Gemini 4 Argon vs GPT-5.6 Terra
Verdict
- Gemini 4 Argon (high) leads on quality: 70.0 vs 63.7.
- Gemini 4 Argon (high) is stronger in agents & tools, coding, composite, human preference, knowledge, maths, reasoning.
- GPT-5.6 Terra (max) is stronger in long context, instruction following, multimodal.
- They cost about the same ($4.00 per 1M blended).
| Metric | Gemini 4 Argon (high) | GPT-5.6 Terra (max) |
|---|---|---|
| BenchLeader Index | 70.0 | 63.7 |
| Agents & tools score | 67.5 | 58.8 |
| Coding score | 72.1 | 64.7 |
| Composite score | 89.2 | 68.1 |
| Human preference score | 73.2 | – |
| Knowledge score | 75.7 | 57.5 |
| Long context score | 65.0 | 66.8 |
| Maths score | 71.9 | 69.3 |
| Reasoning score | 82.0 | 70.4 |
| Instruction following score | – | 69.8 |
| Multimodal score | – | 63.9 |
| Blended price $/M | $4.00 | $4.50 |
| Output speed | – | 108 tok/s |
| Time to first answer | – | 113.7 s |
| Context window | 1M | 1.1M |
| GPQA Diamond | – | 93.3% |
| FrontierMath Tiers 1–3 | – | 86.0% |
| FrontierMath Tier 4 | – | 70.7% |
| OTIS Mock AIME | – | 99.7% |
| SimpleQA Verified | – | 43.2% |
| Terminal-Bench | – | 21.5% |
| SciCode | 61.8% | 55.0% |
| APEX-Agents | – | 58.2% |
| LMArena Text | 1525 | – |
| LMArena Hard Prompts | 1551 | – |
| LMArena Coding | 1562 | – |
| LMArena WebDev | 1678 | – |
| LMArena Agent | 9.3 | – |
| LiveBench | – | 77.9% |
| LiveBench Reasoning | – | 90.6% |
| LiveBench Coding | – | 78.3% |
| LiveBench Agentic Coding | – | 55.0% |
| LiveBench Mathematics | – | 94.9% |
| LiveBench Data Analysis | – | 79.3% |
| LiveBench Language | – | 82.9% |
| LiveBench Instruction Following | – | 64.6% |
| AA Intelligence Index v4.3.2 | 52.6 | 42.1 |
| IFBench | – | 71.2% |
| AA-LCR | 79.7% | 83.0% |
| MMMU-Pro | – | 80.7% |
| AA-Omniscience | 42.4 | 0.1 |
| Terminal-Bench Hard | – | 57.6% |
| GPQA Diamond (AA) | – | 92.5% |
| Humanity's Last Exam (AA) | 57.1% | 42.9% |
| SciCode (AA) | 61.8% | 55.0% |
| τ²-Bench Telecom (AA) | – | 86.3% |
| IOI | 100.0% | 87.6% |
| LegalBench | 88.3% | 85.1% |
| Terminal-Bench 2.1 (Vals) | – | 77.5% |
| SWE-bench (Vals) | – | 95.4% |
| Vals Index | 68.9 | 53.1 |
| ARC-AGI-1 | – | 96.5% |
| ARC-AGI-2 | – | 83.9% |
| ARC-AGI-3 | – | 0.8% |
| CritPt | 27.1% | 30.0% |
| GDPval-AA v2.1 | 56.3% | 47.7% |
| τ³-Banking (AA) | – | 40.2% |
| ITBench SRE (AA) | – | 51.0% |
| APEX-Agents (AA) | – | 38.9% |
| BioMysteryBench | 76.3% | – |
| Code Migration | 68.2% | 47.8% |
| CUA-bench | 4.8% | – |
| CyberBench | 77.9% | 72.1% |
| Excel Modeling Benchmark | 75.2% | 66.2% |
| Finance Agent v2 | 65.4% | 54.4% |
| Harvey's Legal Agent Benchmark | 19.6% | 0.8% |
| Legal Research Bench | 54.8% | 41.4% |
| MedCode | 58.8% | – |
| MedScribe | 87.4% | – |
| MMMU-Pro (Vals) | – | 86.5% |
| MysteryMechanism | 45.5% | – |
| ProgramBench | 2.5% | 0.5% |
| Public Benefits Bench | 69.8% | 62.4% |
| SAGE | 53.6% | 47.0% |
| SkillsBench | – | 58.9% |
| SREBench | 44.3% | – |
| Tax Agent Bench | 76.2% | 65.2% |
| Terminal-Bench 4.0 (Vals) | 57.6% | 22.7% |
| Terminal-Bench Science | 44.3% | 10.0% |
| Vibe Code Bench 1-100 | – | 14.8% |
| Vibe Code Bench v1.1 | 91.9% | 74.6% |
| LMArena Maths | 1528 | – |
| LMArena Creative Writing | 1519 | – |
| LMArena Instruction Following | 1529 | – |
| LMArena Multi-turn | 1553 | – |
| LMArena Longer Queries | 1545 | – |
| Chess Puzzles | – | 54.0% |
| Mystery Game Puzzles | – | 35.0% |
| BALROG | – | 53.2% |
| DeepSWE v1.1 | – | 69.6% |
| LMCA | – | 55.0% |
| DTBench | – | 93.3% |
| CursorBench | – | 41.3% |
| ALE-Bench | – | 1951.4 |
| FrontierSWE | 55.0% | – |
| Terminal-Bench 4.0 (AA) | 57.1% | 35.4% |
| Terminal-Bench 2.1 (AA) | – | 88.0% |
| AutomationBench | 77.5% | – |
| GDP.pdf | 21.8% | – |
| AA-Omniscience: accuracy | 49.9% | 46.8% |
| AA-Omniscience: non-hallucination | 84.9% | 12.1% |
| 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 Terra: questions
- Is Gemini 4 Argon better than GPT-5.6 Terra?
- Gemini 4 Argon (high) leads on quality: 70.0 vs 63.7. 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 Terra for coding?
- Gemini 4 Argon scores higher in coding (72 vs 65 on the category index, where 50 is average).
- Is Gemini 4 Argon better than GPT-5.6 Terra for agentic tasks?
- Gemini 4 Argon scores higher in agentic tasks (68 vs 59 on the category index, where 50 is average).
- Which is cheaper, Gemini 4 Argon or GPT-5.6 Terra?
- Gemini 4 Argon is cheaper: $4.00 against $4.50 per million tokens, blended at three input tokens per output token.
- Which has the larger context window?
- GPT-5.6 Terra accepts more context: 1.1M against 1M tokens.