Model comparison
Gemini 1.0 Pro vs GPT-5-Codex
GPT-5-Codex is the stronger model overall, scoring 37.9 to 27.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 17.1.
Side by side
| Gemini 1.0 Pro | GPT-5-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 27.3 | 37.9 |
| Released | 2023-12-13 | 2025-09-15 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 24 | 3 |
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Category by category
Coding GPT-5-Codex leads
Gemini 1.0 Pro: 32.2 (#275), GPT-5-Codex: 42.4 (#103)
| Benchmark | Gemini 1.0 Pro | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| LMArena Coding | 1108 | — |
| HumanEval+ | 55.5% | — |
| MBPP+ | 61.4% | — |
Agentic & Tool Use Not comparable
Gemini 1.0 Pro: —, GPT-5-Codex: 31.0 (#72)
| Benchmark | Gemini 1.0 Pro | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
Gemini 1.0 Pro: 17.1 (#296), GPT-5-Codex: 30.9 (#83)
| Benchmark | Gemini 1.0 Pro | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| LMArena Hard Prompts | 1109 | — |
| DTBench | 45.9% | — |
| Epoch Capabilities Index | 117.04 | — |
Math Not comparable
Gemini 1.0 Pro: 9.3 (#321), GPT-5-Codex: —
| Benchmark | Gemini 1.0 Pro | GPT-5-Codex |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| LMArena Math | 1132 | — |
| MATH Level 5 | 11.2% | — |
Knowledge Not comparable
Gemini 1.0 Pro: 15.6 (#291), GPT-5-Codex: —
| Benchmark | Gemini 1.0 Pro | GPT-5-Codex |
|---|---|---|
| GPQA Diamond | 34% | — |
| LMArena Expert | 1059 | — |
| MMLU | 70% | — |
Multilingual Not comparable
Gemini 1.0 Pro: 33.4 (#252), GPT-5-Codex: —
| Benchmark | Gemini 1.0 Pro | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1138 | — |
| LMArena Chinese | 1124 | — |
| LMArena French | 1145 | — |
| LMArena German | 1125 | — |
| LMArena Japanese | 1023 | — |
| LMArena Russian | 1186 | — |
| LMArena Spanish | 1119 | — |
Instruction Following Not comparable
Gemini 1.0 Pro: 57.6 (#267), GPT-5-Codex: —
| Benchmark | Gemini 1.0 Pro | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 1114 | — |
Long Context Not comparable
Gemini 1.0 Pro: 34.3 (#249), GPT-5-Codex: —
| Benchmark | Gemini 1.0 Pro | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1132 | — |
Writing & Preference Not comparable
Gemini 1.0 Pro: 36.0 (#264), GPT-5-Codex: —
| Benchmark | Gemini 1.0 Pro | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1149 | — |
| LMArena Creative Writing | 1131 | — |
| LMArena Multi-Turn | 1139 | — |
Frequently asked questions
Is Gemini 1.0 Pro better than GPT-5-Codex?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 27.3 on the Noometry Index.
Is Gemini 1.0 Pro or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 32.2 in the Noometry coding category.
How many benchmarks do Gemini 1.0 Pro and GPT-5-Codex share?
0 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and GPT-5-Codex has 3.