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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰Meta Llama 3.1 70B Instruct Turbo is 71% cheaper than Sao10K: Llama 3.1 70B Hanami x1
⚡Sao10K: Llama 3.1 70B Hanami x1 is 215ms faster than Meta Llama 3.1 70B Instruct Turbo
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Meta Llama 3.1 70B Instruct Turbo is 241% cheaper
| Spec | Sao10K: Llama 3.1 70B Hanami x1 | Meta Llama 3.1 70B Instruct Turbo |
|---|---|---|
| Provider | sao10k | meta-llama |
| Input price / 1M tokens | $3.00 | $0.88 |
| Output price / 1M tokens | $3.00 | $0.88 |
| Context window | 16k tokens | 131k tokens |
| Latency (p50) | — | 215ms |
| Best benchmark score | — | — |
| Open source | No | No |
This is [Sao10K](/sao10k)'s experiment over [Euryale v2.2](/sao10k/l3.1-euryale-70b).
This large language model excels at complex reasoning, multi-turn conversations, and long-form content generation with its 131K token context window, making it ideal for developers and enterprises needing cost-effective, high-performance instruction-following capabilities for production applications.
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