Model comparison
Gemma 2 2b IT vs GPT-5-Codex
GPT-5-Codex is the stronger model overall, scoring 37.9 to 33.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in coding, where GPT-5-Codex leads 42.4 to 32.3.
- Gemma 2 2b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 2b IT | GPT-5-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 33.1 | 37.9 |
| Released | — | 2025-09-15 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 17 | 3 |
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Category by category
Coding GPT-5-Codex leads
Gemma 2 2b IT: 32.3 (#273), GPT-5-Codex: 42.4 (#103)
| Benchmark | Gemma 2 2b IT | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| LMArena Coding | 1112 | — |
Agentic & Tool Use Not comparable
Gemma 2 2b IT: —, GPT-5-Codex: 31.0 (#72)
| Benchmark | Gemma 2 2b IT | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
Gemma 2 2b IT: 21.4 (#224), GPT-5-Codex: 30.9 (#83)
| Benchmark | Gemma 2 2b IT | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| LMArena Hard Prompts | 1113 | — |
Math Not comparable
Gemma 2 2b IT: 32.6 (#212), GPT-5-Codex: —
| Benchmark | Gemma 2 2b IT | GPT-5-Codex |
|---|---|---|
| LMArena Math | 1135 | — |
Knowledge Not comparable
Gemma 2 2b IT: 29.9 (#231), GPT-5-Codex: —
| Benchmark | Gemma 2 2b IT | GPT-5-Codex |
|---|---|---|
| LMArena Expert | 1096 | — |
Multilingual Not comparable
Gemma 2 2b IT: 32.3 (#257), GPT-5-Codex: —
| Benchmark | Gemma 2 2b IT | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1121 | — |
| LMArena Chinese | 1132 | — |
| LMArena French | 1157 | — |
| LMArena German | 1114 | — |
| LMArena Japanese | 1083 | — |
| LMArena Korean | 1055 | — |
| LMArena Russian | 1118 | — |
| LMArena Spanish | 1140 | — |
Instruction Following Not comparable
Gemma 2 2b IT: 57.8 (#263), GPT-5-Codex: —
| Benchmark | Gemma 2 2b IT | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 1118 | — |
Long Context Not comparable
Gemma 2 2b IT: 34.3 (#250), GPT-5-Codex: —
| Benchmark | Gemma 2 2b IT | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1130 | — |
Writing & Preference Not comparable
Gemma 2 2b IT: 36.5 (#263), GPT-5-Codex: —
| Benchmark | Gemma 2 2b IT | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1156 | — |
| LMArena Creative Writing | 1147 | — |
| LMArena Multi-Turn | 1118 | — |
Frequently asked questions
Is Gemma 2 2b IT better than GPT-5-Codex?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 33.1 on the Noometry Index.
Is Gemma 2 2b IT or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 32.3 in the Noometry coding category.
How many benchmarks do Gemma 2 2b IT and GPT-5-Codex share?
0 benchmarks have published results for both models. Gemma 2 2b IT has 17 scored results on Noometry and GPT-5-Codex has 3.