Gemini 1.5 Pro is 38% cheaper than Llama 3.1 405B (Together AI) on blended 3:1 token pricing. Llama 3.1 405B (Together AI) costs $3.50/1M in and $3.50/1M out, while Gemini 1.5 Pro costs $1.25/1M in and $5.00/1M out.
Llama 3.1 405B (Together AI) vs Gemini 1.5 Pro
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between Together AI (Meta) and Google.
| Metric / Feature | Llama 3.1 405B (Together AI) (Together AI (Meta)) | Gemini 1.5 Pro (Google) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $3.50 | $1.25 |
| Output Price ($ / 1M Tokens) | $3.50 | $5.00 |
| Prompt Caching Input Rate | Not Available | $0.312/1M |
| Blended 3:1 Rate (Production) | $3.500 / 1M | $2.188 / 1M |
| Max Context Window | 128k | 128k |
| Multimodal Vision | ❌ Text Only | ✅ Supported |
| MMLU Benchmark | 88.6% | 85.9% |
| Throughput & Latency | Standard (~30 t/s) | Standard (~35 t/s) |
| Best For | Synthetic data generation, model distillation, enterprise on-premise benchmarking | Massive codebase analysis, hours of video comprehension, full book translation |
When to Choose Llama 3.1 405B (Together AI)
Choose Llama 3.1 405B (Together AI) if your workload requires synthetic data generation, model distillation, enterprise on-premise benchmarking. Ideal for teams needing Together AI (Meta)'s infrastructure and ecosystem tooling.
When to Choose Gemini 1.5 Pro
Choose Gemini 1.5 Pro if your primary objective is massive codebase analysis, hours of video comprehension, full book translation. Ideal for scaling high-throughput pipelines with Google.
Want to compare Llama 3.1 405B (Together AI) against another model?
Select another target model to view immediate pricing & latency trade-offs.