Model comparison
Gemma 4 12B vs Interfaze Beta
Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 12B #137 (Estimated); Interfaze Beta unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 12B and Interfaze Beta share 4 comparable benchmark results. 2 of 8 categories are comparable. 19 results are unique to Gemma 4 12B; 6 to Interfaze Beta.
Updated July 23, 2026- Shared results
- 4
- Gemma 4 12B only
- 19
- Interfaze Beta only
- 6
- Comparable categories
- 2 / 8
Treat this as a split decision. Gemma 4 12B makes more sense if its workflow fits your team better; Interfaze Beta is the better fit if knowledge is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 2 evidence categories; 2 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 12B and Interfaze Beta 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.
Interfaze Beta gives you the larger context window at 1M, compared with 256K for Gemma 4 12B.
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 12B | Δ | Interfaze Beta |
|---|---|---|---|
| Knowledge | Gemma 4 12B77.5 | Margin→ 12.4 | Interfaze Beta89.9 |
| Multimodal | Gemma 4 12B69.1 | Margin→ 2.0 | Interfaze Beta71.1 |
| Reasoning | Gemma 4 12B43.4 | MarginNo overlap | Interfaze BetaNot measured |
| Math | Gemma 4 12B77.5 | MarginNo overlap | Interfaze BetaNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 78.8%B 89.9%Winner: Interfaze BetaΔ 11.1GPQA: Gemma 4 12B scored 78.8%; Interfaze Beta scored 89.9%. Interfaze Beta wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 69.1%B 71.1%Winner: Interfaze BetaΔ 2MMMU-Pro: Gemma 4 12B scored 69.1%; Interfaze Beta scored 71.1%. Interfaze Beta wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 12B | Interfaze Beta | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 12BNot available | Interfaze Beta$1.5 input / $3.5 output | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 12BNot available | Interfaze BetaNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 12BNot available | Interfaze BetaNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 12B256K | Interfaze Beta1M | Interfaze Beta lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Gemma 4 12B | Interfaze Beta | Result |
|---|---|---|---|
| τ²-bench resultsSource | 36.3% | — | Not comparable |
Coding2 benchmarks
Reasoning4 benchmarks
KnowledgeInterfaze Beta wins11 benchmarks
| Benchmark | Gemma 4 12B | Interfaze Beta | Result |
|---|---|---|---|
| GPQASource | 78.8% | 89.9% | Interfaze Beta leads |
| GPQA-DSource | 78.8% | 89.9% | Interfaze Beta leads |
| MMLU-ProSource | 77.2% | — | Not comparable |
| HLE w/o toolsSource | 5.2% | — | Not comparable |
| MMMLUSource | 83.4% | 90.9% | Interfaze Beta leads |
| Artificial Analysis Intelligence IndexSource | 22.0% | — | Not comparable |
| AA-GPQA DiamondSource | 75.3% | — | Not comparable |
| AA-HLESource | 14.8% | — | Not comparable |
| AA-Omniscience IndexSource | -51.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 16.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.8% | — | Not comparable |
Math1 benchmarks
| Benchmark | Gemma 4 12B | Interfaze Beta | Result |
|---|---|---|---|
| AIME26Source | 77.5% | — | Not comparable |
MultimodalInterfaze Beta wins8 benchmarks
| Benchmark | Gemma 4 12B | Interfaze Beta | Result |
|---|---|---|---|
| MMMU-ProSource | 69.1% | 71.1% | Interfaze Beta leads |
| MathVisionSource | 79.7% | — | Not comparable |
| MedXpertQA (MM)Source | 48.7% | — | Not comparable |
| AA-MMMU-ProSource | 69.7% | — | Not comparable |
| OCRBench V2Source | — | 70.7% | Not comparable |
| olmOCRSource | — | 85.7% | Not comparable |
| RefCOCO (avg)Source | — | 82.1% | Not comparable |
| VoxPopuli WERSource | — | 2.4% | Not comparable |
Frequently Asked Questions (3)
Which is better, Gemma 4 12B or Interfaze Beta?
Gemma 4 12B and Interfaze Beta 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 12B or Interfaze Beta?
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 77.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Gemma 4 12B or Interfaze Beta?
Interfaze Beta has the edge for multimodal and grounded tasks in this comparison, averaging 71.1 versus 69.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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