Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
Workload (per month)
DeepSeek: DeepSeek V4.1 Flash
Particle AI: Particle-1
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$13.38
$38.75
DeepSeek: DeepSeek V4.1 Flash saves $25.38
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$10.40
$40.00
DeepSeek: DeepSeek V4.1 Flash saves $29.60
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$11.40
$42.00
DeepSeek: DeepSeek V4.1 Flash saves $30.60
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$6.60
$26.00
DeepSeek: DeepSeek V4.1 Flash saves $19.40
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$2.75
$13.50
DeepSeek: DeepSeek V4.1 Flash saves $10.75
Capabilities side by side
Capability
DeepSeek: DeepSeek V4.1 Flash
Particle AI: Particle-1
What it lets you do
Tool / function calling
✓ Yes
✓ Yes
call your APIs and run agent loops
Structured output (JSON schema)
✓ Yes
✓ Yes
return JSON that validates against your schema
Reasoning / thinking mode
✓ Yes
✓ Yes
spend extra tokens thinking before answering hard problems
Image input
✓ Yes
✓ Yes
read screenshots, charts and scanned pages
Audio input
—
—
take speech or audio directly
File / PDF input
—
—
accept documents without your own parsing step
Image output
—
—
generate images, not just text
Built-in web search
—
—
answer from live web results
Seed (reproducible sampling)
✓ Yes
✓ Yes
repeat a generation for tests and evals
Log-probabilities
✓ Yes
✓ Yes
read token confidence for classification and scoring
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Particle AI: Particle-1: price unchanged since we started tracking it on 2026-10-29.
Date
Model
Input / 1M
Output / 1M
2026-10-29
DeepSeek: DeepSeek V4.1 Flash
$0.04
$0.50
2026-10-27
DeepSeek: DeepSeek V4.1 Flash
$0.14
$0.42
2026-10-24
DeepSeek: DeepSeek V4.1 Flash
$0.02
$1.00
2026-10-23
DeepSeek: DeepSeek V4.1 Flash
$0.17
$0.66
2026-10-22
DeepSeek: DeepSeek V4.1 Flash
$0.30
$1.20
2026-10-21
DeepSeek: DeepSeek V4.1 Flash
$0.05
$0.53
2026-10-20
DeepSeek: DeepSeek V4.1 Flash
$0.04
$0.01
2026-10-19
DeepSeek: DeepSeek V4.1 Flash
$0.05
$0.12
Which should you choose?
Choose DeepSeek: DeepSeek V4.1 Flash if…
cost matters at scale — it is 64% cheaper on a typical 3:1 input/output mix ($13.38 vs $38.75 a month for 50,000 support chats)
you generate long outputs in one go — up to 944K tokens (about 707,800 words) per response
Choose Particle AI: Particle-1 if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Frequently asked questions
Is DeepSeek: DeepSeek V4.1 Flash better than Particle AI: Particle-1?
DeepSeek: DeepSeek V4.1 Flash comes out ahead on the data we track: 2 advantages and none for Particle AI: Particle-1.
Which is cheaper, DeepSeek: DeepSeek V4.1 Flash or Particle AI: Particle-1?
DeepSeek: DeepSeek V4.1 Flash is cheaper: $0.16 vs $0.44 per 1M tokens at a typical 3:1 input/output mix, 64% less. For 50,000 support conversations a month that is $13.38 against $38.75.
How much do DeepSeek: DeepSeek V4.1 Flash and Particle AI: Particle-1 cost per million tokens?
DeepSeek: DeepSeek V4.1 Flash costs $0.04 per 1M input tokens and $0.50 per 1M output tokens; Particle AI: Particle-1 costs $0.25 input and $1.00 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, DeepSeek: DeepSeek V4.1 Flash or Particle AI: Particle-1?
Both take 1.0M tokens per request — roughly 1,573 pages of text.
Do DeepSeek: DeepSeek V4.1 Flash and Particle AI: Particle-1 support function calling and JSON output?
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
Particle-1 is a token-efficient agentic coding model from Particle AI, post-trained on DeepSeek V4.1 Flash. It is suited for software engineering work such as terminal workflows, codebase changes, and data...