Model comparison
Gemma 2B vs GPT-5-Codex
GPT-5-Codex is the stronger model overall, scoring 37.9 to 29.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in coding, where GPT-5-Codex leads 42.4 to 29.4.
- Gemma 2B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2B | GPT-5-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.6 | 37.9 |
| Released | 2024-02-21 | 2025-09-15 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 23 | 3 |
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Category by category
Coding GPT-5-Codex leads
Gemma 2B: 29.4 (#305), GPT-5-Codex: 42.4 (#103)
| Benchmark | Gemma 2B | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| LMArena Coding | 1010 | — |
| HumanEval+ | 20.7% | — |
| MBPP+ | 34.1% | — |
Agentic & Tool Use Not comparable
Gemma 2B: —, GPT-5-Codex: 31.0 (#72)
| Benchmark | Gemma 2B | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
Gemma 2B: 18.8 (#275), GPT-5-Codex: 30.9 (#83)
| Benchmark | Gemma 2B | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| LMArena Hard Prompts | 989 | — |
| BIG-Bench Hard | 35.2% | — |
| Epoch Capabilities Index | 94.2 | — |
| HellaSwag | 71.4% | — |
| PIQA | 77.3% | — |
| WinoGrande | 65.4% | — |
Math Not comparable
Gemma 2B: 30.0 (#239), GPT-5-Codex: —
| Benchmark | Gemma 2B | GPT-5-Codex |
|---|---|---|
| LMArena Math | 1009 | — |
| GSM8K | 17.7% | — |
Knowledge Not comparable
Gemma 2B: —, GPT-5-Codex: —
| Benchmark | Gemma 2B | GPT-5-Codex |
|---|---|---|
| ARC (AI2) Challenge | 42.1% | — |
| BoolQ | 69.4% | — |
| MMLU | 42.3% | — |
| TriviaQA | 53.2% | — |
Multilingual Not comparable
Gemma 2B: 23.0 (#294), GPT-5-Codex: —
| Benchmark | Gemma 2B | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 958 | — |
| LMArena Chinese | 986 | — |
| LMArena Russian | 937 | — |
Instruction Following Not comparable
Gemma 2B: 48.5 (#302), GPT-5-Codex: —
| Benchmark | Gemma 2B | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 970 | — |
Long Context Not comparable
Gemma 2B: 29.9 (#291), GPT-5-Codex: —
| Benchmark | Gemma 2B | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 981 | — |
Writing & Preference Not comparable
Gemma 2B: 24.0 (#308), GPT-5-Codex: —
| Benchmark | Gemma 2B | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1002 | — |
| LMArena Creative Writing | 987 | — |
| LMArena Multi-Turn | 945 | — |
Frequently asked questions
Is Gemma 2B better than GPT-5-Codex?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 29.6 on the Noometry Index.
Is Gemma 2B or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 29.4 in the Noometry coding category.
How many benchmarks do Gemma 2B and GPT-5-Codex share?
0 benchmarks have published results for both models. Gemma 2B has 23 scored results on Noometry and GPT-5-Codex has 3.