Model comparison
LFM2.5-VL-1.6B-Extract vs Qwen3 Max
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: LFM2.5-VL-1.6B-Extract unranked (Not scored); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. LFM2.5-VL-1.6B-Extract and Qwen3 Max share 11 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to LFM2.5-VL-1.6B-Extract; 3 to Qwen3 Max.
Updated July 23, 2026- Shared results
- 11
- LFM2.5-VL-1.6B-Extract only
- 4
- Qwen3 Max only
- 3
- Comparable categories
- 0 / 8
Benchmark data for LFM2.5-VL-1.6B-Extract and Qwen3 Max is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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 Max has the larger context window at 1M, compared with 128K for LFM2.5-VL-1.6B-Extract.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2.5-VL-1.6B-Extract | Qwen3 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-VL-1.6B-ExtractNot available | Qwen3 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | LFM2.5-VL-1.6B-ExtractNot available | Qwen3 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-VL-1.6B-ExtractNot available | Qwen3 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-VL-1.6B-Extract128K | Qwen3 Max1M | Qwen3 Max lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | LFM2.5-VL-1.6B-Extract | Qwen3 Max | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 1.0% | 24.0% | Qwen3 Max leads |
| AA-GPQA DiamondSource | 28.9% | 76.4% | Qwen3 Max leads |
| AA-HLESource | 5.1% | 11.1% | Qwen3 Max leads |
| AA-Omniscience IndexSource | -83.9% | -43.1% | Qwen3 Max leads |
| AA-Omniscience AccuracySource | 5.2% | 24.4% | Qwen3 Max leads |
| AA-Omniscience Hallucination RateSource | 94.0% | 89.4% | Qwen3 Max leads |
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | LFM2.5-VL-1.6B-Extract | Qwen3 Max | Result |
|---|---|---|---|
| AA-IFBenchSource | 33.1% | 44.1% | Qwen3 Max leads |
Frequently Asked Questions (2)
Can I compare LFM2.5-VL-1.6B-Extract and Qwen3 Max 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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