One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge
Model details →MythoMax 13B vs Microsoft: Phi 4
MythoMax 13B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion parameters, it was trained on a…
Model details →Side-by-side comparison
| Capability | MythoMax 13B | Microsoft: Phi 4 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 4K | 16K | 🏆 Microsoft: Phi 4 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.06 | $0.07 | 🏆 MythoMax 13B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.06 | $0.14 | 🏆 MythoMax 13B |
| 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 MythoMax 13B better than Microsoft: Phi 4?
MythoMax 13B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between MythoMax 13B and Microsoft: Phi 4?
Input: $0.06 vs $0.07 per 1M tokens. Output: $0.06 vs $0.14 per 1M tokens.
What context windows do MythoMax 13B and Microsoft: Phi 4 support?
MythoMax 13B supports up to 4K tokens. Microsoft: Phi 4 supports up to 16K tokens.
Do both MythoMax 13B and Microsoft: Phi 4 support tool calling?
MythoMax 13B: not advertised. Microsoft: Phi 4: not advertised.