DeepSeek’s officially released new multimodal visual-understanding model, DeepSeek‑V4‑Flash‑Vision‑Exp, is experimental in nature and supports multimodal inputs. In pure-text capabilities (agents, reasoning, world knowledge, etc.), DeepSeek‑V4‑Flash‑Vision‑Exp is on par with the official DeepSeek‑V4‑Flash release.(The model name deepseek-v4-flash-vision-exp remains callable, but the official corresponding model has been taken offline; requests will be served by the DeepSeek-V4.1-Flash model and billed at Flash pricing.)
Pricing
Input Modalities
- Text
- Vision
Output Modalities
- Text
Context length
- 1M tokens
Max output
- 384K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Structured outputs
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
DeepSeek deep-deepseek-v4-flash-vision-exp
Off-peak04:00–06:00, 10:00–01:00 UTC
Pricing$0.155$0.62
Cache Read$0.0031/M tokens
Peak01:00–04:00, 06:00–10:00 UTC
Pricing$0.3098$1.2392
Cache Read$0.0062/M tokens
Context1M
Max output384K
Latency8.4S
Throughput91.3TPS
Uptime
100.00% uptime 3 days ago
100.00% uptime 2 days ago
100.00% uptime yesterday
Performance for deepseek-v4-flash-vision-exp
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Throughput
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Python