Model comparison
Gemini 1.5 Flash 8B vs GPT-5.3 Codex
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 35.5.
Side by side
| Gemini 1.5 Flash 8B | GPT-5.3 Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.9 | 45.8 |
| Released | 2024-10-03 | 2026-02-05 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 21 | 8 |
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Category by category
Coding GPT-5.3 Codex leads
Gemini 1.5 Flash 8B: 35.5 (#225), GPT-5.3 Codex: 48.6 (#56)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Codex |
|---|---|---|
| SWE-bench Verified | — | 74.8% |
| LMArena WebDev | — | 1409 |
| WeirdML | — | 79.3% |
| LMArena Coding | 1218 | — |
| ALE-Bench | — | 1,655 |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash 8B: —, GPT-5.3 Codex: 48.0 (#9)
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | — | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |
Reasoning Not comparable
Gemini 1.5 Flash 8B: 20.0 (#244), GPT-5.3 Codex: —
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Codex |
|---|---|---|
| LMArena Hard Prompts | 1209 | — |
| DTBench | 50% | — |
| Epoch Capabilities Index | — | 156.77 |
Math Not comparable
Gemini 1.5 Flash 8B: 14.2 (#302), GPT-5.3 Codex: —
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Codex |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.6% | — |
| LMArena Math | 1207 | — |
Knowledge Not comparable
Gemini 1.5 Flash 8B: 16.0 (#289), GPT-5.3 Codex: —
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Codex |
|---|---|---|
| GPQA Diamond | 33% | — |
| LMArena Expert | 1185 | — |
Multimodal Not comparable
Gemini 1.5 Flash 8B: 28.2 (#115), GPT-5.3 Codex: —
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Codex |
|---|---|---|
| LMArena Vision | 1044 | — |
Multilingual Not comparable
Gemini 1.5 Flash 8B: 38.5 (#229), GPT-5.3 Codex: —
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Codex |
|---|---|---|
| LMArena Non-English | 1215 | — |
| LMArena Chinese | 1231 | — |
| LMArena French | 1234 | — |
| LMArena German | 1206 | — |
| LMArena Japanese | 1150 | — |
| LMArena Korean | 1140 | — |
| LMArena Russian | 1236 | — |
| LMArena Spanish | 1212 | — |
Instruction Following Not comparable
Gemini 1.5 Flash 8B: 62.8 (#236), GPT-5.3 Codex: —
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Codex |
|---|---|---|
| LMArena Instruction Following | 1199 | — |
Long Context Not comparable
Gemini 1.5 Flash 8B: 37.0 (#225), GPT-5.3 Codex: —
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Not comparable
Gemini 1.5 Flash 8B: 42.8 (#232), GPT-5.3 Codex: —
| Benchmark | Gemini 1.5 Flash 8B | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1226 | — |
| LMArena Creative Writing | 1218 | — |
| LMArena Multi-Turn | 1185 | — |
Frequently asked questions
Is Gemini 1.5 Flash 8B better than GPT-5.3 Codex?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.9 on the Noometry Index.
Is Gemini 1.5 Flash 8B or GPT-5.3 Codex better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 35.5 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash 8B and GPT-5.3 Codex share?
0 benchmarks have published results for both models. Gemini 1.5 Flash 8B has 21 scored results on Noometry and GPT-5.3 Codex has 8.