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Cost and performance comparison

DeepSeek V3.2 vs DeepSeek V4.1 Flash

Model ADeepSeek

DeepSeek V3.2

Capability score (editorial)83/100
Cost / 1M Tokens
$0.32
70% in · 30% out mix
Value Index (score÷cost)
252.7
Higher = better value
Speed
88/100
Context
128K
Tier
Fast Tier

Last list price before the model was retired.

Across the 25 languages we measured, it needs about 21% more tokens than OpenAI's for the same text. Costs by language

How we verify prices

Model BDeepSeek

DeepSeek V4.1 Flash

Capability score (editorial)89/100
Cost / 1M Tokens
$0.57
70% in · 30% out mix
Value Index (score÷cost)
153.1
Higher = better value
Speed
93/100
Context
1.0M
Tier
Fast Tier

List price from the DeepSeek pricing page, verified October 12, 2026.

Across the 25 languages we measured, it needs about 21% more tokens than OpenAI's for the same text. Costs by language

Check the source

How we verify prices

In-depth analysis

DeepSeek V3.2 vs DeepSeek V4.1 Flash: Detailed Comparison

DeepSeek V3.2 is DeepSeek's lightweight-tier language model with a 128K-token context window, excelling at coding. DeepSeek V4.1 Flash from DeepSeek is a lightweight-tier model supporting 1.0M tokens in context, with standout performance in reasoning.

This is a genuine tradeoff rather than a clear win. DeepSeek V4.1 Flash leads by 9 points on combined coding and reasoning, and costs 44% more for the same text to do it. The margin is narrow enough that the answer depends on your workload: on tasks where the extra capability shows up, the premium pays for itself; on routine work it does not. DeepSeek V3.2 is priced at $0.28/M input tokens and $0.42/M output tokens. DeepSeek V4.1 Flash costs $0.30/M input and $1.20/M output.

On iOPTERA's editorial scores, DeepSeek V4.1 Flash leads with 88/100 for coding and 89/100 for reasoning, against DeepSeek V3.2's 85/100 and 83/100.

Capability breakdown

Across the five core benchmark categories, here is how DeepSeek V3.2 and DeepSeek V4.1 Flash stack up head to head:

coding
85
88
reasoning
83
89
data extraction
82
88
creative tasks
79
84

Best model by task

  • coding: DeepSeek V4.1 Flash wins with 88/100
  • reasoning: DeepSeek V4.1 Flash wins with 89/100
  • data extraction: DeepSeek V4.1 Flash wins with 88/100
  • creative tasks: DeepSeek V4.1 Flash wins with 84/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), DeepSeek V3.2 runs about $3.71 while DeepSeek V4.1 Flash runs about $5.51 — DeepSeek V3.2 saves roughly $1.80 (33%) every month.

What actually decides it

Both models come from DeepSeek, so they share a tokenizer, an API surface, and a billing account. Switching between them is a model-string change and nothing else — no new SDK, no re-tokenizing your prompts to re-estimate cost, no second vendor to onboard. That makes routing between them far cheaper to implement than a cross-vendor split.

These are the same lab's model at the same tier, 9 months apart — so this is an upgrade question, not a choice between alternatives. DeepSeek V4.1 Flash is the current entry; DeepSeek V3.2 is here because plenty of production traffic still runs on it. If you are starting something new there is little reason to pick the older one, and if you are already on it the question is whether the migration cost is worth the gain.

The context gap is the largest single difference on this pair: DeepSeek V4.1 Flash takes 1.0M tokens against 128K for DeepSeek V3.2, roughly 7.8x. That is the difference between feeding in a whole repository or a full contract set and having to chunk it. If your work involves documents you cannot split cleanly, this decides it on its own.

Throughput is close enough to ignore — 93/100 versus 88/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.

Neither model is the obvious answer. DeepSeek V4.1 Flash leads on benchmarks, DeepSeek V3.2 on cost, and the gap is small on both. Run the calculator above with your real token mix — for most workloads that decides it faster than any benchmark table will.

What you actually pay

The list price is only the start. Prompt caching, batch processing and long prompts change the bill, and each provider sets them differently. Prices per 1M tokens.

Pricing terms beyond the list price, per 1M tokens
Pricing termDeepSeek V3.2DeepSeek V4.1 Flash
List price (input / output)$0.28 / $0.42$0.30 / $1.20
Cached input—$0.0062% of the input price
Batch API—Not on the price page
Long prompts—No surcharge across the 1M window
Off-peak—50% off outside 01:00–04:00, 06:00–10:00 UTC on weekdays
Input with 80% cache hits—$0.065

The last row assumes 80% of input tokens are read from the cache, as in a chat app that re-sends a long system prompt or RAG over the same documents. Cache-write and storage charges are not included.

Checked on October 8, 2026 against the pricing pages of DeepSeek.

Capability scores

iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us

CategoryDeepSeek V3.2DeepSeek V4.1Winner

Coding

85
88
B

Reasoning

83
89
B

Extraction

82
88
B

Creative

79
84
B

Vision

0
0
Tied
DeepSeek V3.2: 0 wins
DeepSeek V4.1 Flash: 4 wins
DeepSeek V4.1 Flash leads overall

Speed Score

88/100vs93/100
DeepSeekDeepSeek

Context Window

128Kvs1000K
DeepSeekDeepSeek

What Is a Token?

Models don't read words — they process tokens.

A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.

Short phrase

"Hello, world!"

4 tokens
DeepSeek V3.2
$0.11
DeepSeek V4.1 Flash
$0.12

Business email

One typical email (~200 words)

~270 tokens
DeepSeek V3.2
$7.71
DeepSeek V4.1 Flash
$8.26

Code file

50-line Python script

~400 tokens
DeepSeek V3.2
$11.42
DeepSeek V4.1 Flash
$12.24

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both DeepSeek V3.2 and DeepSeek V4.1 Flash, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.

How to check your token usage

response.usage.total_tokens

Every API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.

Your Cost Calculator

Enter your actual monthly token usage to see real savings

Quick Presets

30M tokens
Prompt 70%Completion 30%
Cheaper

DeepSeek V3.2

$9.85/mo

$118.24/yr

$0.28/M input$0.42/M output

DeepSeek V4.1 Flash

$17.44/mo

$209.30/yr

$0.30/M input$1.20/M output

Annual Savings

$91.07 saved per year

DeepSeek V3.2 cheaper · $7.59/mo

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