CompareLLM
CompareLLM.ai
Live
Leaderboard
Models
Compare
Best of & Stacks
Research & News
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

Theme:
Currency:
  1. Home
  2. Comparisons
  3. LiquidAI: LFM2.5-2.6B (free) vs OpenAI o1-mini

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

LiquidAI: LFM2.5-2.6B (free) vs OpenAI o1-mini benchmark

In this head-to-head showdown, LiquidAI: LFM2.5-2.6B (free) is more budget-friendly at $0/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both LiquidAI: LFM2.5-2.6B (free) and OpenAI o1-mini present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
Share Analysis:
WhatsAppTelegramXLinkedInReddit
liquid
LiquidAI: LFM2.5-2.6B (free)

Auto-discovered from OpenRouter (liquid/lfm-2.5-2.6b:free). Preview until a second source matches.

$0/1M out
OpenAI
OpenAI o1-mini

OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.

Elo 1,445$4.4/1M out
Top Rival Showdowns for LiquidAI: LFM2.5-2.6B (free)
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

LiquidAI: LFM2.5-2.6B (free)

$0 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageOpenAI o1-mini 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

LiquidAI: LFM2.5-2.6B (free) (2)vsOpenAI o1-mini (7)
LiquidAI: LFM2.5-2.6B (free): 2W (22%)Overall: OpenAI o1-miniOpenAI o1-mini: 7W (78%)
← LiquidAI: LFM2.5-2.6B (free)1 tiesOpenAI o1-mini →
OpenAI o1-mini (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo
—vs1,445
Coding Elo
—vs1,468
SWE-bench
—vs56.4%
LiveBench
—vs62%
GPQA Diamond
—vs76.8%
LiquidAI: LFM2.5-2.6B (free): 0WOpenAI o1-mini: 5W
OpenAI o1-mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs85 tok/s
Time to first token
—vs280 ms
LiquidAI: LFM2.5-2.6B (free): 0WOpenAI o1-mini: 2W
LiquidAI: LFM2.5-2.6B (free) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0/1Mvs$4.4/1M
Input price
$0/1Mvs$1.1/1M
Context window
128kvs128k
LiquidAI: LFM2.5-2.6B (free): 2WOpenAI o1-mini: 0W

Side-by-Side Benchmark Matrix

Preference Elo
LiquidAI: LFM2.5-2.6B (free)—
OpenAI o1-mini1,445
lmarena · Aug 17, 2026
Coding Elo
LiquidAI: LFM2.5-2.6B (free)—
OpenAI o1-mini1,468
lmarena · Aug 17, 2026
LiveBench
LiquidAI: LFM2.5-2.6B (free)—
OpenAI o1-mini62%
livebench · Aug 17, 2026
SWE-bench
LiquidAI: LFM2.5-2.6B (free)—
OpenAI o1-mini56.4%
swebench · Aug 17, 2026
GPQA Diamond
LiquidAI: LFM2.5-2.6B (free)—
OpenAI o1-mini76.8%
seed-bootstrap · Aug 1, 2026
Time to first token
LiquidAI: LFM2.5-2.6B (free)—
OpenAI o1-mini280 ms
seed-bootstrap · Aug 1, 2026
Output speed
LiquidAI: LFM2.5-2.6B (free)—
OpenAI o1-mini85 tok/s
seed-bootstrap · Aug 1, 2026
Input priceLiquidAI: LFM2.5-2.6B (free) (+$1.1/1M)
LiquidAI: LFM2.5-2.6B (free)$0/1M
openrouter · Aug 17, 2026
OpenAI o1-mini$1.1/1M
seed-bootstrap · Aug 1, 2026
Output priceLiquidAI: LFM2.5-2.6B (free) (+$4.4/1M)
LiquidAI: LFM2.5-2.6B (free)$0/1M
openrouter · Aug 17, 2026
OpenAI o1-mini$4.4/1M
seed-bootstrap · Aug 1, 2026
Context window
LiquidAI: LFM2.5-2.6B (free)128k
openrouter · Aug 17, 2026
OpenAI o1-mini128k
seed-bootstrap · Aug 1, 2026
BenchmarkLiquidAI: LFM2.5-2.6B (free)OpenAI o1-miniAdvantage Delta
Preference Elo—
1,445
lmarena · Aug 17, 2026
—
Coding Elo—
1,468
lmarena · Aug 17, 2026
—
LiveBench—
62%
livebench · Aug 17, 2026
—
SWE-bench—
56.4%
swebench · Aug 17, 2026
—
GPQA Diamond—
76.8%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
280 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
85 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0/1M
openrouter · Aug 17, 2026
$1.1/1M
seed-bootstrap · Aug 1, 2026
LiquidAI: LFM2.5-2.6B (free) (+$1.1/1M)
Output price
$0/1M
openrouter · Aug 17, 2026
$4.4/1M
seed-bootstrap · Aug 1, 2026
LiquidAI: LFM2.5-2.6B (free) (+$4.4/1M)
Context window
128k
openrouter · Aug 17, 2026
128k
seed-bootstrap · Aug 1, 2026
—

Key Selection Recommendations

  • 1
    LiquidAI: LFM2.5-2.6B (free):Pick LiquidAI: LFM2.5-2.6B (free) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLiquidAI: LFM2.5-2.6B (free)

Lower output list price ($0/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGLiquidAI: LFM2.5-2.6B (free)

Larger window (128k).

Screenshots / visionOpenAI o1-mini

OpenAI o1-mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatLiquidAI: LFM2.5-2.6B (free)Lower output list price ($0/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGLiquidAI: LFM2.5-2.6B (free)Larger window (128k).
Screenshots / visionOpenAI o1-miniOpenAI o1-mini is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/lfm-2-5-2-6b-free-vs-o1-mini/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE
VS
liquid

LiquidAI: LFM2.5-2.6B (free)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0/1M
OpenAI

OpenAI o1-mini

Elo 1,445
LiveBench62%
SWE-bench56.4%
Speed85 tok/s
Output cost$4.4/1M

Frequently Asked Questions

Which is better overall, LiquidAI: LFM2.5-2.6B (free) or OpenAI o1-mini?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, LiquidAI: LFM2.5-2.6B (free) or OpenAI o1-mini?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
LiquidAI: LFM2.5-2.6B (free) output tokens are $0/1M versus $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, LiquidAI: LFM2.5-2.6B (free) or OpenAI o1-mini?
We do not have TTFT for both models.
Which has the larger context window?
LiquidAI: LFM2.5-2.6B (free) accepts 128k tokens versus 128k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. LiquidAI: LFM2.5-2.6B (free) and OpenAI o1-mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All LiquidAI: LFM2.5-2.6B (free) matchups →|All OpenAI o1-mini matchups →
OpenAI o1-mini vs GPT-4o mini (previous gpt-mini)OpenAI o1-mini vs OpenAI: o3 Mini (next gpt-mini)GPT-5 vs OpenAI o1-miniGPT-4.5 Orion vs OpenAI o1-miniGPT-5.6 Sol vs OpenAI o1-miniGPT-5.6 Terra vs OpenAI o1-mini