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Model comparison

LFM2.5-VL-450M-Extract vs Qwen 3.6 Max (preview)

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.
No comparison
59.72/100
0 category wins0 category wins

Public leaderboard positions: LFM2.5-VL-450M-Extract unranked (Not scored); Qwen 3.6 Max (preview) #53 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. LFM2.5-VL-450M-Extract and Qwen 3.6 Max (preview) share 0 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to LFM2.5-VL-450M-Extract; 21 to Qwen 3.6 Max (preview).

Updated July 23, 2026
Shared results
0
LFM2.5-VL-450M-Extract only
3
Qwen 3.6 Max (preview) only
21
Comparable categories
0 / 8

Benchmark data for LFM2.5-VL-450M-Extract and Qwen 3.6 Max (preview) 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Qwen 3.6 Max (preview) has the larger context window at 256K, compared with 128K for LFM2.5-VL-450M-Extract.

Operational comparison

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

MetricLFM2.5-VL-450M-ExtractQwen 3.6 Max (preview)Comparison
Input / output priceUSD per 1M tokensLFM2.5-VL-450M-ExtractNot availableQwen 3.6 Max (preview)Not availableA complete price comparison is not available.
Generation speedtokens per secondLFM2.5-VL-450M-ExtractNot availableQwen 3.6 Max (preview)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-VL-450M-ExtractNot availableQwen 3.6 Max (preview)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-VL-450M-Extract128KQwen 3.6 Max (preview)256KQwen 3.6 Max (preview) lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-VL-450M-ExtractQwen 3.6 Max (preview)Result
Terminal-Bench 2.0Source 65.4%Not comparable
QwenClawBenchSource 59.0%Not comparable
QwenWebBenchSource 1532Not comparable
τ²-bench resultsSource 95.9%Not comparable
Coding
BenchmarkLFM2.5-VL-450M-ExtractQwen 3.6 Max (preview)Result
SWE-bench ProSource 57.3%Not comparable
SciCodeSource 47%Not comparable
NL2RepoSource 42.9%Not comparable
Terminal-Bench 2.0Source 65.4%Not comparable
AA-SciCodeSource 46.9%Not comparable
Reasoning
BenchmarkLFM2.5-VL-450M-ExtractQwen 3.6 Max (preview)Result
AA-LCRSource 69.7%Not comparable
CritPtSource 3.7%Not comparable
Knowledge
BenchmarkLFM2.5-VL-450M-ExtractQwen 3.6 Max (preview)Result
SuperGPQASource 73.9%Not comparable
Artificial Analysis Intelligence IndexSource 40.0%Not comparable
AA-GPQA DiamondSource 88.8%Not comparable
AA-HLESource 28.9%Not comparable
AA-Omniscience IndexSource 10.2%Not comparable
AA-Omniscience AccuracySource 37.7%Not comparable
AA-Omniscience Hallucination RateSource 44.2%Not comparable
Math
BenchmarkLFM2.5-VL-450M-ExtractQwen 3.6 Max (preview)Result
FrontierMath v2 (Tiers 1-3)Source 23.103%Not comparable
FrontierMath v2 (Tier 4)Source 4.167%Not comparable
Multimodal
BenchmarkLFM2.5-VL-450M-ExtractQwen 3.6 Max (preview)Result
Liquid Extract JSON ValiditySource 98.9%Not comparable
Liquid Extract F1Source 98.8%Not comparable
Liquid Extract VLM JudgeSource 84.5%Not comparable
Inst. Following
BenchmarkLFM2.5-VL-450M-ExtractQwen 3.6 Max (preview)Result
AA-IFBenchSource 76.6%Not comparable
Frequently Asked Questions (2)

Can I compare LFM2.5-VL-450M-Extract and Qwen 3.6 Max (preview) 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.

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Last updated: July 23, 2026

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