Model comparison
Gemma 4 12B vs Qwen3.5-122B-A10B
Head-to-head evidence from 15 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 12B #137 (Estimated); Qwen3.5-122B-A10B #47 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 12B and Qwen3.5-122B-A10B share 15 comparable benchmark results. 3 of 8 categories are comparable. 8 results are unique to Gemma 4 12B; 16 to Qwen3.5-122B-A10B.
Updated July 23, 2026- Shared results
- 15
- Gemma 4 12B only
- 8
- Qwen3.5-122B-A10B only
- 16
- Comparable categories
- 3 / 8
Pick Qwen3.5-122B-A10B if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 6 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.5-122B-A10B is clearly ahead on the BenchAlign aggregate, 60.56 to 47.29. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5-122B-A10B's sharpest advantage is in reasoning, where it averages 60.2 against 43.4. The single biggest benchmark swing on the page is MMLU-Pro, 77.2% to 86.7%.
Qwen3.5-122B-A10B gives you the larger context window at 262K, 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 | Qwen3.5-122B-A10B |
|---|---|---|---|
| Reasoning | Gemma 4 12B43.4 | Margin→ 16.8 | Qwen3.5-122B-A10B60.2 |
| Multimodal | Gemma 4 12B69.1 | Margin→ 8.1 | Qwen3.5-122B-A10B77.2 |
| Knowledge | Gemma 4 12B77.5 | Margin→ 6.1 | Qwen3.5-122B-A10B83.6 |
| Agentic | Gemma 4 12BNot measured | MarginNo overlap | Qwen3.5-122B-A10B56.4 |
| Coding | Gemma 4 12BNot measured | MarginNo overlap | Qwen3.5-122B-A10B72.0 |
| Math | Gemma 4 12B77.5 | MarginNo overlap | Qwen3.5-122B-A10BNot measured |
| Multilingual | Gemma 4 12BNot measured | MarginNo overlap | Qwen3.5-122B-A10B82.2 |
| Inst. Following | Gemma 4 12BNot measured | MarginNo overlap | Qwen3.5-122B-A10B93.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMLU-Pro
KnowledgeA 77.2%B 86.7%Winner: Qwen3.5-122B-A10BΔ 9.5MMLU-Pro: Gemma 4 12B scored 77.2%; Qwen3.5-122B-A10B scored 86.7%. Qwen3.5-122B-A10B wins this benchmark. - Source ↗
GPQA
KnowledgeA 78.8%B 86.6%Winner: Qwen3.5-122B-A10BΔ 7.8GPQA: Gemma 4 12B scored 78.8%; Qwen3.5-122B-A10B scored 86.6%. Qwen3.5-122B-A10B wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 12B | Qwen3.5-122B-A10B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 12BNot available | Qwen3.5-122B-A10B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 4 12BNot available | Qwen3.5-122B-A10BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 12BNot available | Qwen3.5-122B-A10BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 12B256K | Qwen3.5-122B-A10B262K | Qwen3.5-122B-A10B lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Gemma 4 12B | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 36.3% | 93.6% | Qwen3.5-122B-A10B leads |
| Terminal-Bench 2.0Source | — | 49.4% | Not comparable |
| BrowseCompSource | — | 63.8% | Not comparable |
| OSWorld-VerifiedSource | — | 58% | Not comparable |
| AA Agentic IndexSource | — | 20.7% | Not comparable |
| GDPval-AASource | — | 23.9% | Not comparable |
| GDPval-AASource | — | 978 | Not comparable |
Coding3 benchmarks
ReasoningQwen3.5-122B-A10B wins5 benchmarks
KnowledgeQwen3.5-122B-A10B wins12 benchmarks
| Benchmark | Gemma 4 12B | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| GPQASource | 78.8% | 86.6% | Qwen3.5-122B-A10B leads |
| GPQA-DSource | 78.8% | — | Not comparable |
| MMLU-ProSource | 77.2% | 86.7% | Qwen3.5-122B-A10B leads |
| HLE w/o toolsSource | 5.2% | — | Not comparable |
| MMMLUSource | 83.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 22.0% | 32.3% | Qwen3.5-122B-A10B leads |
| AA-GPQA DiamondSource | 75.3% | 85.7% | Qwen3.5-122B-A10B leads |
| AA-HLESource | 14.8% | 23.4% | Qwen3.5-122B-A10B leads |
| AA-Omniscience IndexSource | -51.9% | -39.6% | Qwen3.5-122B-A10B leads |
| AA-Omniscience AccuracySource | 16.0% | 24.7% | Qwen3.5-122B-A10B leads |
| AA-Omniscience Hallucination RateSource | 80.8% | 85.5% | Gemma 4 12B leads |
| SuperGPQASource | — | 67.1% | Not comparable |
Math1 benchmarks
| Benchmark | Gemma 4 12B | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| AIME26Source | 77.5% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | Gemma 4 12B | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 82.2% | Not comparable |
MultimodalQwen3.5-122B-A10B wins8 benchmarks
| Benchmark | Gemma 4 12B | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| MMMU-ProSource | 69.1% | — | Not comparable |
| MathVisionSource | 79.7% | 86.2% | Qwen3.5-122B-A10B leads |
| MedXpertQA (MM)Source | 48.7% | — | Not comparable |
| AA-MMMU-ProSource | 69.7% | 75.0% | Qwen3.5-122B-A10B leads |
| MMMUSource | — | 83.9% | Not comparable |
| MMVUSource | — | 74.7% | Not comparable |
| CharXivSource | — | 77.2% | Not comparable |
| V*Source | — | 93.2% | Not comparable |
Frequently Asked Questions (4)
Which is better, Gemma 4 12B or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B is ahead on BenchLM's BenchAlign leaderboard, 60.56 to 47.29. The biggest single separator in this matchup is MMLU-Pro, where the scores are 77.2% and 86.7%.
Which is better for knowledge tasks, Gemma 4 12B or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 83.6 versus 77.5. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for reasoning, Gemma 4 12B or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B has the edge for reasoning in this comparison, averaging 60.2 versus 43.4. Inside this category, AA-LCR is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Gemma 4 12B or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B has the edge for multimodal and grounded tasks in this comparison, averaging 77.2 versus 69.1. Inside this category, MathVision is the benchmark that creates the most daylight between them.
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