DeepSeek V4.1 Flash Economy
Same V4.1 Flash weights at 20% lower cost
DeepSeek V4.1 Flash on a lower-cost serving tier: the same weights and answers, image input, a 1M-token context window, thinking mode, and tool calling, for 20% less per token with slightly slower generation.
Live playground
Try DeepSeek V4.1 Flash Economy in your browser
Run the model, inspect its schema, then move the same request into production with one imageat API key.
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DeepSeek V4.1 Flash Economy at a glance
DeepSeek V4.1 Flash on a lower-cost serving tier: the same weights and answers, image input, a 1M-token context window, thinking mode, and tool calling, for 20% less per token with slightly slower generation.
- Developer
- DeepSeek
- Released
- September 2026
- Model
- DeepSeek V4.1 Flash, same weights and quality
- Serving tier
- Economy: 20% lower price, slightly slower generation
- Context window
- 1,000,000 tokens
- Input / output
- Text and up to 10 images in, text out
- Reasoning
- Thinking mode with low, medium, or high effort, or off
- Tool calling
- Native function calls, parallel calls
- Weights
- Open, MIT license
- imageat model ID
- deepseek/v4-1-flash-economy
DeepSeek V4.1 Flash Economy API pricing
API-key requests are billed on the tokens each request actually uses, rounded up to the cent. Reasoning tokens count as output, so thinking mode costs more than direct answers. In the playground, website credits are reserved and settle to the measured cost; most short answers use 1 credit.
Input
$0.48 / 1M tokens
Output (incl. reasoning)
$1.92 / 1M tokens
Need faster answers? Use the standard tier, DeepSeek V4.1 Flash.
See all API pricesV4 Flash vs V4.1 Flash
Economy serves the same V4.1 Flash weights, so it scores the same. DeepSeek's published results against V4 Flash:
| Benchmark | Metric | V4 Flash | V4.1 Flash |
|---|---|---|---|
| GPQA Diamond | Pass@1 | 89.9 | 90.9 |
| Codeforces | Rating | 3289 | 3471 |
| MathArena Apex | Pass@1 | 58.6 | 65.6 |
| Terminal-Bench 2.1 | Pass@1 | 82.7 | 90.6 |
| DeepSWE v1.1 | Resolved | 54.4 | 74.2 |
| NL2Repo-Bench | Score | 54.2 | 64.0 |
| CyberGym | Pass@1 | 76.7 | 88.1 |
| HLE with tools | Pass@1 | 51.5 | 63.9 |
| AutomationBench | Pass@1 | 37.7 | 54.8 |
| Agent's Last Exam | Pass@1 | 25.2 | 31.8 |
Source: DeepSeek V4.1 Flash model card on Hugging Face. Scores are DeepSeek's own and were not reproduced by imageat.
Call the DeepSeek V4.1 Flash Economy API
One OpenAI-compatible endpoint and your imageat API key. Point any OpenAI SDK, opencode, Cline, or the Vercel AI SDK at https://api.imageat.com/v1; the /v1 is required.
messagesSystem, user, assistant, and tool messages, OpenAI format.enable_thinkingfalse skips reasoning for the fastest, cheapest answer.reasoninglow, medium (default), or high thinking effort.max_tokensCaps the reply when thinking is off (up to 4,000).tools & tool_choiceOpenAI function definitions; replies with tool_calls.parallel_tool_callsAllow several tool calls in one turn (default true).streamOpenAI-style server-sent events.user & session_idOptional identifiers for your end users and sessions.
curl https://api.imageat.com/v1/chat/completions \
-H "Authorization: Bearer iat_live_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/v4-1-flash-economy",
"messages": [
{"role": "system", "content": "You are a senior software engineer."},
{"role": "user", "content": "Find the bug in this function and fix it."}
],
"reasoning": "high"
}'from openai import OpenAI
client = OpenAI(base_url="https://api.imageat.com/v1", api_key="iat_live_YOUR_KEY")
response = client.chat.completions.create(
model="deepseek/v4-1-flash-economy",
messages=[{"role": "user", "content": "Summarize this contract in five bullet points."}],
extra_body={"enable_thinking": False}, # fastest answer; max_tokens applies
max_tokens=800,
)
print(response.choices[0].message.content)DeepSeek V4.1 Flash Economy questions
How much does DeepSeek V4.1 Flash Economy cost on imageat?
+
API-key requests are billed at 2× DeepSeek's measured token cost, rounded up to the cent per request. During DeepSeek's peak hours (Mon–Fri 09:00–12:00 and 14:00–18:00 Beijing time) that is $0.48 per 1M input tokens and $1.92 per 1M output tokens; the rest of the time it is half. Reasoning tokens count as output.
Is Economy a smaller or weaker model?
+
No. It runs the same DeepSeek V4.1 Flash weights and gives the same answers; only generation is slightly slower, which is why it costs 20% less.
When should I use Economy instead of V4.1 Flash?
+
Batch extraction, summarization, background agents, and scheduled jobs, where a few extra seconds don't matter. For interactive chat and coding agents, the standard deepseek/v4-1-flash answers faster.
Can it read images?
+
Yes. Send OpenAI-format image_url content parts (JPEG, PNG, or WebP, up to 10 per request) next to your text.
Is it OpenAI-compatible?
+
Yes. Send model "deepseek/v4-1-flash-economy" to https://api.imageat.com/v1/chat/completions with your imageat API key, with the base URL set to https://api.imageat.com/v1. Streaming and tool calls are supported.
Reason with context
Use the model for analysis, planning, and multi-step knowledge work.
Build and code
Apply it to software development, structured output, and agent workflows.
Generate text
Create clear answers, summaries, drafts, and conversational experiences.
What DeepSeek V4.1 Flash Economy is built for
DeepSeek V4.1 Flash on a lower-cost serving tier: the same weights and answers, image input, a 1M-token context window, thinking mode, and tool calling, for 20% less per token with slightly slower generation.
- Batch extraction and summarization where speed matters less
- Background agents and scheduled jobs
- Image and document understanding at the lowest price
- Identical answers to V4.1 Flash
Call DeepSeek V4.1 Flash Economy from your app
Use the OpenAI-compatible chat endpoint with your imageat API key and pay-as-you-go balance.