DeepSeek · Efficient
DeepSeek V4 Flash Vision Exp
An experimental vision-enabled DeepSeek V4 Flash model that adds image understanding while retaining the text, reasoning, coding, tool-calling, and agent capabilities of the base model.
- Reasoning
- Tools
- Vision
- Structured output
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- none · low · high · max
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.22
- Output
- $0.65
- Cache read
- $0.0069
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 384K
- Average output (7 days)
- 1.3K tokens
- Longer than 81% of 465 models
Side by side
DeepSeek V4 Flash Vision Exp compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| DeepSeek V4 Flash Vision ExpDeepSeekThis model | DeepSeek V4.1 Flash Uncensored ThinkingDeepSeekRemove | |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Discovery tier | Efficient | Open weights |
| Added | Aug 21, 2026 | Oct 1, 2026 |
| Limits | ||
| Context window | 1.05M | 1.05M |
| Max output | 384KBest | 65.54K |
| Average output | 1.3K tokens | 797 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.22Best | $0.33 |
| Output | $0.65Best | $1.32 |
| Cache read | $0.0069Best | $0.0083 |
| Performance | ||
| Throughput | 155.2 tok/s | 437.7 tok/sBest |
| Time to first token | 2.1 sBest | 4.8 s |
| Request success (24h) | 99.7%Best | 92.9% |
| Benchmark indexes | ||
| Intelligence Index | 34.3 | — |
| Coding Index | 69.1 | — |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | No |
| Structured output | Yes | No |
| Reasoning effort | none, low, high, max | none, low, medium, high |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- DeepSeek V4 Flash Vision Exp
- DeepSeek V4.1 Flash Uncensored Thinking
Intelligence Index
- DeepSeek V4 Flash Vision Exp34.3
- DeepSeek V4.1 Flash Uncensored Thinking—
DeepSeek V4 Flash Vision Exp tested at max reasoning effort
DeepSeek V4 Flash Vision Exp: Better than 78% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- DeepSeek V4 Flash Vision Exp: 69.1
- DeepSeek V4.1 Flash Uncensored Thinking: —
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- DeepSeek V4 Flash Vision Exp: 54.0%
- DeepSeek V4.1 Flash Uncensored Thinking: —
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- DeepSeek V4 Flash Vision Exp: 23.0%
- DeepSeek V4.1 Flash Uncensored Thinking: —
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- DeepSeek V4 Flash Vision Exp: 1,257 Elo
- DeepSeek V4.1 Flash Uncensored Thinking: —
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- DeepSeek V4 Flash Vision Exp: 1,433 Elo
- DeepSeek V4.1 Flash Uncensored Thinking: —
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- DeepSeek V4 Flash Vision Exp: 11.0%
- DeepSeek V4.1 Flash Uncensored Thinking: —
AA-LCRv1.1
Reasoning across long documents
- DeepSeek V4 Flash Vision Exp: 79.7%
- DeepSeek V4.1 Flash Uncensored Thinking: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- DeepSeek V4 Flash Vision Exp: 38.6%
- DeepSeek V4.1 Flash Uncensored Thinking: —
GPQA Diamond
Graduate-level science questions
- DeepSeek V4 Flash Vision Exp: 90.8%
- DeepSeek V4.1 Flash Uncensored Thinking: —
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- DeepSeek V4 Flash Vision Exp: 12.1%
- DeepSeek V4.1 Flash Uncensored Thinking: —
SciCode
Scientific computing in Python
- DeepSeek V4 Flash Vision Exp: 50.3%
- DeepSeek V4.1 Flash Uncensored Thinking: —
Legacy evaluations
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- DeepSeek V4 Flash Vision Exp: 79.7%
- DeepSeek V4.1 Flash Uncensored Thinking: —
Scores from Artificial Analysis, updated Oct 26, 2026. DeepSeek V4 Flash Vision Exp was tested at max reasoning effort; compare scores measured at the same effort.Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 155.2 tok/s
- Faster than 77% of 251 models
- Time to first token
- 2.1 s
- Quicker than 74% of 251 models
- Prompt cache hits
- 41.9%
- About $0.13 per 1M input tokens with caching
- Request success (24h)
- 99.7%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-v4-flash-vision-exp",
"reasoning_effort": "none",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="deepseek/deepseek-v4-flash-vision-exp",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)DeepSeek
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