Model comparison
Gemma 4 E2B vs Laguna XS.2
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 E2B #171 (Estimated); Laguna XS.2 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 E2B and Laguna XS.2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to Gemma 4 E2B; 5 to Laguna XS.2.
Updated July 27, 2026- Shared results
- 0
- Gemma 4 E2B only
- 18
- Laguna XS.2 only
- 5
- Comparable categories
- 0 / 8
Benchmark data for Gemma 4 E2B and Laguna XS.2 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.
Laguna XS.2 has the larger context window at 256K, compared with 128K for Gemma 4 E2B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 E2B | Laguna XS.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 E2B$0 input / $0 output | Laguna XS.2$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Gemma 4 E2BNot available | Laguna XS.2Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 E2BNot available | Laguna XS.2Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 E2B128K | Laguna XS.2256K | Laguna XS.2 lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding6 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Gemma 4 E2B | Laguna XS.2 | Result |
|---|---|---|---|
| GPQASource | 43.4% | — | Not comparable |
| MMLU-ProSource | 60% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 9.5% | — | Not comparable |
| AA-GPQA DiamondSource | 40.5% | — | Not comparable |
| AA-HLESource | 4.8% | — | Not comparable |
| AA-Omniscience IndexSource | -24.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 6.7% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 32.9% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | Gemma 4 E2B | Laguna XS.2 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 44.6% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemma 4 E2B | Laguna XS.2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 36.0% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemma 4 E2B and Laguna XS.2 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 E2B and Laguna XS.2 today?
Gemma 4 E2B: $0.00 input / $0.00 output per 1M tokens Laguna XS.2: $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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The model to choose, the cheaper alternative, and the release we would wait on.
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