DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
Model details →DeepSeek: DeepSeek V4 Flash 0423 vs ggml-org/models-moved
DeepSeek: DeepSeek V4 Flash 0423 wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
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Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V4 Flash 0423 | ggml-org/models-moved | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | Unknown | 🏆 DeepSeek: DeepSeek V4 Flash 0423 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.09 | Custom | 🏆 DeepSeek: DeepSeek V4 Flash 0423 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.18 | Custom | 🏆 DeepSeek: DeepSeek V4 Flash 0423 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 DeepSeek: DeepSeek V4 Flash 0423 |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | — | 🏆 DeepSeek: DeepSeek V4 Flash 0423 |
Frequently asked questions
Is DeepSeek: DeepSeek V4 Flash 0423 better than ggml-org/models-moved?
DeepSeek: DeepSeek V4 Flash 0423 wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: DeepSeek V4 Flash 0423 and ggml-org/models-moved?
Input: $0.09 vs Custom per 1M tokens. Output: $0.18 vs Custom per 1M tokens.
What context windows do DeepSeek: DeepSeek V4 Flash 0423 and ggml-org/models-moved support?
DeepSeek: DeepSeek V4 Flash 0423 supports up to 1.0M tokens. ggml-org/models-moved supports up to Unknown tokens.
Do both DeepSeek: DeepSeek V4 Flash 0423 and ggml-org/models-moved support tool calling?
DeepSeek: DeepSeek V4 Flash 0423: yes. ggml-org/models-moved: not advertised.
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