ERNIE-4.5-300B-A47B is a 300B parameter Mixture-of-Experts (MoE) language model developed by Baidu as part of the ERNIE 4.5 series. It activates 47B parameters per token and supports text generation in both English and Chinese. Optimized fo…
Model details →Baidu: ERNIE 4.5 300B A47B vs Mistral: Saba
Mistral: Saba wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional datasets, …
Model details →Side-by-side comparison
| Capability | Baidu: ERNIE 4.5 300B A47B | Mistral: Saba | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 123K | 33K | 🏆 Baidu: ERNIE 4.5 300B A47B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.28 | $0.20 | 🏆 Mistral: Saba |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.10 | $0.60 | 🏆 Mistral: Saba |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Mistral: Saba |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Baidu: ERNIE 4.5 300B A47B better than Mistral: Saba?
Mistral: Saba wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Baidu: ERNIE 4.5 300B A47B and Mistral: Saba?
Input: $0.28 vs $0.20 per 1M tokens. Output: $1.10 vs $0.60 per 1M tokens.
What context windows do Baidu: ERNIE 4.5 300B A47B and Mistral: Saba support?
Baidu: ERNIE 4.5 300B A47B supports up to 123K tokens. Mistral: Saba supports up to 33K tokens.
Do both Baidu: ERNIE 4.5 300B A47B and Mistral: Saba support tool calling?
Baidu: ERNIE 4.5 300B A47B: not advertised. Mistral: Saba: yes.