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