Model comparison
Gemma 7B vs GPT-5.2 Codex
GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 29.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in coding, where GPT-5.2 Codex leads 45.4 to 29.9.
- Gemma 7B has downloadable open weights; the other is API-only.
Side by side
| Gemma 7B | GPT-5.2 Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.5 | 42.2 |
| Released | 2024-02-21 | 2025-12-18 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 27 | 5 |
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Category by category
Coding GPT-5.2 Codex leads
Gemma 7B: 29.9 (#290), GPT-5.2 Codex: 45.4 (#66)
| Benchmark | Gemma 7B | GPT-5.2 Codex |
|---|---|---|
| SWE-bench Verified (bash only) | — | 72.8% |
| LMArena WebDev | — | 1339 |
| SWE-bench Multilingual | — | 66.3% |
| LMArena Coding | 1048 | — |
| ALE-Bench | — | 1,300 |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Agentic & Tool Use Not comparable
Gemma 7B: —, GPT-5.2 Codex: 40.7 (#20)
| Benchmark | Gemma 7B | GPT-5.2 Codex |
|---|---|---|
| Terminal-Bench | — | 66.5% |
Reasoning Not comparable
Gemma 7B: 19.0 (#247), GPT-5.2 Codex: —
| Benchmark | Gemma 7B | GPT-5.2 Codex |
|---|---|---|
| LMArena Hard Prompts | 1042 | — |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| Epoch Capabilities Index | 111.74 | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Not comparable
Gemma 7B: 28.7 (#225), GPT-5.2 Codex: —
| Benchmark | Gemma 7B | GPT-5.2 Codex |
|---|---|---|
| LMArena Math | 1066 | — |
| GSM8K | 46.4% | — |
Knowledge Not comparable
Gemma 7B: 26.8 (#248), GPT-5.2 Codex: —
| Benchmark | Gemma 7B | GPT-5.2 Codex |
|---|---|---|
| LMArena Expert | 1002 | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multilingual Not comparable
Gemma 7B: 25.3 (#282), GPT-5.2 Codex: —
| Benchmark | Gemma 7B | GPT-5.2 Codex |
|---|---|---|
| LMArena Non-English | 999 | — |
| LMArena Chinese | 1035 | — |
| LMArena French | 1024 | — |
| LMArena Russian | 993 | — |
Instruction Following Not comparable
Gemma 7B: 51.7 (#290), GPT-5.2 Codex: —
| Benchmark | Gemma 7B | GPT-5.2 Codex |
|---|---|---|
| LMArena Instruction Following | 1017 | — |
Long Context Not comparable
Gemma 7B: 31.1 (#277), GPT-5.2 Codex: —
| Benchmark | Gemma 7B | GPT-5.2 Codex |
|---|---|---|
| LMArena Longer Query | 1022 | — |
Writing & Preference Not comparable
Gemma 7B: 27.2 (#297), GPT-5.2 Codex: —
| Benchmark | Gemma 7B | GPT-5.2 Codex |
|---|---|---|
| LMArena Text | 1056 | — |
| LMArena Creative Writing | 1024 | — |
| LMArena Multi-Turn | 963 | — |
Frequently asked questions
Is Gemma 7B better than GPT-5.2 Codex?
GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 29.5 on the Noometry Index.
Is Gemma 7B or GPT-5.2 Codex better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.4 versus 29.9 in the Noometry coding category.
How many benchmarks do Gemma 7B and GPT-5.2 Codex share?
0 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and GPT-5.2 Codex has 5.