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Model comparison

LFM2.5-8B-A1B vs Qwen3.5 Flash

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.
41.42/100
Margin
6.2pts
winning →
47.65/100
1 category wins0 category wins

Public leaderboard positions: LFM2.5-8B-A1B #166 (Estimated); Qwen3.5 Flash #134 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. LFM2.5-8B-A1B and Qwen3.5 Flash share 0 comparable benchmark results. 1 of 8 categories are comparable. 17 results are unique to LFM2.5-8B-A1B; 2 to Qwen3.5 Flash.

Updated July 21, 2026
Shared results
0
LFM2.5-8B-A1B only
17
Qwen3.5 Flash only
2
Comparable categories
1 / 8

Pick Qwen3.5 Flash 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 0 shared benchmark results across 0 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

Qwen3.5 Flash is clearly ahead on the BenchAlign aggregate, 47.65 to 41.42. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Qwen3.5 Flash is also the more expensive model on tokens at $0.10 input / $0.40 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. Qwen3.5 Flash gives you the larger context window at 1M, compared with 128K for LFM2.5-8B-A1B.

Operational comparison

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

MetricLFM2.5-8B-A1BQwen3.5 FlashComparison
Input / output priceUSD per 1M tokensLFM2.5-8B-A1B$0 input / $0 outputQwen3.5 Flash$0.1 input / $0.4 outputLFM2.5-8B-A1B has the lower combined listed price.
Generation speedtokens per secondLFM2.5-8B-A1BNot availableQwen3.5 FlashNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-8B-A1BNot availableQwen3.5 FlashNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-8B-A1B128KQwen3.5 Flash1MQwen3.5 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-8B-A1BQwen3.5 FlashResult
BFCL v4Source 49.7%Not comparable
τ²-bench resultsSource 16.1%Not comparable
Coding
BenchmarkLFM2.5-8B-A1BQwen3.5 FlashResult
AA-SciCodeSource 7.8%Not comparable
Reasoning
BenchmarkLFM2.5-8B-A1BQwen3.5 FlashResult
AA-LCRSource 0.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkLFM2.5-8B-A1BQwen3.5 FlashResult
AA-GPQA DiamondSource 51.3%Not comparable
AA-HLESource 6.9%Not comparable
AA-Omniscience IndexSource -33.3%Not comparable
AA-Omniscience AccuracySource 9.4%Not comparable
AA-Omniscience Hallucination RateSource 47.0%Not comparable
Artificial Analysis Intelligence IndexSource 8.3%Not comparable
MathLFM2.5-8B-A1B wins
BenchmarkLFM2.5-8B-A1BQwen3.5 FlashResult
MATH-500Source 88.8%Not comparable
AIME 2025Source 42.5%Not comparable
AIME26Source 50.0%Not comparable
FrontierMath v2 (Tiers 1-3)Source 6.207%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Inst. Following
BenchmarkLFM2.5-8B-A1BQwen3.5 FlashResult
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
AA-IFBenchSource 55.6%Not comparable
Frequently Asked Questions (2)

Which is better, LFM2.5-8B-A1B or Qwen3.5 Flash?

Qwen3.5 Flash is ahead on BenchLM's BenchAlign leaderboard, 47.65 to 41.42.

Which is better for math, LFM2.5-8B-A1B or Qwen3.5 Flash?

LFM2.5-8B-A1B has the edge for math in this comparison, averaging 50 versus 4.7. Qwen3.5 Flash stays close enough that the answer can still flip depending on your workload.

Related Comparisons

Last updated: July 21, 2026

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