Model comparison
Gemma 4 26B A4B vs LFM2.5-230M
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 26B A4B #67 (Supported); LFM2.5-230M unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 26B A4B and LFM2.5-230M share 1 comparable benchmark result. 1 of 8 categories are comparable. 19 results are unique to Gemma 4 26B A4B; 5 to LFM2.5-230M.
Updated July 23, 2026- Shared results
- 1
- Gemma 4 26B A4B only
- 19
- LFM2.5-230M only
- 5
- Comparable categories
- 1 / 8
Treat this as a split decision. Gemma 4 26B A4B makes more sense if knowledge is the priority or you need the larger 256K context window; LFM2.5-230M is the better fit if you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemma 4 26B A4B and LFM2.5-230M finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Gemma 4 26B A4B is the reasoning model in the pair, while LFM2.5-230M is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemma 4 26B A4B gives you the larger context window at 256K, compared with 32K for LFM2.5-230M.
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 | LFM2.5-230M |
|---|---|---|---|
| Knowledge | Gemma 4 26B A4B43.4 | Margin← 22.2 | LFM2.5-230M21.2 |
| Multimodal | Gemma 4 26B A4B73.8 | MarginNo overlap | LFM2.5-230MNot measured |
| Inst. Following | Gemma 4 26B A4BNot measured | MarginNo overlap | LFM2.5-230M50.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMLU-Pro
KnowledgeA 82.6%B 20.3%Winner: Gemma 4 26B A4BΔ 62.4MMLU-Pro: Gemma 4 26B A4B scored 82.6%; LFM2.5-230M scored 20.3%. Gemma 4 26B A4B wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 26B A4B | LFM2.5-230M | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 26B A4B$0 input / $0 output | LFM2.5-230M$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Gemma 4 26B A4BNot available | LFM2.5-230MNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 26B A4BNot available | LFM2.5-230MNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 26B A4B256K | LFM2.5-230M32K | Gemma 4 26B A4B lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
KnowledgeGemma 4 26B A4B wins11 benchmarks
| Benchmark | Gemma 4 26B A4B | LFM2.5-230M | Result |
|---|---|---|---|
| MMLU-ProSource | 82.6% | 20.3% | Gemma 4 26B A4B leads |
| HLESource | 17.2% | — | Not comparable |
| HLE w/o toolsSource | 8.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 25.7% | — | Not comparable |
| AA-GPQA DiamondSource | 79.2% | — | Not comparable |
| AA-HLESource | 18.3% | — | Not comparable |
| AA-Omniscience IndexSource | -48.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 18.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.9% | — | Not comparable |
| GPQASource | — | 25.4% | Not comparable |
| GPQA-DSource | — | 25.4% | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, Gemma 4 26B A4B or LFM2.5-230M?
Gemma 4 26B A4B and LFM2.5-230M are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Gemma 4 26B A4B or LFM2.5-230M?
Gemma 4 26B A4B has the edge for knowledge tasks in this comparison, averaging 43.4 versus 21.2. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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