Model comparison
Gemma 4 31B 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 31B supported; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 31B and LFM2.5-8B-A1B share 12 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to Gemma 4 31B; 6 to LFM2.5-8B-A1B.
Updated July 16, 2026- Shared results
- 12
- Gemma 4 31B only
- 18
- LFM2.5-8B-A1B only
- 6
- Comparable categories
- 0 / 8
Benchmark data for Gemma 4 31B 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 31B 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 31B | Δ | LFM2.5-8B-A1B |
|---|---|---|---|
| Coding | Gemma 4 31B41.6 | MarginNo overlap | LFM2.5-8B-A1BNot measured |
| Knowledge | Gemma 4 31B53.3 | MarginNo overlap | LFM2.5-8B-A1BNot measured |
| Math | Gemma 4 31BNot measured | MarginNo overlap | LFM2.5-8B-A1B50.0 |
| Multimodal | Gemma 4 31B76.9 | MarginNo overlap | LFM2.5-8B-A1BNot measured |
| Inst. Following | Gemma 4 31BNot 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 31B | LFM2.5-8B-A1B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 31B$0 input / $0 output | LFM2.5-8B-A1B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Gemma 4 31BNot available | LFM2.5-8B-A1BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 31BNot available | LFM2.5-8B-A1BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 31B256K | LFM2.5-8B-A1B128K | Gemma 4 31B lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Gemma 4 31B | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| AA Agentic IndexSource | 14.4% | — | Not comparable |
| τ²-bench resultsSource | 59.9% | 16.1% | Gemma 4 31B leads |
| GDPval-AASource | 15.2% | — | Not comparable |
| GDPval-AASource | 804 | — | Not comparable |
| Gert LabsSource | 35.26% | — | Not comparable |
| AA EnterpriseOps-GymSource | 28.3% | — | Not comparable |
| AA Harvey LABSource | 0.0% | — | Not comparable |
| AA ITBenchSource | 37.3% | — | Not comparable |
| AA Tau3 BankingSource | 15.1% | — | Not comparable |
| BFCL v4Source | — | 49.7% | Not comparable |
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge11 benchmarks
| Benchmark | Gemma 4 31B | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| GPQASource | 84.3% | — | Not comparable |
| MMLU-ProSource | 85.2% | — | Not comparable |
| HLESource | 26.5% | — | Not comparable |
| HLE w/o toolsSource | 19.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 29.4% | 8.3% | Gemma 4 31B leads |
| AA-GPQA DiamondSource | 85.7% | 51.3% | Gemma 4 31B leads |
| AA-HLESource | 22.7% | 6.9% | Gemma 4 31B leads |
| AA-Omniscience IndexSource | -45.4% | -33.3% | LFM2.5-8B-A1B leads |
| AA-Omniscience AccuracySource | 19.9% | 9.4% | Gemma 4 31B leads |
| AA-Omniscience Hallucination RateSource | 81.6% | 47.0% | LFM2.5-8B-A1B leads |
| AA Openness IndexSource | 38.9% | — | Not comparable |
Math3 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare Gemma 4 31B 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 31B and LFM2.5-8B-A1B today?
Gemma 4 31B: $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.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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