Model comparison
Gemini 4 Argon vs GPT-5.2
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 54.1 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. Gemini 4 Argon scores higher in 7 categories and GPT-5.2 in 3 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.2 leads 59.3 to 43.9.
- The biggest single-benchmark swing is ProofBench: 99% for Gemini 4 Argon and 15% for GPT-5.2.
Side by side
| Gemini 4 Argon | GPT-5.2 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 56.5 | 54.1 |
| Released | 2026-09-30 | 2025-12-11 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 21 | 67 |
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Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), GPT-5.2: 51.6 (#37)
| Benchmark | Gemini 4 Argon | GPT-5.2 |
|---|---|---|
| LMArena WebDev | 1678 | 1416 |
| LMArena Coding | 1550 | 1447 |
| SWE-bench Verified | — | 73.8% |
| SWE-bench Verified (bash only) | — | 72.8% |
| SWE-bench Multilingual | — | 66.7% |
| FrontierSWE | 55% | — |
| SciCode | 61.8% | — |
| GSO | — | 27.4% |
| WeirdML | — | 72.2% |
| ALE-Bench | — | 1,294 |
| AlgoTune | — | 2.05 |
Agentic & Tool Use Gemini 4 Argon leads
Gemini 4 Argon: 49.2 (#8), GPT-5.2: 40.2 (#24)
| Benchmark | Gemini 4 Argon | GPT-5.2 |
|---|---|---|
| Vending-Bench 2 | 13,718 | 3,591 |
| Terminal-Bench | — | 64.9% |
| APEX-Agents | 82.2% | — |
| Berkeley Function Calling Leaderboard | — | 55.9% |
| GDPval | — | 49.7% |
| Remote Labor Index | — | 2.5% |
| τ²-bench Airline | — | 83% |
| τ²-bench Banking | — | 32.2% |
| τ²-bench Retail | — | 81.6% |
| τ²-bench Telecom | — | 89.7% |
| DeepResearch Bench | — | 41.1% |
| LMArena Search | — | 1207 |
| METR Time Horizons | — | 75.3% |
Reasoning GPT-5.2 leads
Gemini 4 Argon: 44.2 (#47), GPT-5.2: 50.2 (#35)
| Benchmark | Gemini 4 Argon | GPT-5.2 |
|---|---|---|
| LMArena Hard Prompts | 1548 | 1445 |
| ARC-AGI-2 | — | 52.9% |
| SimpleBench | — | 45.8% |
| Kagi LLM Benchmark | — | 73.3% |
| NYT Connections (extended) | — | 83.6% |
| ARC-AGI-1 | — | 86.2% |
| CritPt | 27.1% | — |
| Chess Puzzles | — | 49% |
| EnigmaEval | — | 10.4% |
| EBR-Bench | — | 23% |
| Mystery Game Puzzles | — | 23% |
| DTBench | — | 90.9% |
| LMCA | — | 43.9% |
| Epoch Capabilities Index | — | 153.45 |
| ForecastBench | — | 60.1 |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), GPT-5.2: 60.0 (#38)
| Benchmark | Gemini 4 Argon | GPT-5.2 |
|---|---|---|
| ProofBench | 99% | 15% |
| LMArena Math | 1536 | 1440 |
| FrontierMath (Tiers 1-3) | — | 67.4% |
| FrontierMath Tier 4 | — | 31.7% |
| MathArena Final-Answer Competitions | — | 72% |
| OTIS Mock AIME 2024-2025 | — | 96.1% |
| FrontierMath (Feb 2025 set) | — | 40.7% |
| FrontierMath Tier 4 (v1) | — | 18.8% |
Knowledge GPT-5.2 leads
Gemini 4 Argon: 43.9 (#89), GPT-5.2: 59.3 (#32)
| Benchmark | Gemini 4 Argon | GPT-5.2 |
|---|---|---|
| LMArena Expert | 1553 | 1445 |
| GPQA Diamond | — | 91.4% |
| Humanity's Last Exam | — | 27.8% |
| SimpleQA Verified | — | 37.1% |
| Vectara Hallucination Rate | — | 8.4% |
Multimodal GPT-5.2 leads
Gemini 4 Argon: 46.5 (#14), GPT-5.2: 51.3 (#7)
| Benchmark | Gemini 4 Argon | GPT-5.2 |
|---|---|---|
| LMArena Vision | — | 1268 |
| VPCT | — | 84% |
| Blueprint-Bench 2 | 54.4% | — |
| Furniture Assembly | — | 38.3% |
| LMArena Document | — | 1405 |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), GPT-5.2: 53.4 (#67)
| Benchmark | Gemini 4 Argon | GPT-5.2 |
|---|---|---|
| LMArena Non-English | 1523 | 1425 |
| LMArena Chinese | 1610 | 1460 |
| LMArena Russian | 1537 | 1440 |
| LMArena Spanish | 1497 | 1433 |
| LMArena French | — | 1455 |
| LMArena German | — | 1448 |
| LMArena Japanese | — | 1420 |
| LMArena Korean | — | 1392 |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), GPT-5.2: 74.7 (#89)
| Benchmark | Gemini 4 Argon | GPT-5.2 |
|---|---|---|
| LMArena Instruction Following | 1538 | 1417 |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), GPT-5.2: 44.0 (#78)
| Benchmark | Gemini 4 Argon | GPT-5.2 |
|---|---|---|
| LMArena Longer Query | 1549 | 1428 |
| CL-bench | — | 18.2% |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), GPT-5.2: 66.8 (#32)
| Benchmark | Gemini 4 Argon | GPT-5.2 |
|---|---|---|
| LMArena Text | 1534 | 1439 |
| LMArena Creative Writing | 1531 | 1401 |
| LMArena Multi-Turn | 1557 | 1458 |
| EQ-Bench Creative Writing | — | 1703 |
Frequently asked questions
Is Gemini 4 Argon better than GPT-5.2?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 54.1 on the Noometry Index.
Is Gemini 4 Argon or GPT-5.2 better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 51.6 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and GPT-5.2 share?
16 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and GPT-5.2 has 67.