Model comparison
Gemini 2.0 Flash-Lite vs GPT-5-Codex
Gemini 2.0 Flash-Lite and GPT-5-Codex score almost the same on the Noometry Index (37.8 vs 37.9), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 22.0.
Side by side
| Gemini 2.0 Flash-Lite | GPT-5-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.8 | 37.9 |
| Released | 2025-02-05 | 2025-09-15 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 32 | 3 |
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Category by category
Coding GPT-5-Codex leads
Gemini 2.0 Flash-Lite: 37.9 (#185), GPT-5-Codex: 42.4 (#103)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| LiveBench Coding | 47.1% | — |
| LMArena Coding | 1322 | — |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash-Lite: —, GPT-5-Codex: 31.0 (#72)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
Gemini 2.0 Flash-Lite: 22.0 (#210), GPT-5-Codex: 30.9 (#83)
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| LiveBench Reasoning | 50.1% | — |
| LMArena Hard Prompts | 1324 | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 65.5% | — |
| ForecastBench | 57.1 | — |
| LiveBench | 54.3% | — |
Math Not comparable
Gemini 2.0 Flash-Lite: 34.1 (#196), GPT-5-Codex: —
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5-Codex |
|---|---|---|
| Omni-MATH | 37.4% | — |
| LiveBench Math | 58.1% | — |
| LMArena Math | 1309 | — |
Knowledge Not comparable
Gemini 2.0 Flash-Lite: 35.0 (#189), GPT-5-Codex: —
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5-Codex |
|---|---|---|
| MMLU-Pro | 72% | — |
| GPQA (HELM) | 50% | — |
| LMArena Expert | 1305 | — |
Multimodal Not comparable
Gemini 2.0 Flash-Lite: 31.2 (#109), GPT-5-Codex: —
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5-Codex |
|---|---|---|
| LMArena Vision | 1100 | — |
Multilingual Not comparable
Gemini 2.0 Flash-Lite: 46.0 (#161), GPT-5-Codex: —
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1323 | — |
| LMArena Chinese | 1339 | — |
| LMArena French | 1347 | — |
| LMArena German | 1306 | — |
| LMArena Japanese | 1301 | — |
| LMArena Korean | 1325 | — |
| LMArena Russian | 1328 | — |
| LMArena Spanish | 1313 | — |
Instruction Following Not comparable
Gemini 2.0 Flash-Lite: 70.4 (#163), GPT-5-Codex: —
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5-Codex |
|---|---|---|
| LiveBench Instruction Following | 78.3% | — |
| IFEval | 82.4% | — |
| LMArena Instruction Following | 1305 | — |
Long Context Not comparable
Gemini 2.0 Flash-Lite: 40.1 (#160), GPT-5-Codex: —
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1320 | — |
Writing & Preference Not comparable
Gemini 2.0 Flash-Lite: 51.7 (#177), GPT-5-Codex: —
| Benchmark | Gemini 2.0 Flash-Lite | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1330 | — |
| LMArena Creative Writing | 1319 | — |
| WildBench | 79% | — |
| LMArena Multi-Turn | 1307 | — |
| LiveBench Language | 34.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than GPT-5-Codex?
Gemini 2.0 Flash-Lite and GPT-5-Codex score almost the same on the Noometry Index (37.8 vs 37.9), so choose on price, context window or the category you care about most.
Is Gemini 2.0 Flash-Lite or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 37.9 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash-Lite and GPT-5-Codex share?
0 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and GPT-5-Codex has 3.