Claude Sonnet 5.5 vs Gemini 4 Argon
Claude Sonnet 5.5 
Gemini 4 Argon Verdict
- Gemini 4 Argon (high) leads on quality: 70.0 vs 67.6.
- Claude Sonnet 5.5 (max) is stronger in agents & tools, long context, maths.
- Gemini 4 Argon (high) is stronger in coding, composite, knowledge, reasoning, human preference.
- They cost about the same ($4.00 per 1M blended).
| Metric | Claude Sonnet 5.5 (max) | Gemini 4 Argon (high) |
|---|---|---|
| BenchLeader Index | 67.6 | 70.0 |
| Agents & tools score | 69.5 | 67.5 |
| Coding score | 69.8 | 72.1 |
| Composite score | 72.6 | 89.2 |
| Knowledge score | 65.4 | 75.7 |
| Long context score | 66.6 | 65.0 |
| Maths score | 72.9 | 71.9 |
| Reasoning score | 81.1 | 82.0 |
| Human preference score | – | 73.2 |
| Blended price $/M | $4.00 | $4.00 |
| Output speed | 141 tok/s | – |
| Time to first answer | 487.1 s | – |
| Context window | 1M | 1M |
| GPQA Diamond | 95.6% | – |
| FrontierMath Tiers 1–3 | 88.8% | – |
| FrontierMath Tier 4 | 80.5% | – |
| OTIS Mock AIME | 100.0% | – |
| SimpleQA Verified | 46.5% | – |
| Terminal-Bench | 61.8% | – |
| SciCode | 61.0% | 61.8% |
| APEX-Agents | 75.5% | – |
| ProofBench | 100.0% | – |
| LMArena Text | – | 1525 |
| LMArena Hard Prompts | – | 1551 |
| LMArena Coding | – | 1562 |
| LMArena WebDev | – | 1678 |
| LMArena Agent | 12 | 9.3 |
| LiveBench | 75.7% | – |
| LiveBench Reasoning | 91.6% | – |
| LiveBench Coding | 91.4% | – |
| LiveBench Agentic Coding | 56.3% | – |
| LiveBench Mathematics | 96.1% | – |
| LiveBench Data Analysis | 59.5% | – |
| LiveBench Language | 78.0% | – |
| LiveBench Instruction Following | 56.8% | – |
| AA Intelligence Index v4.3.2 | 56 | 52.6 |
| AA-LCR | 82.7% | 79.7% |
| AA-Omniscience | 32.3 | 42.4 |
| Humanity's Last Exam (AA) | 55.0% | 57.1% |
| SciCode (AA) | 61.0% | 61.8% |
| IOI | – | 100.0% |
| LegalBench | – | 88.3% |
| Vals Index | – | 68.9 |
| CritPt | 31.4% | 27.1% |
| GDPval-AA v2.1 | 67.0% | 56.3% |
| Analyst Agent (AA) | 57.5% | – |
| 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 |
| LMArena Creative Writing | – | 1519 |
| LMArena Instruction Following | – | 1529 |
| LMArena Multi-turn | – | 1553 |
| LMArena Longer Queries | – | 1545 |
| Mystery Game Puzzles | 65.0% | – |
| CursorBench | 55.5% | – |
| FrontierSWE | 61.9% | 55.0% |
| Terminal-Bench 4.0 (AA) | 63.6% | 57.1% |
| AutomationBench | 71.8% | 77.5% |
| GDP.pdf | 25.8% | 21.8% |
| MLCR | 75.0% | – |
| Harvey LAB | 2.8% | – |
| AA-Omniscience: accuracy | 54.0% | 49.9% |
| AA-Omniscience: non-hallucination | 53.0% | 84.9% |
| AA-Briefcase v1.1 | 1823 | 1488 |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
Claude Sonnet 5.5 vs Gemini 4 Argon: questions
- Is Claude Sonnet 5.5 better than Gemini 4 Argon?
- Gemini 4 Argon (high) leads on quality: 70.0 vs 67.6. 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 Claude Sonnet 5.5 better than Gemini 4 Argon for coding?
- Gemini 4 Argon scores higher in coding (72 vs 70 on the category index, where 50 is average).
- Is Claude Sonnet 5.5 better than Gemini 4 Argon for agentic tasks?
- Claude Sonnet 5.5 scores higher in agentic tasks (70 vs 68 on the category index, where 50 is average).
- Which is cheaper, Claude Sonnet 5.5 or Gemini 4 Argon?
- Claude Sonnet 5.5 is cheaper: $4.00 against $4.00 per million tokens, blended at three input tokens per output token.
- Which has the larger context window?
- Both accept 1M tokens of context.