Model comparison
Gemini 2.5 Pro vs GPT-5-Codex
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 37.9 on the Noometry Index.
Last verified . 3 shared benchmarks.
GoogleSummary
- They share 3 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 1 category and GPT-5-Codex in 2 categories; 2 gaps are clear of the uncertainty.
- The biggest single-benchmark swing is Terminal-Bench: 32.6% for Gemini 2.5 Pro and 44.3% for GPT-5-Codex.
- Both cost about the same: $1.25 input and $10 output per million tokens.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 400K.
Side by side
| Gemini 2.5 Pro | GPT-5-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 45.0 | 37.9 |
| Released | 2025-03-25 | 2025-09-15 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 400K |
| Max output | 66K | 128K |
| Input $ / M tokens | $1.25 | $1.25 |
| Output $ / M tokens | $10 | $10 |
| Results tracked | 78 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Gemini 2.5 Pro: 42.4 (#101), GPT-5-Codex: 42.4 (#103)
| Benchmark | Gemini 2.5 Pro | GPT-5-Codex |
|---|---|---|
| WeirdML | 54% | 54.5% |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| LiveBench Coding | 85.9% | — |
| LMArena Coding | 1452 | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use GPT-5-Codex leads
Gemini 2.5 Pro: 29.2 (#88), GPT-5-Codex: 31.0 (#72)
| Benchmark | Gemini 2.5 Pro | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | 32.6% | 44.3% |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning GPT-5-Codex leads
Gemini 2.5 Pro: 28.8 (#99), GPT-5-Codex: 30.9 (#83)
| Benchmark | Gemini 2.5 Pro | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 70.3% |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| LMArena Hard Prompts | 1455 | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Not comparable
Gemini 2.5 Pro: 32.5 (#213), GPT-5-Codex: —
| Benchmark | Gemini 2.5 Pro | GPT-5-Codex |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| LMArena Math | 1450 | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Gemini 2.5 Pro: 56.0 (#46), GPT-5-Codex: —
| Benchmark | Gemini 2.5 Pro | GPT-5-Codex |
|---|---|---|
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
| LMArena Expert | 1452 | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), GPT-5-Codex: —
| Benchmark | Gemini 2.5 Pro | GPT-5-Codex |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Not comparable
Gemini 2.5 Pro: 55.3 (#31), GPT-5-Codex: —
| Benchmark | Gemini 2.5 Pro | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1451 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1472 | — |
| LMArena German | 1487 | — |
| LMArena Japanese | 1461 | — |
| LMArena Korean | 1434 | — |
| LMArena Russian | 1461 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Not comparable
Gemini 2.5 Pro: 75.0 (#75), GPT-5-Codex: —
| Benchmark | Gemini 2.5 Pro | GPT-5-Codex |
|---|---|---|
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
| LMArena Instruction Following | 1437 | — |
Long Context Not comparable
Gemini 2.5 Pro: 59.8 (#5), GPT-5-Codex: —
| Benchmark | Gemini 2.5 Pro | GPT-5-Codex |
|---|---|---|
| Fiction.LiveBench | 91.7% | — |
| LMArena Longer Query | 1449 | — |
Writing & Preference Not comparable
Gemini 2.5 Pro: 63.7 (#62), GPT-5-Codex: —
| Benchmark | Gemini 2.5 Pro | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1454 | — |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LMArena Multi-Turn | 1453 | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than GPT-5-Codex?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 37.9 on the Noometry Index.
Which is cheaper, Gemini 2.5 Pro or GPT-5-Codex?
GPT-5-Codex is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or GPT-5-Codex better for coding?
They score almost the same on coding (42.4 vs 42.4); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 400K.
How many benchmarks do Gemini 2.5 Pro and GPT-5-Codex share?
3 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and GPT-5-Codex has 3.