Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 4 E4B
~47
0/8 categoriesQwen3.6 Plus
69
Winner · 4/8 categoriesGemma 4 E4B· Qwen3.6 Plus
Pick Qwen3.6 Plus if you want the stronger benchmark profile. Gemma 4 E4B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Qwen3.6 Plus is clearly ahead on the aggregate, 69 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6 Plus's sharpest advantage is in reasoning, where it averages 62 against 25.4. The single biggest benchmark swing on the page is GPQA, 58.6% to 90.4%.
Qwen3.6 Plus gives you the larger context window at 1M, compared with 128K for Gemma 4 E4B.
BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.
Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.
| Benchmark | Gemma 4 E4B | Qwen3.6 Plus |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | — | 61.6% |
| Claw-Eval | — | 58.7% |
| QwenClawBench | — | 57.2% |
| QwenWebBench | — | 1502 |
| TAU3-Bench | — | 70.7% |
| VITA-Bench | — | 44.3% |
| DeepPlanning | — | 41.5% |
| Toolathlon | — | 39.8% |
| MCP Atlas | — | 48.2% |
| MCP-Tasks | — | 74.1% |
| WideResearch | — | 74.3% |
| OSWorld-Verified | — | 62.5% |
| CodingQwen3.6 Plus wins | ||
| LiveCodeBench | 52% | — |
| SWE-bench Verified | — | 78.8% |
| SWE-bench Pro | — | 56.6% |
| SWE Multilingual | — | 73.8% |
| LiveCodeBench v6 | — | 87.1% |
| NL2Repo | — | 37.9% |
| Multimodal & GroundedQwen3.6 Plus wins | ||
| MMMU-Pro | 52.6% | 78.8% |
| MMMU | — | 86.0% |
| RealWorldQA | — | 85.4% |
| OmniDocBench 1.5 | — | 91.2% |
| Video-MME (with subtitle) | — | 87.8% |
| Video-MME (w/o subtitle) | — | 84.2% |
| MathVision | — | 88.0% |
| We-Math | — | 89.0% |
| DynaMath | — | 88.0% |
| MStar | — | 83.3% |
| SimpleVQA | — | 67.3% |
| ChatCVQA | — | 81.5% |
| MMLongBench-Doc | — | 62.0% |
| CC-OCR | — | 83.4% |
| AI2D_TEST | — | 94.4% |
| CountBench | — | 97.6% |
| RefCOCO (avg) | — | 93.5% |
| ODINW13 | — | 51.8% |
| ERQA | — | 65.7% |
| VideoMMMU | — | 84.0% |
| MLVU (M-Avg) | — | 86.7% |
| ScreenSpot Pro | — | 68.2% |
| ReasoningQwen3.6 Plus wins | ||
| BBH | 33.1% | — |
| MRCRv2 | 25.4% | — |
| AI-Needle | — | 68.3% |
| LongBench v2 | — | 62% |
| KnowledgeQwen3.6 Plus wins | ||
| GPQA | 58.6% | 90.4% |
| MMLU-Pro | 69.4% | 88.5% |
| SuperGPQA | — | 71.6% |
| MMLU-Redux | — | 94.5% |
| C-Eval | — | 93.3% |
| HLE | — | 28.8% |
| Instruction Following | ||
| IFEval | — | 94.3% |
| IFBench | — | 74.2% |
| Multilingual | ||
| MMLU-ProX | — | 84.7% |
| NOVA-63 | — | 57.9% |
| INCLUDE | — | 85.1% |
| PolyMath | — | 77.4% |
| VWT2k-lite | — | 84.3% |
| MAXIFE | — | 88.2% |
| Mathematics | ||
| AIME26 | — | 95.3% |
| HMMT Feb 2025 | — | 96.7% |
| HMMT Nov 2025 | — | 94.6% |
| HMMT Feb 2026 | — | 87.8% |
| MMAnswerBench | — | 83.8% |
Qwen3.6 Plus is ahead overall, 69 to 47. The biggest single separator in this matchup is GPQA, where the scores are 58.6% and 90.4%.
Qwen3.6 Plus has the edge for knowledge tasks in this comparison, averaging 66 versus 65.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.6 Plus has the edge for coding in this comparison, averaging 64.9 versus 52. Gemma 4 E4B stays close enough that the answer can still flip depending on your workload.
Qwen3.6 Plus has the edge for reasoning in this comparison, averaging 62 versus 25.4. Gemma 4 E4B stays close enough that the answer can still flip depending on your workload.
Qwen3.6 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 78.8 versus 52.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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