DeepSeek language model
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is DeepSeek's open-weight mixture-of-experts model that reads text and images with a 1M-token context. It replaced V4 Flash behind DeepSeek's own deepseek-flash route and costs less than V4 Flash here.
01
Price
Input tokens
Output tokens
Per 1M tokens. Octomind bills the listed provider price, with no markup, on every plan, including the free one (pay as you go from credits).
- The listed price is DeepSeek's peak rate. DeepSeek's own API charges half outside 01:00-04:00 and 06:00-10:00 UTC on weekdays; other serving providers bill the peak rate.
- Cache hits bill $0.006 per 1M on some serving providers and $0.03 per 1M on others.
02
What real work costs
| Workload | Cost |
|---|---|
| One chat reply 3,000 tokens in, 500 out | $0.0015 |
| Summarise a 100-page report 50,000 tokens in, 1,500 out, one request | $0.02 |
| 1,000 classification calls 500 tokens in, 20 out, per call | $0.17 |
| Coding-agent session 2M tokens in across ~60 turns, 60,000 out, no cache | $0.67 |
At the listed rate. Token counts are typical sizes, not measurements.
03
Specs
- Provider
- DeepSeek
- Context window
- 1M tokens — ≈ 1,500 pages of prose or 100,000 lines of code
- Max output
- 384k tokens
- Input
- Text, Images
- Output
- Text
- Structured output
- Yes — JSON schema
- Reasoning mode
- Yes
- Weights
- Open — MIT
- Released
- September 2026
- Status
- Live
- Model ID
deepseek-v4.1-flash
Integration notes
- Thinking is on by default at high effort; disable it with thinking.type set to disabled.
- In thinking mode, temperature, presence_penalty and frequency_penalty are silently ignored; top_p below 0.95 is treated as 0.95.
- With tools, reasoning_content from every previous turn must be passed back, or the API returns a 400 error.
04
Benchmarks
As published by the maker; not measured by Octomind.
05
When to pick it
Pick it if
- you want the cheapest DeepSeek model here, and the only one with image input
- you need long replies: DeepSeek's API allows up to 384K output tokens
- you want MIT-licensed weights you can self-host
Skip it if
- you need video or audio input; it takes text and images only
06
Where it sits on price
Blended price $0.525/M at 3 input tokens per output token: 12 live language models cost less, 31 cost more.
- Mercury 2.5 $0.338/M
- GPT-OSS 120B $0.45/M
- DeepSeek V4.1 Flash $0.525/M
- MiniMax M3 $0.525/M
- MiMo V2.6 Pro $0.544/M
07
Use DeepSeek V4.1 Flash in Octomind
One OctoHub login reaches every model in the catalog. Pick this one per run, per session, or as your default.
octomind login
octomind run -m octohub:deepseek-v4.1-flash/model octohub:deepseek-v4.1-flash[model]
name = "octohub:deepseek-v4.1-flash"08
Compare DeepSeek V4.1 Flash
09
Similar models
Nearest live models by listed input price.
- Gemini 3.5 Flash Lite $0.3/M input
- MiniMax M3 $0.3/M input
- GPT-OSS 120B $0.35/M input
- Gemma 4 31B $0.2/M input
10
DeepSeek V4.1 Flash FAQ
How much does DeepSeek V4.1 Flash cost?
DeepSeek V4.1 Flash lists at $0.3/M input, $1.2/M output per 1M tokens. A typical coding-agent session (2M tokens in, 60,000 out) comes to $0.67. Octomind bills the listed provider price, with no markup, on every plan, including the free one (pay as you go from credits).
What is the context window of DeepSeek V4.1 Flash?
1M tokens, ≈ 1,500 pages of prose or 100,000 lines of code. A single reply can run to 384k tokens.
Does DeepSeek V4.1 Flash accept images?
Yes. It takes text and images as input and returns text.
Is DeepSeek V4.1 Flash open source?
Its weights are open under MIT, so it can also be self-hosted.
When was DeepSeek V4.1 Flash released?
September 2026, by DeepSeek.
Is DeepSeek V4.1 Flash free?
No. DeepSeek V4.1 Flash bills per token at $0.3/M input, $1.2/M output per 1M. Octomind's free plan reaches it pay as you go from credits, so you pay only for the tokens you use, at the provider price. Credits carry a 3% top-up fee.
How do I use DeepSeek V4.1 Flash in Octomind?
Run octomind login once, then octomind run -m octohub:deepseek-v4.1-flash. Inside a running session, /model octohub:deepseek-v4.1-flash switches to it without losing context.
Use DeepSeek V4.1 Flash in Octomind
Choose a model when you start, then switch mid-session when the work changes.