Skip to main content

Model comparison

Gemini 3.1 Pro vs LFM2.5-8B-A1B

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

55.04/100
Margin
13.8pts
← winning
41.25/100
0 category wins1 category wins

BenchAlign evidence: Gemini 3.1 Pro estimated; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.1 Pro and LFM2.5-8B-A1B share 12 comparable benchmark results. 1 of 8 categories are comparable. 36 results are unique to Gemini 3.1 Pro; 6 to LFM2.5-8B-A1B.

Updated July 16, 2026
Shared results
12
Gemini 3.1 Pro only
36
LFM2.5-8B-A1B only
6
Comparable categories
1 / 8

Pick Gemini 3.1 Pro if you want the stronger benchmark profile. LFM2.5-8B-A1B only becomes the better choice if mathematics is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Gemini 3.1 Pro is clearly ahead on the provisional aggregate, 88 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Gemini 3.1 Pro is also the more expensive model on tokens at $2.00 input / $12.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B. That is roughly Infinityx on output cost alone. Gemini 3.1 Pro gives you the larger context window at 1M, compared with 128K for LFM2.5-8B-A1B.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Gemini 3.1 Pro and LFM2.5-8B-A1B
CategoryGemini 3.1 ProΔLFM2.5-8B-A1B
MathGemini 3.1 Pro31.8Margin 18.2LFM2.5-8B-A1B50.0
ReasoningGemini 3.1 Pro77.1MarginNo overlapLFM2.5-8B-A1BNot measured
MultimodalGemini 3.1 Pro82.6MarginNo overlapLFM2.5-8B-A1BNot measured
Inst. FollowingGemini 3.1 ProNot measuredMarginNo overlapLFM2.5-8B-A1B68.8

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGemini 3.1 ProLFM2.5-8B-A1BComparison
Input / output priceUSD per 1M tokensGemini 3.1 Pro$2 input / $12 outputLFM2.5-8B-A1B$0 input / $0 outputLFM2.5-8B-A1B has the lower combined listed price.
Generation speedtokens per secondGemini 3.1 Pro109 tok/sLFM2.5-8B-A1BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3.1 Pro29.71 sLFM2.5-8B-A1BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3.1 Pro1MLFM2.5-8B-A1B128KGemini 3.1 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 3.1 ProLFM2.5-8B-A1BResult
Claw-EvalSource 57.8%Not comparable
DeepSearchQASource 69.7%Not comparable
τ²-bench resultsSource 95.6%16.1%Gemini 3.1 Pro leads
AA Agentic IndexSource 21.4%Not comparable
APEX-Agents-AASource 32.0%Not comparable
GDPval-AASource 23.2%Not comparable
GDPval-AASource 965Not comparable
Gert LabsSource 49.91%Not comparable
ResearchClawBenchSource 13.3%Not comparable
AA AutomationBenchSource 37.5%Not comparable
AA EnterpriseOps-GymSource 42.2%Not comparable
AA Harvey LABSource 0.0%Not comparable
AA ITBenchSource 30.3%Not comparable
AA Tau3 BankingSource 16.5%Not comparable
BFCL v4Source 49.7%Not comparable
Coding
BenchmarkGemini 3.1 ProLFM2.5-8B-A1BResult
LiveCodeBench ProSource 82.9%Not comparable
React Native EvalsSource 78.9%Not comparable
Vibe Code BenchSource 32.03%Not comparable
AA Coding IndexSource 68.8%Not comparable
Terminal-Bench HardSource 53.8%4.5%Gemini 3.1 Pro leads
AA-SciCodeSource 58.9%7.8%Gemini 3.1 Pro leads
AA Terminal-Bench 2.1Source 73.8%Not comparable
Reasoning
BenchmarkGemini 3.1 ProLFM2.5-8B-A1BResult
ARC-AGI-2Source 77.1%Not comparable
AA-LCRSource 72.7%0.0%Gemini 3.1 Pro leads
CritPtSource 17.7%0.0%Gemini 3.1 Pro leads
Knowledge
BenchmarkGemini 3.1 ProLFM2.5-8B-A1BResult
GPQA-DSource 94.3%Not comparable
HLE w/o toolsSource 45.4%Not comparable
HealthBench HardSource 20.6%Not comparable
MedXpertQA (Text)Source 71.5%Not comparable
Artificial Analysis Intelligence IndexSource 46.5%8.3%Gemini 3.1 Pro leads
AA-GPQA DiamondSource 94.1%51.3%Gemini 3.1 Pro leads
AA-HLESource 44.7%6.9%Gemini 3.1 Pro leads
AA-Omniscience IndexSource 32.9%-33.3%Gemini 3.1 Pro leads
AA-Omniscience AccuracySource 55.3%9.4%Gemini 3.1 Pro leads
AA-Omniscience Hallucination RateSource 49.9%47.0%LFM2.5-8B-A1B leads
MathLFM2.5-8B-A1B wins
BenchmarkGemini 3.1 ProLFM2.5-8B-A1BResult
FrontierMath v2 (Tiers 1-3)Source 36.900%Not comparable
FrontierMath v2 (Tier 4)Source 16.700%Not comparable
MATH-500Source 88.8%Not comparable
AIME 2025Source 42.5%Not comparable
AIME26Source 50.0%Not comparable
Multilingual
BenchmarkGemini 3.1 ProLFM2.5-8B-A1BResult
AA Global-MMLU-LiteSource 93.2%Not comparable
Multimodal
BenchmarkGemini 3.1 ProLFM2.5-8B-A1BResult
MMMU-ProSource 83.9%Not comparable
CharXivSource 80.2%Not comparable
ERQASource 69.4%Not comparable
SimpleVQASource 72.4%Not comparable
ScreenSpot ProSource 84.4%Not comparable
ZeroBenchSource 29.0%Not comparable
MedXpertQA (MM)Source 81.3%Not comparable
GDPval-AASource 1320Not comparable
AA-MMMU-ProSource 82.4%Not comparable
Design Arena WebsiteSource 1285Not comparable
Inst. Following
BenchmarkGemini 3.1 ProLFM2.5-8B-A1BResult
AA-IFBenchSource 77.1%55.6%Gemini 3.1 Pro leads
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
Frequently Asked Questions (2)

Which is better, Gemini 3.1 Pro or LFM2.5-8B-A1B?

Gemini 3.1 Pro is ahead on BenchLM's provisional leaderboard, 88 to 37.

Which is better for math, Gemini 3.1 Pro or LFM2.5-8B-A1B?

LFM2.5-8B-A1B has the edge for math in this comparison, averaging 50 versus 31.8. Gemini 3.1 Pro stays close enough that the answer can still flip depending on your workload.

Related Comparisons

Last updated: July 16, 2026

The AI models change fast. We track them for you.

A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.

Free. No spam. Unsubscribe anytime.