Llama 3.1 405B (Together AI) is 20% cheaper than GPT-4o (Omni) on blended 3:1 token pricing. GPT-4o (Omni) costs $2.50/1M in and $10.00/1M out, while Llama 3.1 405B (Together AI) costs $3.50/1M in and $3.50/1M out.
GPT-4o (Omni) vs Llama 3.1 405B (Together AI)
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between OpenAI and Together AI (Meta).
| Metric / Feature | GPT-4o (Omni) (OpenAI) | Llama 3.1 405B (Together AI) (Together AI (Meta)) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $2.50 | $3.50 |
| Output Price ($ / 1M Tokens) | $10.00 | $3.50 |
| Prompt Caching Input Rate | $1.250/1M | Not Available |
| Blended 3:1 Rate (Production) | $4.375 / 1M | $3.500 / 1M |
| Max Context Window | 128k | 128k |
| Multimodal Vision | ✅ Supported | ❌ Text Only |
| MMLU Benchmark | 88.7% | 88.6% |
| Throughput & Latency | Fast (~45 t/s) | Standard (~30 t/s) |
| Best For | Complex enterprise workflows, high-precision coding, multi-modal analysis | Synthetic data generation, model distillation, enterprise on-premise benchmarking |
When to Choose GPT-4o (Omni)
Choose GPT-4o (Omni) if your workload requires complex enterprise workflows, high-precision coding, multi-modal analysis. Ideal for teams needing OpenAI's infrastructure and ecosystem tooling.
When to Choose Llama 3.1 405B (Together AI)
Choose Llama 3.1 405B (Together AI) if your primary objective is synthetic data generation, model distillation, enterprise on-premise benchmarking. Ideal for scaling high-throughput pipelines with Together AI (Meta).
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