DeepSeek: DeepSeek V3.1 vs LiquidAI: LFM2.5-24B-A2B

Neither wins outright: DeepSeek: DeepSeek V3.1 is the pick when you generate long outputs in one go, LiquidAI: LFM2.5-24B-A2B when cost matters at scale.

Key numbers

SpecDeepSeek: DeepSeek V3.1LiquidAI: LFM2.5-24B-A2B
ProviderDeepSeekLiquid
Input price (per 1M tokens)$0.25$0.05
Output price (per 1M tokens)$0.95$0.70
Blended price (3:1 input/output)$0.42$0.21
Cheaper than … of all models we track57%68%
Context window164K tokens (~246 pages)128K tokens (~192 pages)
Larger context than … of all models36%14%
Max output per response33K tokens (~24,600 words)8K tokens (~6,100 words)
Input typestexttext
Output typestexttext
Free variantNoNo
Listed since2025-08-212026-10-13

What it costs for real workloads

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 V3.1LiquidAI: LFM2.5-24B-A2BDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$37.75$17.75LiquidAI: LFM2.5-24B-A2B saves $20.00
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$39.50$13.00LiquidAI: LFM2.5-24B-A2B saves $26.50
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)
$41.40$14.40LiquidAI: LFM2.5-24B-A2B saves $27.00
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$25.70$8.20LiquidAI: LFM2.5-24B-A2B saves $17.50
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$13.45$3.20LiquidAI: LFM2.5-24B-A2B saves $10.25

Capabilities side by side

CapabilityDeepSeek: DeepSeek V3.1LiquidAI: LFM2.5-24B-A2BWhat it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input——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✓ Yesrepeat a generation for tests and evals
Log-probabilities✓ Yes✓ Yesread token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

DateModelInput / 1MOutput / 1M
2026-09-08DeepSeek: DeepSeek V3.1$0.25$0.95
2026-09-04DeepSeek: DeepSeek V3.1$0.55$1.65
2026-09-02DeepSeek: DeepSeek V3.1$0.25$0.95
2026-08-22DeepSeek: DeepSeek V3.1$0.55$1.65
2026-08-06DeepSeek: DeepSeek V3.1$0.25$0.95

Which should you choose?

Choose DeepSeek: DeepSeek V3.1 if…

  • you generate long outputs in one go — up to 33K tokens (about 24,600 words) per response

Choose LiquidAI: LFM2.5-24B-A2B if…

  • cost matters at scale — it is 50% cheaper on a typical 3:1 input/output mix ($17.75 vs $37.75 a month for 50,000 support chats)
  • you want the newer model — released 2026-10-13, 14 months after the other

Frequently asked questions

Is DeepSeek: DeepSeek V3.1 better than LiquidAI: LFM2.5-24B-A2B?

Neither wins outright: DeepSeek: DeepSeek V3.1 is the pick when you generate long outputs in one go, LiquidAI: LFM2.5-24B-A2B when cost matters at scale. In short: DeepSeek: DeepSeek V3.1 when you generate long outputs in one go; LiquidAI: LFM2.5-24B-A2B when cost matters at scale, you want the newer model.

Which is cheaper, DeepSeek: DeepSeek V3.1 or LiquidAI: LFM2.5-24B-A2B?

LiquidAI: LFM2.5-24B-A2B is cheaper: $0.21 vs $0.42 per 1M tokens at a typical 3:1 input/output mix, 50% less. For 50,000 support conversations a month that is $17.75 against $37.75.

How much do DeepSeek: DeepSeek V3.1 and LiquidAI: LFM2.5-24B-A2B cost per million tokens?

DeepSeek: DeepSeek V3.1 costs $0.25 per 1M input tokens and $0.95 per 1M output tokens; LiquidAI: LFM2.5-24B-A2B costs $0.05 input and $0.70 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, DeepSeek: DeepSeek V3.1 or LiquidAI: LFM2.5-24B-A2B?

DeepSeek: DeepSeek V3.1: 164K tokens, about 246 pages, against 128K (about 192 pages) for LiquidAI: LFM2.5-24B-A2B.

Do DeepSeek: DeepSeek V3.1 and LiquidAI: LFM2.5-24B-A2B support function calling and JSON output?

Tool calling — DeepSeek: DeepSeek V3.1: yes, LiquidAI: LFM2.5-24B-A2B: yes. JSON-schema structured output — DeepSeek: DeepSeek V3.1: yes, LiquidAI: LFM2.5-24B-A2B: yes.

Can DeepSeek: DeepSeek V3.1 or LiquidAI: LFM2.5-24B-A2B read images?

Neither accepts image input — both are text-in models.

Is DeepSeek: DeepSeek V3.1 or LiquidAI: LFM2.5-24B-A2B free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of DeepSeek: DeepSeek V3.1 and LiquidAI: LFM2.5-24B-A2B?

DeepSeek: DeepSeek V3.1 can write up to 33K tokens (about 24,600 words) per response; LiquidAI: LFM2.5-24B-A2B up to 8K (about 6,100 words).

When were DeepSeek: DeepSeek V3.1 and LiquidAI: LFM2.5-24B-A2B released?

DeepSeek: DeepSeek V3.1 was listed on 2025-08-21; LiquidAI: LFM2.5-24B-A2B on 2026-10-13.

Has the price of DeepSeek: DeepSeek V3.1 or LiquidAI: LFM2.5-24B-A2B changed?

DeepSeek: DeepSeek V3.1: input price cut 55% ($0.55 → $0.25/1M), output price cut 42% ($1.65 → $0.95/1M) on 2026-09-08 (5 price changes since 2026-03-10). LiquidAI: LFM2.5-24B-A2B: price unchanged since we started tracking it on 2026-10-14.

About the two models

Compare DeepSeek: DeepSeek V3.1 with other models

Compare LiquidAI: LFM2.5-24B-A2B with other models

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