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Model comparison

GLM-4.6 vs LFM2-24B-A2B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
55.12/100
No comparison
LiquidAI
N/A
0 category wins0 category wins

Public leaderboard positions: GLM-4.6 #85 (Supported); LFM2-24B-A2B #197 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.6 and LFM2-24B-A2B share 0 comparable benchmark results. 0 of 8 categories are comparable. 14 results are unique to GLM-4.6; 0 to LFM2-24B-A2B.

Updated July 23, 2026
Shared results
0
GLM-4.6 only
14
LFM2-24B-A2B only
0
Comparable categories
0 / 8

Benchmark data for GLM-4.6 and LFM2-24B-A2B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for LFM2-24B-A2B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GLM-4.6 has the larger context window at 200K, compared with 32K for LFM2-24B-A2B.

Operational comparison

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

MetricGLM-4.6LFM2-24B-A2BComparison
Input / output priceUSD per 1M tokensGLM-4.6Not availableLFM2-24B-A2B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondGLM-4.6Not availableLFM2-24B-A2B92 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-4.6Not availableLFM2-24B-A2B0.42 sA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-4.6200KLFM2-24B-A2B32KGLM-4.6 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.6LFM2-24B-A2BResult
τ²-bench resultsSource 76.9%Not comparable
Coding
BenchmarkGLM-4.6LFM2-24B-A2BResult
Vibe Code BenchSource 3.09%Not comparable
AA-SciCodeSource 33.1%Not comparable
Reasoning
BenchmarkGLM-4.6LFM2-24B-A2BResult
AA-LCRSource 26.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGLM-4.6LFM2-24B-A2BResult
Artificial Analysis Intelligence IndexSource 23.0%Not comparable
AA-GPQA DiamondSource 63.2%Not comparable
AA-HLESource 5.2%Not comparable
AA-Omniscience IndexSource -31.6%Not comparable
AA-Omniscience AccuracySource 20.8%Not comparable
AA-Omniscience Hallucination RateSource 66.1%Not comparable
Math
BenchmarkGLM-4.6LFM2-24B-A2BResult
FrontierMath v2 (Tiers 1-3)Source 3.819%Not comparable
FrontierMath v2 (Tier 4)Source 2.128%Not comparable
Inst. Following
BenchmarkGLM-4.6LFM2-24B-A2BResult
AA-IFBenchSource 36.7%Not comparable
Frequently Asked Questions (3)

Can I compare GLM-4.6 and LFM2-24B-A2B on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for GLM-4.6 and LFM2-24B-A2B today?

LFM2-24B-A2B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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