DeepSeek
UnrankedEnough results for an index.DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 is a model from DeepSeek. It has 6 scored results in 6 categories. It has no index.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.85%
SpeedOutput tokens per second.65/sMedian 67/s
First tokenSeconds to the first output token.0.8 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.09Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.18Median $2.55
ContextMaximum tokens in one request.1.05MMedian 262K
EloLMArena rating and rank.1432±4 #93Median 1422
Details
From OpenRouter- API IDThe model ID on OpenRouter.
deepseek/deepseek-v4-flash- Max outputMaximum output tokens per request.
- 393K
- Knowledge cutoffLast date of training data.
- —
- ToolsTool calls on OpenRouter.
- Yes
- JSON outputOutput follows a given JSON schema.
- Yes
- Cache read / 1MUS dollars per 1M cached tokens.
- $0.018
- WeightsLink to the published weights.
- Hugging Face (opens in a new tab) ↗
- RetiresDate OpenRouter removes the model.
- —
Where to run
APIs that serve this model.ProviderTypeMaker, cloud, host or router.InputOutputContext
US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).
Capabilities
Index per category, out of 100.Results
6 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseLiveBenchNo licence statedmodels.devMITHistory
5 releases23 Oct 202612 Nov 2026
Questions
- How much does DeepSeek V4 Flash 0423 cost?
- $0.09 per 1M input tokens, $0.18 per 1M output tokens.
- How fast is DeepSeek V4 Flash 0423?
- 65 output tokens per second, 0.8 s to the first token.
- What is the context window of DeepSeek V4 Flash 0423?
- 1.05M tokens.
- Is DeepSeek V4 Flash 0423 open source?
- Yes. Its weights are published.
- When was DeepSeek V4 Flash 0423 released?
- April 2026.