This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tu…
Model details →Magnum v4 72B vs Sao10K: Llama 3.1 70B Hanami x1
Magnum v4 72B and Sao10K: Llama 3.1 70B Hanami x1 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
This is [Sao10K](/sao10k)'s experiment over [Euryale v2.2](/sao10k/l3.1-euryale-70b).
Model details →Side-by-side comparison
| Capability | Magnum v4 72B | Sao10K: Llama 3.1 70B Hanami x1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 16K | 16K | 🏆 Magnum v4 72B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $3.00 | $3.00 | Tie |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $5.00 | $3.00 | 🏆 Sao10K: Llama 3.1 70B Hanami x1 |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Magnum v4 72B better than Sao10K: Llama 3.1 70B Hanami x1?
Magnum v4 72B and Sao10K: Llama 3.1 70B Hanami x1 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between Magnum v4 72B and Sao10K: Llama 3.1 70B Hanami x1?
Input: $3.00 vs $3.00 per 1M tokens. Output: $5.00 vs $3.00 per 1M tokens.
What context windows do Magnum v4 72B and Sao10K: Llama 3.1 70B Hanami x1 support?
Magnum v4 72B supports up to 16K tokens. Sao10K: Llama 3.1 70B Hanami x1 supports up to 16K tokens.
Do both Magnum v4 72B and Sao10K: Llama 3.1 70B Hanami x1 support tool calling?
Magnum v4 72B: not advertised. Sao10K: Llama 3.1 70B Hanami x1: not advertised.