Model comparison
Gemma 4 26B A4B vs LFM2.5-8B-A1B
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: Gemma 4 26B A4B supported; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 26B A4B and LFM2.5-8B-A1B share 12 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to Gemma 4 26B A4B; 6 to LFM2.5-8B-A1B.
Updated July 16, 2026- Shared results
- 12
- Gemma 4 26B A4B only
- 9
- LFM2.5-8B-A1B only
- 6
- Comparable categories
- 0 / 8
Benchmark data for Gemma 4 26B A4B and LFM2.5-8B-A1B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 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.
Gemma 4 26B A4B has the larger context window at 256K, compared with 128K for LFM2.5-8B-A1B.
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 26B A4B | Δ | LFM2.5-8B-A1B |
|---|---|---|---|
| Knowledge | Gemma 4 26B A4B43.8 | MarginNo overlap | LFM2.5-8B-A1BNot measured |
| Math | Gemma 4 26B A4BNot measured | MarginNo overlap | LFM2.5-8B-A1B50.0 |
| Multimodal | Gemma 4 26B A4B73.8 | MarginNo overlap | LFM2.5-8B-A1BNot measured |
| Inst. Following | Gemma 4 26B A4BNot measured | MarginNo overlap | LFM2.5-8B-A1B68.8 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 26B A4B | LFM2.5-8B-A1B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 26B A4B$0 input / $0 output | LFM2.5-8B-A1B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Gemma 4 26B A4BNot available | LFM2.5-8B-A1BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 26B A4BNot available | LFM2.5-8B-A1BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 26B A4B256K | LFM2.5-8B-A1B128K | Gemma 4 26B A4B lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Gemma 4 26B A4B | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| MMLU-ProSource | 82.6% | — | Not comparable |
| HLESource | 17.2% | — | Not comparable |
| HLE w/o toolsSource | 8.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 25.7% | 8.3% | Gemma 4 26B A4B leads |
| AA-GPQA DiamondSource | 79.2% | 51.3% | Gemma 4 26B A4B leads |
| AA-HLESource | 18.3% | 6.9% | Gemma 4 26B A4B leads |
| AA-Omniscience IndexSource | -48.1% | -33.3% | LFM2.5-8B-A1B leads |
| AA-Omniscience AccuracySource | 18.2% | 9.4% | Gemma 4 26B A4B leads |
| AA-Omniscience Hallucination RateSource | 80.9% | 47.0% | LFM2.5-8B-A1B leads |
Math3 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare Gemma 4 26B A4B and LFM2.5-8B-A1B 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.
What data is available for Gemma 4 26B A4B and LFM2.5-8B-A1B today?
Gemma 4 26B A4B: $0.00 input / $0.00 output per 1M tokens LFM2.5-8B-A1B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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