Model comparison
Gemma 4 12B vs LFM2.5-VL-1.6B-Extract
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 12B #137 (Estimated); LFM2.5-VL-1.6B-Extract unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 12B and LFM2.5-VL-1.6B-Extract share 12 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to Gemma 4 12B; 3 to LFM2.5-VL-1.6B-Extract.
Updated July 23, 2026- Shared results
- 12
- Gemma 4 12B only
- 11
- LFM2.5-VL-1.6B-Extract only
- 3
- Comparable categories
- 0 / 8
Benchmark data for Gemma 4 12B and LFM2.5-VL-1.6B-Extract is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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.
Gemma 4 12B has the larger context window at 256K, 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.
| Category | Gemma 4 12B | Δ | LFM2.5-VL-1.6B-Extract |
|---|---|---|---|
| Reasoning | Gemma 4 12B43.4 | MarginNo overlap | LFM2.5-VL-1.6B-ExtractNot measured |
| Knowledge | Gemma 4 12B77.5 | MarginNo overlap | LFM2.5-VL-1.6B-ExtractNot measured |
| Math | Gemma 4 12B77.5 | MarginNo overlap | LFM2.5-VL-1.6B-ExtractNot measured |
| Multimodal | Gemma 4 12B69.1 | MarginNo overlap | LFM2.5-VL-1.6B-ExtractNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 12B | LFM2.5-VL-1.6B-Extract | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 12BNot available | LFM2.5-VL-1.6B-ExtractNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 12BNot available | LFM2.5-VL-1.6B-ExtractNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 12BNot available | LFM2.5-VL-1.6B-ExtractNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 12B256K | LFM2.5-VL-1.6B-Extract128K | Gemma 4 12B lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Gemma 4 12B | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| τ²-bench resultsSource | 36.3% | 8.5% | Gemma 4 12B leads |
Coding1 benchmarks
| Benchmark | Gemma 4 12B | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| AA-SciCodeSource | 38.2% | 3.0% | Gemma 4 12B leads |
Reasoning4 benchmarks
Knowledge11 benchmarks
| Benchmark | Gemma 4 12B | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| GPQASource | 78.8% | — | Not comparable |
| GPQA-DSource | 78.8% | — | Not comparable |
| MMLU-ProSource | 77.2% | — | Not comparable |
| HLE w/o toolsSource | 5.2% | — | Not comparable |
| MMMLUSource | 83.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 22.0% | 1.0% | Gemma 4 12B leads |
| AA-GPQA DiamondSource | 75.3% | 28.9% | Gemma 4 12B leads |
| AA-HLESource | 14.8% | 5.1% | Gemma 4 12B leads |
| AA-Omniscience IndexSource | -51.9% | -83.9% | Gemma 4 12B leads |
| AA-Omniscience AccuracySource | 16.0% | 5.2% | Gemma 4 12B leads |
| AA-Omniscience Hallucination RateSource | 80.8% | 94.0% | Gemma 4 12B leads |
Math1 benchmarks
| Benchmark | Gemma 4 12B | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| AIME26Source | 77.5% | — | Not comparable |
Multimodal7 benchmarks
| Benchmark | Gemma 4 12B | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| MMMU-ProSource | 69.1% | — | Not comparable |
| MathVisionSource | 79.7% | — | Not comparable |
| MedXpertQA (MM)Source | 48.7% | — | Not comparable |
| AA-MMMU-ProSource | 69.7% | 26.5% | Gemma 4 12B leads |
| Liquid Extract JSON ValiditySource | — | 99.6% | Not comparable |
| Liquid Extract F1Source | — | 99.6% | Not comparable |
| Liquid Extract VLM JudgeSource | — | 90.6% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemma 4 12B | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.5% | 33.1% | Gemma 4 12B leads |
Frequently Asked Questions (2)
Can I compare Gemma 4 12B and LFM2.5-VL-1.6B-Extract 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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