-4 Turbo vs Llama 4 Maverick: Which Should You Choose?
Choosing between GPT-4 Turbo and Llama 4 Maverick 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 — 97% cheaper than GPT-4 Turbo. Meanwhile, Llama 4 Maverick offers a significantly larger context window at 1,000,000 tokens vs 128,000 for GPT-4 Turbo.
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.
Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Llama 4 Maverick would save you roughly $7,291.50/month compared to GPT-4 Turbo. For startups and indie developers, that difference can be significant.
Output costs matter too. GPT-4 Turbo charges $30.00/1M output tokens vs $0.85 for Llama 4 Maverick. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Maverick has the edge here at $0.85/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose GPT-4 Turbo when:
- • You're already using OpenAI's API ecosystem
Choose Llama 4 Maverick when:
- • Budget is a primary concern
- • You need a larger context window (1,000,000 tokens)
- • 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 Turbo (OpenAI)
Llama 4 Maverick (Meta (via Together AI))
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