A 7.3B parameter model that outperforms Llama 2 13B on all benchmarks, with optimizations for speed and context length.
Model details →Mistral: Mistral 7B Instruct v0.1 vs ReMM SLERP 13B
Mistral: Mistral 7B Instruct v0.1 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
Model details →Side-by-side comparison
| Capability | Mistral: Mistral 7B Instruct v0.1 | ReMM SLERP 13B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 3K | 6K | 🏆 ReMM SLERP 13B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.11 | $0.45 | 🏆 Mistral: Mistral 7B Instruct v0.1 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.19 | $0.65 | 🏆 Mistral: Mistral 7B Instruct v0.1 |
| 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 Mistral: Mistral 7B Instruct v0.1 better than ReMM SLERP 13B?
Mistral: Mistral 7B Instruct v0.1 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mistral: Mistral 7B Instruct v0.1 and ReMM SLERP 13B?
Input: $0.11 vs $0.45 per 1M tokens. Output: $0.19 vs $0.65 per 1M tokens.
What context windows do Mistral: Mistral 7B Instruct v0.1 and ReMM SLERP 13B support?
Mistral: Mistral 7B Instruct v0.1 supports up to 3K tokens. ReMM SLERP 13B supports up to 6K tokens.
Do both Mistral: Mistral 7B Instruct v0.1 and ReMM SLERP 13B support tool calling?
Mistral: Mistral 7B Instruct v0.1: not advertised. ReMM SLERP 13B: not advertised.
Compare Mistral: Mistral 7B Instruct v0.1 with other models
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