Model comparison
Gemini 1.5 Flash 8B vs GPT-5.3 Chat
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Gemini 1.5 Flash 8B scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.3 Chat leads 38.2 to 14.2.
Side by side
| Gemini 1.5 Flash 8B | GPT-5.3 Chat | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.9 | 42.8 |
| Released | 2024-10-03 | 2026-03-03 |
| Weights | Proprietary | Proprietary |
| Context window | — | 128K |
| Max output | — | 16K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 21 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.3 Chat leads
Gemini 1.5 Flash 8B: 35.5 (#225), GPT-5.3 Chat: 41.4 (#124)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1218 | 1408 |
Reasoning GPT-5.3 Chat leads
Gemini 1.5 Flash 8B: 20.0 (#244), GPT-5.3 Chat: 28.5 (#102)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1209 | 1399 |
| DTBench | 50% | — |
Math GPT-5.3 Chat leads
Gemini 1.5 Flash 8B: 14.2 (#302), GPT-5.3 Chat: 38.2 (#142)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1207 | 1389 |
| OTIS Mock AIME 2024-2025 | 4.6% | — |
Knowledge GPT-5.3 Chat leads
Gemini 1.5 Flash 8B: 16.0 (#289), GPT-5.3 Chat: 38.8 (#140)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1185 | 1397 |
| GPQA Diamond | 33% | — |
Multimodal Not comparable
Gemini 1.5 Flash 8B: 28.2 (#115), GPT-5.3 Chat: —
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Chat |
|---|---|---|
| LMArena Vision | 1044 | — |
Multilingual GPT-5.3 Chat leads
Gemini 1.5 Flash 8B: 38.5 (#229), GPT-5.3 Chat: 50.3 (#124)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1215 | 1382 |
| LMArena Chinese | 1231 | 1432 |
| LMArena French | 1234 | 1397 |
| LMArena German | 1206 | 1384 |
| LMArena Japanese | 1150 | 1352 |
| LMArena Korean | 1140 | 1346 |
| LMArena Russian | 1236 | 1400 |
| LMArena Spanish | 1212 | 1371 |
Instruction Following GPT-5.3 Chat leads
Gemini 1.5 Flash 8B: 62.8 (#236), GPT-5.3 Chat: 72.8 (#129)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1199 | 1378 |
Long Context GPT-5.3 Chat leads
Gemini 1.5 Flash 8B: 37.0 (#225), GPT-5.3 Chat: 42.6 (#120)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1219 | 1396 |
Writing & Preference GPT-5.3 Chat leads
Gemini 1.5 Flash 8B: 42.8 (#232), GPT-5.3 Chat: 63.1 (#68)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1226 | 1389 |
| LMArena Creative Writing | 1218 | 1355 |
| LMArena Multi-Turn | 1185 | 1412 |
| EQ-Bench Creative Writing | — | 1690 |
Frequently asked questions
Is Gemini 1.5 Flash 8B better than GPT-5.3 Chat?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 29.9 on the Noometry Index.
Is Gemini 1.5 Flash 8B or GPT-5.3 Chat better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 35.5 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash 8B and GPT-5.3 Chat share?
17 benchmarks have published results for both models. Gemini 1.5 Flash 8B has 21 scored results on Noometry and GPT-5.3 Chat has 18.