Updated 9 Nov · updated in the last 30 hours

LiquidAI LFM3-1.7B API Pricing

LiquidAI LFM3-1.7B API pricing: $0.08 per 1M tokens for input and $0.20 per 1M tokens for output, from OpenRouter. Published Last checked · Source (data) · Methodology

OpenRouter: Amount worked out from the source page: $0.08 per 1M tokens, in USD · as shown in the United States on 9 Nov 2026 · the page does not say whether tax is included; we do not assume it is excluded · no price change seen since 7 Nov 2026.

Data as of9 Nov 2026Prices checked 9 Nov 2026 · test requests to 8 Nov 2026Data & API
Task receipt: OpenRouter: $0.013; Warm cache: $0.0048 Calculated · Document analysis Assumption: 3 steps; initial input 50,500 tokens; growth 2,500 tokens/step; visible output 1,000 tokens/step. Month: 14,600 tasks. No hidden reasoning or retries. Warm-cache saving: $0.0085 per task. Dashed outline: the no-cache bill.
Task receipt.Calculated · Document analysis Assumption: 3 steps; initial input 50,500 tokens; growth 2,500 tokens/step; visible output 1,000 tokens/step. Month: 14,600 tasks. No hidden reasoning or retries. Warm-cache saving: $0.0085 per task. Dashed outline: the no-cache bill. Open image · Explore the chart · Measured Lab · CC BY 4.0
See cost receipt

Prices USD per 1M tokens, as listed

  • $0.08Input per 1M tokens, through OpenRouter Published
  • $0.20Output per 1M tokens, through OpenRouter Published
All prices by channel
Price per 1M tokensProvider directThrough OpenRouterPrevious prices by channel
Input—$0.08 Published—
Output—$0.20 Published—
Cached input · read—$0.02 Published—

Input price through OpenRouter, 7 Nov 2026 – 9 Nov 2026

7 Nov 2026$0.08 throughout9 Nov 2026

Context window262,144tokens Published
Max output8,192tokens Published

How we got this number

  • What we read: the published price on openrouter.ai/api/v1/models
  • Checked: ; tracked since 7 Nov 2026
  • Shown in: the United States
  • Checks so far: 3 checks since 7 Nov 2026
  • What changed: no price change since 7 Nov 2026
  • Page updated:

Other measured facts

QuestionAnswerCheckedStatus
How much does LiquidAI LFM3-1.7B cost per 1M cache-read tokens (cache hits) on OpenRouter?$0.02 per 1M tokensPublished
How much does LiquidAI LFM3-1.7B cost per 1M output tokens on OpenRouter?$0.20 per 1M tokensPublished
What is the context window of LiquidAI LFM3-1.7B on OpenRouter, in tokens?262,144 tokensPublished
What is the maximum output length of LiquidAI LFM3-1.7B on OpenRouter, in tokens?8,192 tokensPublished

History

Same price in all 3 checks since 7 Nov 2026.

  1. — First check: $0.08 per 1M tokens Added to tracking later than most plans here; it joins month-to-month comparisons from its second month.

The source record lists $0.00000008 per token ($0.08 per 1M tokens), fetched on 9 Nov 2026.

The source record, as published
"prompt":"0.00000008"
What the source says · openrouter.ai

Latest briefings each price change recalculated as a task cost

  1. DeepSeek V4 Pro 0813: price rise input $0.115 → $0.111 per 1M tokens (-3 %), output $4.00 → $4.44 per 1M tokens (+11 %)
  2. DeepSeek V4.1 Flash 1017: price cut input $0.300 → $0.0060 per 1M tokens (-98 %), output $1.20 → $0.500 per 1M tokens (-58 %)
  3. MoonshotAI Kimi K2.5: price rise input $0.500 → $0.532 per 1M tokens (+6 %), output $2.50 → $3.33 per 1M tokens (+33 %)

All briefings

Record history — 15 records for 5 questions
Last record
Shown in
the United States
How much does LiquidAI LFM3-1.7B cost per 1M input tokens on OpenRouter?
TimeValueStatus
9 Nov 2026$0.08 per 1M tokensPublished
8 Nov 2026$0.08 per 1M tokensPublished
7 Nov 2026$0.08 per 1M tokensPublished
How much does LiquidAI LFM3-1.7B cost per 1M cache-read tokens (cache hits) on OpenRouter?
TimeValueStatus
9 Nov 2026$0.02 per 1M tokensPublished
8 Nov 2026$0.02 per 1M tokensPublished
7 Nov 2026$0.02 per 1M tokensPublished
How much does LiquidAI LFM3-1.7B cost per 1M output tokens on OpenRouter?
TimeValueStatus
9 Nov 2026$0.20 per 1M tokensPublished
8 Nov 2026$0.20 per 1M tokensPublished
7 Nov 2026$0.20 per 1M tokensPublished
What is the context window of LiquidAI LFM3-1.7B on OpenRouter, in tokens?
TimeValueStatus
9 Nov 2026262,144 tokensPublished
8 Nov 2026262,144 tokensPublished
7 Nov 2026262,144 tokensPublished
What is the maximum output length of LiquidAI LFM3-1.7B on OpenRouter, in tokens?
TimeValueStatus
9 Nov 20268,192 tokensPublished
8 Nov 20268,192 tokensPublished
7 Nov 20268,192 tokensPublished
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Explore the numbers

LFM3-1.7B

OpenRouter$0.013Warm cache$0.0048$0.00$0.005$0.01$0.015OpenRouter$0.013Warm cache$0.0048$0.00$0.005$0.01$0.015
OpenRouter$194.47Warm cache$70.63$0$50$100$150$200OpenRouter$194.47Warm cache$70.63$0$50$100$150$200

Calculated · Document analysis

Assumption: 3 steps; initial input 50,500 tokens; growth 2,500 tokens/step; visible output 1,000 tokens/step. Month: 14,600 tasks. No hidden reasoning or retries.

Warm-cache saving: $0.0085 per task. Dashed outline: the no-cache bill.

Assumption: first-step cache fraction 75%; earlier context is read again and new context is written. All calls stay within the cache lifetime.

Formula: sum of input, output, cache reads and cache writes × their published rates / 1M. Each step uses its own context tier. Missing cache or batch prices are Unknown.

Fresh input · Visible output · Cache read · Cache write

Sources: this page; published model prices (data (JSON)); task assumptions (data (JSON)). Published prices · Observed responses · Calculated scenarios · Assumptions stated with each chart.