Gemini 4 Argon vs Qwen3.6 Max
Gemini 4 Argon 
Qwen3.6 Max Verdict
- Gemini 4 Argon (high) leads on quality: 70.0 vs 62.5.
- Gemini 4 Argon (high) is stronger in coding, composite, human preference, knowledge, maths, reasoning.
- Qwen3.6 Max (max) is stronger in agents & tools, long context, instruction following.
- Qwen3.6 Max (max) is 1.4× cheaper ($2.92 vs $4.00 per 1M blended).
| Metric | Gemini 4 Argon (high) | Qwen3.6 Max (max) |
|---|---|---|
| BenchLeader Index | 70.0 | 62.5 |
| Agents & tools score | 67.5 | 71.9 |
| Coding score | 72.1 | 56.9 |
| Composite score | 89.2 | 61.6 |
| Human preference score | 73.2 | 65.2 |
| Knowledge score | 75.7 | 62.6 |
| Long context score | 65.0 | 65.6 |
| Maths score | 71.9 | 65.3 |
| Reasoning score | 82.0 | 58.4 |
| Instruction following score | – | 74.4 |
| Blended price $/M | $4.00 | $2.92 |
| Output speed | – | 71 tok/s |
| Time to first answer | – | 31.3 s |
| Context window | 1M | 262k |
| GPQA Diamond | – | 87.4% |
| OTIS Mock AIME | – | 91.1% |
| SWE-bench Verified (Epoch) | – | 76.7% |
| SimpleQA Verified | – | 52.0% |
| SimpleBench | – | 63.0% |
| SciCode | 61.8% | – |
| Epoch Capabilities Index | – | 149.2 |
| LMArena Text | 1525 | 1460 |
| LMArena Hard Prompts | 1551 | 1482 |
| LMArena Coding | 1562 | 1511 |
| LMArena WebDev | 1678 | 1482 |
| LMArena Agent | 9.3 | – |
| AA Intelligence Index v4.3.2 | 52.6 | 28.4 |
| IFBench | – | 76.6% |
| AA-LCR | 79.7% | 80.7% |
| AA-Omniscience | 42.4 | 9.2 |
| Terminal-Bench Hard | – | 43.9% |
| GPQA Diamond (AA) | – | 88.8% |
| Humanity's Last Exam (AA) | 57.1% | 30.8% |
| SciCode (AA) | 61.8% | – |
| τ²-Bench Telecom (AA) | – | 95.9% |
| IOI | 100.0% | – |
| LegalBench | 88.3% | – |
| CorpFin | – | 66.5% |
| SWE-bench (Vals) | – | 72.8% |
| Vals Index | 68.9 | – |
| CritPt | 27.1% | 3.7% |
| GDPval-AA v2.1 | 56.3% | – |
| BioMysteryBench | 76.3% | – |
| CaseLaw v2 | – | 47.9% |
| Code Migration | 68.2% | – |
| CUA-bench | 4.8% | – |
| CyberBench | 77.9% | – |
| Excel Modeling Benchmark | 75.2% | – |
| Finance Agent v2 | 65.4% | – |
| Harvey's Legal Agent Benchmark | 19.6% | – |
| Legal Research Bench | 54.8% | – |
| MedCode | 58.8% | – |
| MedScribe | 87.4% | – |
| MysteryMechanism | 45.5% | – |
| ProgramBench | 2.5% | – |
| Public Benefits Bench | 69.8% | – |
| SAGE | 53.6% | – |
| SREBench | 44.3% | – |
| Tax Agent Bench | 76.2% | – |
| Terminal-Bench 2.0 (Vals) | – | 51.7% |
| Terminal-Bench 4.0 (Vals) | 57.6% | – |
| Terminal-Bench Science | 44.3% | – |
| Vibe Code Bench v1.1 | 91.9% | – |
| LMArena Maths | 1528 | 1476 |
| LMArena Creative Writing | 1519 | 1437 |
| LMArena Instruction Following | 1529 | 1451 |
| LMArena Multi-turn | 1553 | 1469 |
| LMArena Longer Queries | 1545 | 1473 |
| Chess Puzzles | – | 20.0% |
| LMCA | – | 42.5% |
| DTBench | – | 87.2% |
| Vending-Bench 2 | – | 4254.2 |
| FrontierSWE | 55.0% | – |
| Terminal-Bench 4.0 (AA) | 57.1% | – |
| AutomationBench | 77.5% | – |
| GDP.pdf | 21.8% | – |
| AA-Omniscience: accuracy | 49.9% | 37.9% |
| AA-Omniscience: non-hallucination | 84.9% | 53.8% |
| AA-Briefcase v1.1 | 1488 | – |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
Gemini 4 Argon vs Qwen3.6 Max: questions
- Is Gemini 4 Argon better than Qwen3.6 Max?
- Gemini 4 Argon (high) leads on quality: 70.0 vs 62.5. The BenchLeader Index combines every independent quality benchmark; Gemini 4 Argon (high) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is Gemini 4 Argon better than Qwen3.6 Max for coding?
- Gemini 4 Argon scores higher in coding (72 vs 57 on the category index, where 50 is average).
- Is Gemini 4 Argon better than Qwen3.6 Max for agentic tasks?
- Qwen3.6 Max scores higher in agentic tasks (72 vs 68 on the category index, where 50 is average).
- Which is cheaper, Gemini 4 Argon or Qwen3.6 Max?
- Qwen3.6 Max is cheaper: $2.92 against $4.00 per million tokens, blended at three input tokens per output token.
- Which has the larger context window?
- Gemini 4 Argon accepts more context: 1M against 262k tokens.