Compare Microsoft: Phi 4 (OpenRouter) and Sao10K: Llama 3 8B Lunaris (OpenRouter) by price, context, capabilities, and latency.
Lado a lado
Compare preço, fornecedor, contexto, capacidades, latência e base da fonte.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft: Phi 4microsoft/phi-4 | OpenRouter | $0.013 / 1M tokens | $0.027 / 1M tokens | 16.4k | StreamingJSON mode | General chat via OpenRouter, API workloads | 1000-3000ms | Catalog | Platform curated |
| Sao10K: Llama 3 8B Lunarissao10k/l3-lunaris-8b | OpenRouter | $0.0087 / 1M tokens | $0.01 / 1M tokens | 8.2k | StreamingJSON mode | General chat via OpenRouter, API workloads | 1000-3000ms | Catalog | Platform curated |
FAQ
Sao10K: Llama 3 8B Lunaris is cheaper ($0.0087 / 1M tokens input / $0.01 / 1M tokens output) vs Microsoft: Phi 4 ($0.013 / 1M tokens input / $0.027 / 1M tokens output). Actual cost depends on your input/output token mix — estimate it with the pricing calculator.
Microsoft: Phi 4 is larger (16.4k tokens) vs 8.2k tokens.
Both target High quality. Pick Sao10K: Llama 3 8B Lunaris to optimize cost, or Microsoft: Phi 4 for the longer context window. Test both on real prompts before committing production traffic.