Gemini 4 Argon vs GPT-5.6 Luna
Verdict
- Gemini 4 Argon (high) leads on quality: 70.0 vs 59.6.
- Gemini 4 Argon (high) is stronger in agents & tools, coding, composite, human preference, knowledge, maths, reasoning.
- GPT-5.6 Luna (xhigh) is stronger in long context, multimodal.
- GPT-5.6 Luna (xhigh) is 8.9× cheaper ($0.450 vs $4.00 per 1M blended).
| Metric | Gemini 4 Argon (high) | GPT-5.6 Luna (xhigh) |
|---|---|---|
| BenchLeader Index | 70.0 | 59.6 |
| Agents & tools score | 67.5 | 52.9 |
| Coding score | 72.1 | 57.6 |
| Composite score | 89.2 | 68.7 |
| Human preference score | 73.2 | 64.2 |
| Knowledge score | 75.7 | 56.8 |
| Long context score | 65.0 | 66.1 |
| Maths score | 71.9 | 66.3 |
| Reasoning score | 82.0 | 58.0 |
| Multimodal score | – | 60.5 |
| Blended price $/M | $4.00 | $0.450 |
| Output speed | – | 111 tok/s |
| Time to first answer | – | 52.9 s |
| Context window | 1M | 1.1M |
| SimpleBench | – | 46.8% |
| SciCode | 61.8% | 50.0% |
| LMArena Text | 1525 | 1452 |
| LMArena Hard Prompts | 1551 | 1474 |
| LMArena Coding | 1562 | 1501 |
| LMArena WebDev | 1678 | 1519 |
| LMArena Vision | – | 1258 |
| LMArena Agent | 9.3 | -1.5 |
| AA Intelligence Index v4.3.2 | 52.6 | 34.6 |
| AA-LCR | 79.7% | 81.7% |
| MMMU-Pro | – | 78.5% |
| AA-Omniscience | 42.4 | -10.8 |
| GPQA Diamond (AA) | – | 89.5% |
| Humanity's Last Exam (AA) | 57.1% | 37.0% |
| SciCode (AA) | 61.8% | 50.5% |
| IOI | 100.0% | – |
| LegalBench | 88.3% | – |
| Vals Index | 68.9 | – |
| ARC-AGI-1 | – | 87.7% |
| ARC-AGI-2 | – | 47.6% |
| ARC-AGI-3 | – | 0.0% |
| CritPt | 27.1% | 20.6% |
| GDPval-AA v2.1 | 56.3% | 45.0% |
| τ³-Banking (AA) | – | 28.7% |
| BioMysteryBench | 76.3% | – |
| 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 4.0 (Vals) | 57.6% | – |
| Terminal-Bench Science | 44.3% | – |
| Vibe Code Bench v1.1 | 91.9% | – |
| LMArena Maths | 1528 | 1477 |
| LMArena Creative Writing | 1519 | 1410 |
| LMArena Instruction Following | 1529 | 1443 |
| LMArena Multi-turn | 1553 | 1457 |
| LMArena Longer Queries | 1545 | 1452 |
| LMArena Document | – | 1462 |
| DeepSWE v1.1 | – | 56.9% |
| LMCA | – | 48.5% |
| DTBench | – | 89.1% |
| CursorBench | – | 33.0% |
| FrontierSWE | 55.0% | – |
| Terminal-Bench 4.0 (AA) | 57.1% | 3.5% |
| Terminal-Bench 2.1 (AA) | – | 77.9% |
| AutomationBench | 77.5% | – |
| GDP.pdf | 21.8% | – |
| AA-Omniscience: accuracy | 49.9% | 42.5% |
| AA-Omniscience: non-hallucination | 84.9% | 7.5% |
| 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 GPT-5.6 Luna: questions
- Is Gemini 4 Argon better than GPT-5.6 Luna?
- Gemini 4 Argon (high) leads on quality: 70.0 vs 59.6. 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 GPT-5.6 Luna for coding?
- Gemini 4 Argon scores higher in coding (72 vs 58 on the category index, where 50 is average).
- Is Gemini 4 Argon better than GPT-5.6 Luna for agentic tasks?
- Gemini 4 Argon scores higher in agentic tasks (68 vs 53 on the category index, where 50 is average).
- Which is cheaper, Gemini 4 Argon or GPT-5.6 Luna?
- GPT-5.6 Luna is cheaper: $0.450 against $4.00 per million tokens, blended at three input tokens per output token.
- Which has the larger context window?
- GPT-5.6 Luna accepts more context: 1.1M against 1M tokens.