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

Every score has a dated snapshot.

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  3. GPT-4o mini vs LiquidAI: LFM2.5-2.6B (free)

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

GPT-4o mini vs LiquidAI: LFM2.5-2.6B (free) 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: Choose GPT-4o mini if your priority is peak reasoning, complex code generation, and top preference Elo. Choose LiquidAI: LFM2.5-2.6B (free) if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

2 direct benchmark disciplines evaluated across capability, speed, and cost

GPT-4o mini (0)LiquidAI: LFM2.5-2.6B (free) (2)
GPT-4o mini
0 of 2 Wins
Competitive baseline across remaining benchmarks
LiquidAI: LFM2.5-2.6B (free)
2 of 2 Wins
✓Input price✓Output price
OpenAI
GPT-4o mini

Legacy small OpenAI model. Useful as a cheap baseline.

4o MiniElo 1,272$0.6/1M out
liquid
Leads 2 of 2 metrics
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

GPT-4 Series Lineage & Sibling Variants

4 models

Currently comparing GPT-4o mini vs LiquidAI: LFM2.5-2.6B (free). Alternative family tiers available.

Active: GPT-4o mini
GPT-4o$10GPT-4.5 Orion$150OpenAI: GPT-4$60
Top Rival Showdowns for GPT-4o mini
All Matchups
Compare vs:vs Claude Opus 4.5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderLiquidAI: LFM2.5-2.6B (free) Wins

LiquidAI: LFM2.5-2.6B (free)

$0 / 1M output

Capability Percentiles

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

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

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

GPT-4o mini (6)vsLiquidAI: LFM2.5-2.6B (free) (2)
GPT-4o mini: 6W (75%)Overall: GPT-4o miniLiquidAI: LFM2.5-2.6B (free): 2W (25%)
← GPT-4o mini1 tiesLiquidAI: LFM2.5-2.6B (free) →
🏆GPT-4o mini(4/5)

Intelligence & Reasoning

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

Benchmark
GPT-4o minivsLiquidAI: LFM2.5-2.6B (free)
Preference Elo
1,272vs—
Coding Elo
—vs—
SWE-bench
41.2%vs—
LiveBench
48.1%vs—
GPQA Diamond
60.1%vs—
GPT-4o mini: 4WLiquidAI: LFM2.5-2.6B (free): 0W
🏆GPT-4o mini(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
GPT-4o minivsLiquidAI: LFM2.5-2.6B (free)
Output speed
160 tok/svs—
Time to first token
130 msvs—
GPT-4o mini: 2WLiquidAI: LFM2.5-2.6B (free): 0W
🏆LiquidAI: LFM2.5-2.6B (free)(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
GPT-4o minivsLiquidAI: LFM2.5-2.6B (free)
Output price
$0.6/1Mvs$0/1M+$0.6/1M
Input price
$0.15/1Mvs$0/1M+$0.15/1M
Context window
128kvs128k
GPT-4o mini: 0WLiquidAI: LFM2.5-2.6B (free): 2W

Side-by-Side Benchmark Matrix

Preference Elo
GPT-4o mini1,272
lmarena · Aug 17, 2026
LiquidAI: LFM2.5-2.6B (free)—
LiveBench
GPT-4o mini48.1%
livebench · Aug 17, 2026
LiquidAI: LFM2.5-2.6B (free)—
SWE-bench
GPT-4o mini41.2%
swebench · Aug 17, 2026
LiquidAI: LFM2.5-2.6B (free)—
GPQA Diamond
GPT-4o mini60.1%
seed-bootstrap · Aug 1, 2026
LiquidAI: LFM2.5-2.6B (free)—
Time to first token
GPT-4o mini130 ms
seed-bootstrap · Aug 1, 2026
LiquidAI: LFM2.5-2.6B (free)—
Output speed
GPT-4o mini160 tok/s
seed-bootstrap · Aug 1, 2026
LiquidAI: LFM2.5-2.6B (free)—
Input price+$0.15/1M
GPT-4o mini$0.15/1M
openrouter · Aug 17, 2026
LiquidAI: LFM2.5-2.6B (free)$0/1M
openrouter · Aug 17, 2026
Output price+$0.6/1M
GPT-4o mini$0.6/1M
openrouter · Aug 17, 2026
LiquidAI: LFM2.5-2.6B (free)$0/1M
openrouter · Aug 17, 2026
Context window
GPT-4o mini128k
openrouter · Aug 17, 2026
LiquidAI: LFM2.5-2.6B (free)128k
openrouter · Aug 17, 2026
BenchmarkGPT-4o miniLiquidAI: LFM2.5-2.6B (free)Advantage Delta
Preference Elo
1,272
lmarena · Aug 17, 2026
——
LiveBench
48.1%
livebench · Aug 17, 2026
——
SWE-bench
41.2%
swebench · Aug 17, 2026
——
GPQA Diamond
60.1%
seed-bootstrap · Aug 1, 2026
——
Time to first token
130 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
160 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$0.15/1M
openrouter · Aug 17, 2026
$0/1M
openrouter · Aug 17, 2026
+$0.15/1M
Output price
$0.6/1M
openrouter · Aug 17, 2026
$0/1M
openrouter · Aug 17, 2026
+$0.6/1M
Context window
128k
openrouter · Aug 17, 2026
128k
openrouter · Aug 17, 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 RAGGPT-4o mini

Larger window (128k).

Screenshots / visionGPT-4o mini

GPT-4o 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 RAGGPT-4o miniLarger window (128k).
Screenshots / visionGPT-4o miniGPT-4o mini is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
OpenAI

GPT-4o mini

Elo 1,272
SWE-bench41.2%
Speed (tok/s)160 tok/s
Input / 1M Tokens$0.15/1M
Output / 1M Tokens$0.6/1M
liquid

LiquidAI: LFM2.5-2.6B (free)

Elo n/a
SWE-bench—
Speed (tok/s)128k
Input / 1M Tokens$0/1M
Output / 1M Tokens$0/1M

Frequently Asked Questions

Which is better overall, GPT-4o mini or LiquidAI: LFM2.5-2.6B (free)?
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, GPT-4o mini or LiquidAI: LFM2.5-2.6B (free)?
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 $0.6/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-4o mini or LiquidAI: LFM2.5-2.6B (free)?
We do not have TTFT for both models.
Which has the larger context window?
GPT-4o mini 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. GPT-4o mini and LiquidAI: LFM2.5-2.6B (free) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

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