Model comparison
Gemma 4 E4B vs Holo3.1-9B
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 E4B #155 (Estimated); Holo3.1-9B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 E4B and Holo3.1-9B share 0 comparable benchmark results. 0 of 8 categories are comparable. 14 results are unique to Gemma 4 E4B; 1 to Holo3.1-9B.
Updated July 21, 2026- Shared results
- 0
- Gemma 4 E4B only
- 14
- Holo3.1-9B only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Gemma 4 E4B and Holo3.1-9B 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.
Holo3.1-9B has the larger context window at 262K, compared with 128K for Gemma 4 E4B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 E4B | Holo3.1-9B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 E4B$0 input / $0 output | Holo3.1-9B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Gemma 4 E4BNot available | Holo3.1-9BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 E4BNot available | Holo3.1-9BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 E4B128K | Holo3.1-9B262K | Holo3.1-9B lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding1 benchmarks
| Benchmark | Gemma 4 E4B | Holo3.1-9B | Result |
|---|---|---|---|
| AA-SciCodeSource | 24.4% | — | Not comparable |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Gemma 4 E4B | Holo3.1-9B | Result |
|---|---|---|---|
| GPQASource | 58.6% | — | Not comparable |
| MMLU-ProSource | 69.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 12.5% | — | Not comparable |
| AA-GPQA DiamondSource | 57.6% | — | Not comparable |
| AA-HLESource | 3.7% | — | Not comparable |
| AA-Omniscience IndexSource | -20.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 8.6% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 31.3% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | Gemma 4 E4B | Holo3.1-9B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 51.4% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemma 4 E4B | Holo3.1-9B | Result |
|---|---|---|---|
| AA-IFBenchSource | 44.2% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemma 4 E4B and Holo3.1-9B 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 E4B and Holo3.1-9B today?
Gemma 4 E4B: $0.00 input / $0.00 output per 1M tokens Holo3.1-9B: $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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