DeepSeek V4 Flash Vision Exp
deepseek/v4-flash-vision-exp出品方： DeepSeek · 系列: deepseek-flash · 發布 2026-08-21 · 知識截止: 2025-05
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清單
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding100
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)20/20
- Provider availability10/10
Agents100
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output99
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency70
- Headline price (log-scaled)65/95
- Has prompt-cache pricing5/5
Long context90
- Context window (100K → 2M)80/90
- Has published price for full window10/10
Vision100
- Accepts image input50/50
- Context window (10K → 1M)30/30
- Has published price10/10
- Provider availability10/10
Production-readiness96
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $1.05 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $2.10 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.60 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $1.80 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $2.16 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定價詳情
推薦定價來自 deepseek · deepseek-v4-flash-vision-exp
最便宜的渠道： crof · $0.080 輸入 + $0.200 輸出
於 17 家供應商可用
| 服務商 | 服務商模型 ID | 輸入 / 1M | 輸出 / 1M | 上下文 | 發布日期 |
|---|---|---|---|---|---|
| DeepSeek deepseek | deepseek-v4-flash-vision-exp | $0.150 | $0.600 | 1M | 2026-09-10 |
| OpenRouter openrouter | deepseek/deepseek-v4-flash-vision-exp | $0.216 | $0.647 | 1.05M | 2026-08-21 |
| Vercel AI Gateway vercel | deepseek/deepseek-v4-flash-vision-exp | $0.216 | $0.647 | 1.05M | 2026-08-21 |
| Deep Infra deepinfra | deepseek-ai/DeepSeek-V4-Flash-Vision-Exp | $0.440 | $1.32 | 1.05M | 2026-08-21 |
| Hugging Face huggingface | deepseek-ai/DeepSeek-V4-Flash-Vision-Exp | $0.440 | $1.32 | 1.05M | 2026-08-21 |
| NanoGPT nano-gpt | deepseek/deepseek-v4-flash-vision-exp | $0.440 | $1.32 | 1.05M | 2026-08-21 |
| CrofAI crof | deepseek-v4-flash-vision-exp | $0.080 | $0.200 | 1M | 2026-08-21 |
| SiliconFlow siliconflow | deepseek-ai/DeepSeek-V4-Flash-Vision-Exp | $0.440 | $1.32 | 1M | 2026-08-21 |
| Kilo Gateway kilo | deepseek/deepseek-v4-flash-vision-exp | $0.440 | $1.32 | 1.05M | 2026-08-21 |
| OrcaRouter orcarouter | deepseek/deepseek-v4-flash-vision-exp | $0.147 | $0.295 | 1M | 2026-08-21 |
| Ofox ofox | deepseek/deepseek-v4-flash-vision-exp | $0.440 | $1.32 | 1M | 2026-08-21 |
| AIHubMix aihubmix | deepseek-v4-flash-vision-exp | $0.155 | $0.620 | 1M | 2026-08-21 |
| OpenCode Go opencode-go | deepseek-v4-flash-vision-exp | $0.150 | $0.600 | 1M | 2026-08-21 |
| Eden AI edenai | deepseek/deepseek-v4-flash-vision-exp | $0.150 | $0.600 | 1M | 2026-08-21 |
| OpenCode Zen opencode | deepseek-v4-flash-vision-exp | $0.140 | $0.280 | 1M | 2026-08-21 |
| CrossModel crossmodel | deepseek/deepseek-v4-flash-vision-exp | $0.300 | $1.20 | 1M | 2026-08-21 |
| AMD amd | DeepSeek-V4-Flash-Vision-Exp | $0.140 | $0.280 | 1M | 2026-08-21 |
各渠道資料存在不一致
- context_window varies: 1000000, 1048576
- release_date varies (span 20d): 2026-08-21, 2026-09-10
各服務商對此模型的回報值不一致。上方「核心數據」採用代表性服務商的值；逐項請以下表為準。
Frequently asked questions
How much does DeepSeek V4 Flash Vision Exp cost?
DeepSeek V4 Flash Vision Exp costs $0.150 per 1M input tokens and $0.600 per 1M output tokens, sourced from deepseek. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of DeepSeek V4 Flash Vision Exp?
DeepSeek V4 Flash Vision Exp has a context window of 1M tokens, with a max output of 393K tokens per reply. This is the total combined size of prompt + completion.
Does DeepSeek V4 Flash Vision Exp support tool calling?
Yes. DeepSeek V4 Flash Vision Exp supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does DeepSeek V4 Flash Vision Exp support structured output / JSON mode?
Yes. DeepSeek V4 Flash Vision Exp supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can DeepSeek V4 Flash Vision Exp accept image input?
Yes. DeepSeek V4 Flash Vision Exp accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check DeepSeek's docs for the exact rule.
Is DeepSeek V4 Flash Vision Exp open-weight?
Yes. DeepSeek V4 Flash Vision Exp's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to DeepSeek V4 Flash Vision Exp?
If DeepSeek V4 Flash Vision Exp doesn't fit, consider DeepSeek V4 Pro, DeepSeek V4 Flash, DeepSeek V4.1 Flash. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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Capability lists this model is in
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.