DeepSeek
The open-weight family everyone else gets benchmarked against.
DeepSeek publishes the weights for nearly everything it ships, which is why its models became the price anchor for the whole market — a Flash model here costs a fraction of a frontier model and gets close on reasoning and code. The V4 line is a sparse mixture-of-experts design with a million-token context. This row is the model family; DeepSeek's own free chat app has its own entry in Chats.
At a glance — DeepSeek V4 Flash Vision Exp
- Cost
- $0.22 in · $0.66 out per 1M tokensBudget
- Memory
- 1M tokens — about 1,550 pages
- Reads
- Text · Images
- Can do
- Use tools (agents)
- Structured output
- Thinking mode
- Reliability
- 99.98% uptime, last 24h
- Released
- Aug 21, 2026
Advanced details
- API model ID
deepseek/deepseek-v4-flash-vision-exp- Max output
- 944K tokens
- Cached input
- $0.007 per 1M
- Tokenizer
- DeepSeek
Providers
The same model, hosted by different companies. OpenRouter picks one per request and falls back to the next if it fails.
| Provider | Input /1M | Output /1M | Cached /1M | Max output | Uptime 24h |
|---|---|---|---|---|---|
| DeepInfra · fp8 | $0.216 | $0.647 | $0.007 | 262K | 94.70% |
| Fireworks | $0.22 | $0.66 | $0.007 | 944K | 99.46% |
| GMICloud · fp8 | $0.44 | $1.32 | $0.014 | 944K | 99.98% |
| SiliconFlow · fp8 | $0.44 | $1.32 | $0.028 | 393K | 99.80% |
| Novita | $0.44 | $1.32 | $0.028 | 393K | 99.95% |
Supported parameters
- frequency_penalty
- include_reasoning
- logit_bias
- logprobs
- max_tokens
- min_p
- presence_penalty
- reasoning
- reasoning_effort
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Live from OpenRouter, refreshed hourly.
Key info
- Pricing
- Open source
- Category
- Models
- Best for
- Intermediate
- Made by
- DeepSeek
- Weights
- Open
- Good for
- Reasoning and code at a fraction of frontier prices