Model comparison
Gemini 4 Argon vs GPT-3.5-turbo
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 23.2 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Gemini 4 Argon scores higher in 8 categories and GPT-3.5-turbo in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 4 Argon leads 73.9 to 6.3.
Side by side
| Gemini 4 Argon | GPT-3.5-turbo | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 56.5 | 23.2 |
| Released | 2026-09-30 | 2023-03-01 |
| Weights | Proprietary | Proprietary |
| Context window | — | 16K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $1.50 |
| Results tracked | 21 | 44 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemini 4 Argon leads
Gemini 4 Argon: 62.0 (#9), GPT-3.5-turbo: 23.9 (#331)
| Benchmark | Gemini 4 Argon | GPT-3.5-turbo |
|---|---|---|
| LMArena Coding | 1550 | 1136 |
| LMArena WebDev | 1678 | — |
| FrontierSWE | 55% | — |
| SciCode | 61.8% | — |
| WeirdML | — | 3.5% |
| BigCodeBench Instruct | — | 39.1% |
| BigCodeBench Complete | — | 50.6% |
| HumanEval+ | — | 70.7% |
| MBPP+ | — | 69.7% |
Agentic & Tool Use Not comparable
Gemini 4 Argon: 49.2 (#8), GPT-3.5-turbo: —
| Benchmark | Gemini 4 Argon | GPT-3.5-turbo |
|---|---|---|
| APEX-Agents | 82.2% | — |
| METR Time Horizons | — | 21.5% |
| Vending-Bench 2 | 13,718 | — |
Reasoning Gemini 4 Argon leads
Gemini 4 Argon: 44.2 (#47), GPT-3.5-turbo: 13.8 (#332)
| Benchmark | Gemini 4 Argon | GPT-3.5-turbo |
|---|---|---|
| LMArena Hard Prompts | 1548 | 1108 |
| CritPt | 27.1% | — |
| Chess Puzzles | — | 0% |
| Mystery Game Puzzles | — | 3% |
| DTBench | — | 48.5% |
| LMCA | — | 9.7% |
| Adversarial NLI | — | 58.1% |
| BIG-Bench Hard | — | 61.6% |
| CommonsenseQA 2.0 | — | 57% |
| Epoch Capabilities Index | — | 118.55 |
| ForecastBench | — | 50.4 |
| WinoGrande | — | 81.6% |
Math Gemini 4 Argon leads
Gemini 4 Argon: 73.9 (#17), GPT-3.5-turbo: 6.3 (#327)
| Benchmark | Gemini 4 Argon | GPT-3.5-turbo |
|---|---|---|
| LMArena Math | 1536 | 1142 |
| FrontierMath (Tiers 1-3) | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 2.2% |
| ProofBench | 99% | — |
| MATH Level 5 | — | 15.9% |
| GSM8K | — | 57.8% |
Knowledge Gemini 4 Argon leads
Gemini 4 Argon: 43.9 (#89), GPT-3.5-turbo: 10.0 (#303)
| Benchmark | Gemini 4 Argon | GPT-3.5-turbo |
|---|---|---|
| LMArena Expert | 1553 | 1070 |
| GPQA Diamond | — | 28% |
| ARC (AI2) Challenge | — | 87.4% |
| BoolQ | — | 87% |
| MMLU | — | 71.4% |
| OpenBookQA | — | 86% |
| TriviaQA | — | 85.8% |
Multimodal Not comparable
Gemini 4 Argon: 46.5 (#14), GPT-3.5-turbo: —
| Benchmark | Gemini 4 Argon | GPT-3.5-turbo |
|---|---|---|
| Blueprint-Bench 2 | 54.4% | — |
Multilingual Gemini 4 Argon leads
Gemini 4 Argon: 60.3 (#1), GPT-3.5-turbo: 31.5 (#258)
| Benchmark | Gemini 4 Argon | GPT-3.5-turbo |
|---|---|---|
| LMArena Non-English | 1523 | 1108 |
| LMArena Chinese | 1610 | 1075 |
| LMArena Russian | 1537 | 1123 |
| LMArena Spanish | 1497 | 1121 |
| LMArena French | — | 1118 |
| LMArena German | — | 1090 |
| LMArena Japanese | — | 1043 |
| LMArena Korean | — | 1019 |
Instruction Following Gemini 4 Argon leads
Gemini 4 Argon: 80.1 (#2), GPT-3.5-turbo: 57.9 (#262)
| Benchmark | Gemini 4 Argon | GPT-3.5-turbo |
|---|---|---|
| LMArena Instruction Following | 1538 | 1119 |
Long Context Gemini 4 Argon leads
Gemini 4 Argon: 47.6 (#15), GPT-3.5-turbo: 34.0 (#254)
| Benchmark | Gemini 4 Argon | GPT-3.5-turbo |
|---|---|---|
| LMArena Longer Query | 1549 | 1121 |
Writing & Preference Gemini 4 Argon leads
Gemini 4 Argon: 71.4 (#19), GPT-3.5-turbo: 25.3 (#305)
| Benchmark | Gemini 4 Argon | GPT-3.5-turbo |
|---|---|---|
| LMArena Text | 1534 | 1125 |
| LMArena Creative Writing | 1531 | 1092 |
| LMArena Multi-Turn | 1557 | 1117 |
| EQ-Bench Creative Writing | — | 451 |
Frequently asked questions
Is Gemini 4 Argon better than GPT-3.5-turbo?
Gemini 4 Argon is the stronger model overall, scoring 56.5 to 23.2 on the Noometry Index.
Is Gemini 4 Argon or GPT-3.5-turbo better for coding?
Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 23.9 in the Noometry coding category.
How many benchmarks do Gemini 4 Argon and GPT-3.5-turbo share?
13 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and GPT-3.5-turbo has 44.