Legacy compatibility id mapping to DeepSeek V4 Flash thinking mode (per DeepSeek pricing notes).
Model details →DeepSeek Reasoner (legacy id) vs intfloat/multilingual-e5-base
DeepSeek Reasoner (legacy id) wins on 1 of 6 axes — pricing and capability skew in its favour for most workloads.
No description provided yet.
Model details →Side-by-side comparison
| Capability | DeepSeek Reasoner (legacy id) | intfloat/multilingual-e5-base | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1M | Unknown | 🏆 DeepSeek Reasoner (legacy id) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | Custom | Custom | — |
| Output price (per 1M) Cost per million output tokens billed by the provider. | Custom | Custom | — |
| 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 DeepSeek Reasoner (legacy id) better than intfloat/multilingual-e5-base?
DeepSeek Reasoner (legacy id) wins on 1 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek Reasoner (legacy id) and intfloat/multilingual-e5-base?
Input: Custom vs Custom per 1M tokens. Output: Custom vs Custom per 1M tokens.
What context windows do DeepSeek Reasoner (legacy id) and intfloat/multilingual-e5-base support?
DeepSeek Reasoner (legacy id) supports up to 1M tokens. intfloat/multilingual-e5-base supports up to Unknown tokens.
Do both DeepSeek Reasoner (legacy id) and intfloat/multilingual-e5-base support tool calling?
DeepSeek Reasoner (legacy id): not advertised. intfloat/multilingual-e5-base: not advertised.