Where can I access LFM2.5-1.2B-Thinking?

Artificial Analysis

Liquid AI

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Open weights model

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Released January 2026

LFM2.5-1.2B-Thinking API Provider Benchmarking & Analysis

Model Comparison

This analysis is intended to support you in choosing the best API provider of LFM2.5-1.2B-Thinking for your use-case.

Fastest

Output speed

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Lowest Latency

Time to first answer token

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Lowest Price

Blended price (per 1M tokens)

Total 0 providers

No API providers are currently available for LFM2.5-1.2B-Thinking.

Benchmarks of providers are not available for this model.

Please see the models page for LFM2.5-1.2B-Thinking for details of the model and its intelligence compared to other models.

Speed

Output tokens per second · Higher is better

No data available

Latency

Seconds to first answer token received · Lower is better

No data available

Price

USD per 1M tokens (blended) · Lower is better

No data available

Update: Default performance benchmarking workload has updated to 10k input tokens to better reflect production use cases. You can still select different workloads above.

Pricing

Pricing: Cache Hit, Input, and Output: LFM2.5-1.2B-Thinking

Price (USD per M Tokens) · Lower is better · 10,000 input tokens

No data available

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

Cost per Intelligence Index Task: LFM2.5-1.2B-Thinking

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better

No data available

Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.

Output Speed vs. Price: LFM2.5-1.2B-Thinking

Blended at 7:2:1 (cache-input-output) · Output speed: output tokens per second · USD per 1M tokens (blended)

Most attractive quadrant

No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Speed

Measured by Output Speed (tokens per second)

Output Speed: LFM2.5-1.2B-Thinking

Output speed: output tokens per second · 10,000 input tokens

No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API or the median across providers where a first-party API is not available.

Time per Intelligence Index Task: LFM2.5-1.2B-Thinking

Weighted average decode time (minutes) per Intelligence Index task · Excludes TTFT and overhead time · Lower is better

No data available

The weighted average time (seconds) per Artificial Analysis Intelligence Index task. This is calculated by dividing output tokens per task by output speed, weighted by the relative weights of each benchmark in the Intelligence Index.

Cost per Task vs. Time per Task: LFM2.5-1.2B-Thinking

Weighted average cost (USD) per Intelligence Index task · Weighted average decode time (minutes) per Intelligence Index task

Most attractive quadrant

No data available

Latency

Measured by Time (seconds) to First Token

Time to First Answer Token: LFM2.5-1.2B-Thinking

Seconds to first token received · Lower is better · 10,000 input tokens

No data available

Time to first answer token received, in seconds, after API request sent. For reasoning models, this includes the 'thinking' time of the model before providing an answer. For models which do not support streaming, this represents time to receive the completion.

Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

End-to-End Response Time

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

End-to-End Response Time: LFM2.5-1.2B-Thinking

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · 10,000 input tokens

No data available

Seconds to receive a 500 token response. Key components:

Input time: Time to receive the first response token
Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
Answer time: Time to generate 500 output tokens, based on output speed

Key Comparison Metrics & API Features



No results.

Frequently Asked Questions

Common questions about LFM2.5-1.2B-Thinking providers

LFM2.5-1.2B-Thinking is not currently available through any API providers we benchmark. As an open weights model, it can be self-hosted.

LFM2.5-1.2B-Thinking API Provider Benchmarking & Analysis

Fastest

Lowest Latency

Lowest Price

Speed

Latency

Price

Pricing

Pricing: Cache Hit, Input, and Output: LFM2.5-1.2B-Thinking

Cache Hit

Cost per Intelligence Index Task: LFM2.5-1.2B-Thinking

Cost per Intelligence Index Task

Output Speed vs. Price: LFM2.5-1.2B-Thinking

Output Speed

Speed

Output Speed: LFM2.5-1.2B-Thinking

Output Speed

Model Performance Representation

Time per Intelligence Index Task: LFM2.5-1.2B-Thinking

Time per Intelligence Index Task

Cost per Task vs. Time per Task: LFM2.5-1.2B-Thinking

Cost per Intelligence Index Task

Latency

Time to First Answer Token: LFM2.5-1.2B-Thinking

Time to First Answer Token

Median

End-to-End Response Time

End-to-End Response Time: LFM2.5-1.2B-Thinking

End-to-End Response Time

Key Comparison Metrics & API Features

Frequently Asked Questions

Where can I access LFM2.5-1.2B-Thinking?