Model comparison
LFM2.5-VL-450M-Extract vs Qwen3.7 Plus
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: LFM2.5-VL-450M-Extract unranked (Not scored); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. LFM2.5-VL-450M-Extract and Qwen3.7 Plus share 0 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to LFM2.5-VL-450M-Extract; 69 to Qwen3.7 Plus.
Updated July 23, 2026- Shared results
- 0
- LFM2.5-VL-450M-Extract only
- 3
- Qwen3.7 Plus only
- 69
- Comparable categories
- 0 / 8
Benchmark data for LFM2.5-VL-450M-Extract and Qwen3.7 Plus 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.
Qwen3.7 Plus has the larger context window at 1M, 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.
| Metric | LFM2.5-VL-450M-Extract | Qwen3.7 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-VL-450M-ExtractNot available | Qwen3.7 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | LFM2.5-VL-450M-ExtractNot available | Qwen3.7 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-VL-450M-ExtractNot available | Qwen3.7 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-VL-450M-Extract128K | Qwen3.7 Plus1M | Qwen3.7 Plus lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | LFM2.5-VL-450M-Extract | Qwen3.7 Plus | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| QwenClawBenchSource | — | 61.8% | Not comparable |
| QwenWebBenchSource | — | 1536 | Not comparable |
| Claw-EvalSource | — | 62.7% | Not comparable |
| BFCL v4Source | — | 72.9% | Not comparable |
| MCP AtlasSource | — | 73.2% | Not comparable |
| VITA-BenchSource | — | 45.6% | Not comparable |
| DeepPlanningSource | — | 62.3% | Not comparable |
| OSWorld-VerifiedSource | — | 73.3% | Not comparable |
| AndroidWorldSource | — | 81.0% | Not comparable |
| AA Agentic IndexSource | — | 20.8% | Not comparable |
| APEX-Agents-AASource | — | 22.4% | Not comparable |
| τ²-bench resultsSource | — | 93% | Not comparable |
| GDPval-AASource | — | 21.8% | Not comparable |
| GDPval-AASource | — | 936 | Not comparable |
| OSWorld 2.0Source | — | 2.8% | Not comparable |
Coding9 benchmarks
| Benchmark | LFM2.5-VL-450M-Extract | Qwen3.7 Plus | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| SWE-bench VerifiedSource | — | 77.7% | Not comparable |
| SWE-bench ProSource | — | 57.6% | Not comparable |
| SWE MultilingualSource | — | 75.8% | Not comparable |
| NL2RepoSource | — | 41.1% | Not comparable |
| SciCodeSource | — | 51.3% | Not comparable |
| LiveCodeBenchSource | — | 89.6% | Not comparable |
| AA Coding IndexSource | — | 55.9% | Not comparable |
| AA-SciCodeSource | — | 45.5% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | LFM2.5-VL-450M-Extract | Qwen3.7 Plus | Result |
|---|---|---|---|
| GPQASource | — | 90.3% | Not comparable |
| GPQA-DSource | — | 90.3% | Not comparable |
| HLESource | — | 34.7% | Not comparable |
| MMLU-ProSource | — | 88.5% | Not comparable |
| MMLU-ReduxSource | — | 94.5% | Not comparable |
| SuperGPQASource | — | 71.4% | Not comparable |
| MMMLUSource | — | 89.0% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 39.0% | Not comparable |
| AA-GPQA DiamondSource | — | 90.0% | Not comparable |
| AA-HLESource | — | 33.4% | Not comparable |
| AA-Omniscience IndexSource | — | 2.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 22.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 25.5% | Not comparable |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal20 benchmarks
| Benchmark | LFM2.5-VL-450M-Extract | Qwen3.7 Plus | Result |
|---|---|---|---|
| Liquid Extract JSON ValiditySource | 98.9% | — | Not comparable |
| Liquid Extract F1Source | 98.8% | — | Not comparable |
| Liquid Extract VLM JudgeSource | 84.5% | — | Not comparable |
| MMMU-ProSource | — | 79% | Not comparable |
| MathVisionSource | — | 90.3% | Not comparable |
| CharXivSource | — | 85.9% | Not comparable |
| ERQASource | — | 69.8% | Not comparable |
| MedXpertQA (MM)Source | — | 71.0% | Not comparable |
| ScreenSpot ProSource | — | 79.0% | Not comparable |
| SimpleVQASource | — | 81.7% | Not comparable |
| MMSearch-PlusSource | — | 41.4% | Not comparable |
| RealWorldQASource | — | 86.9% | Not comparable |
| OmniDocBench 1.5Source | — | 91.4% | Not comparable |
| OCRBench V2Source | — | 70.7% | Not comparable |
| ODINW13Source | — | 51.1% | Not comparable |
| Video-MME (with subtitle)Source | — | 88.0% | Not comparable |
| VideoMMMUSource | — | 85.4% | Not comparable |
| MLVU (M-Avg)Source | — | 87.4% | Not comparable |
| AA-MMMU-ProSource | — | 80.5% | Not comparable |
| Design Arena WebsiteSource | — | 1288 | Not comparable |
Frequently Asked Questions (2)
Can I compare LFM2.5-VL-450M-Extract and Qwen3.7 Plus 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.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.