Model comparison
Gemma 1.1 2b IT vs GPT-5.3 Codex
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 30.1.
- Gemma 1.1 2b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 1.1 2b IT | GPT-5.3 Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.3 | 45.8 |
| Released | — | 2026-02-05 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 16 | 8 |
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Category by category
Coding GPT-5.3 Codex leads
Gemma 1.1 2b IT: 30.1 (#299), GPT-5.3 Codex: 48.6 (#56)
| Benchmark | Gemma 1.1 2b IT | GPT-5.3 Codex |
|---|---|---|
| SWE-bench Verified | — | 74.8% |
| LMArena WebDev | — | 1409 |
| WeirdML | — | 79.3% |
| LMArena Coding | 1034 | — |
| ALE-Bench | — | 1,655 |
| HumanEval+ | 17.7% | — |
| MBPP+ | 23.3% | — |
Agentic & Tool Use Not comparable
Gemma 1.1 2b IT: —, GPT-5.3 Codex: 48.0 (#9)
| Benchmark | Gemma 1.1 2b IT | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | — | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |
Reasoning Not comparable
Gemma 1.1 2b IT: 19.1 (#270), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 2b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Hard Prompts | 1005 | — |
| Epoch Capabilities Index | — | 156.77 |
Math Not comparable
Gemma 1.1 2b IT: 30.8 (#232), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 2b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Math | 1047 | — |
Knowledge Not comparable
Gemma 1.1 2b IT: 26.5 (#258), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 2b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Expert | 970 | — |
Multilingual Not comparable
Gemma 1.1 2b IT: 24.6 (#289), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 2b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Non-English | 988 | — |
| LMArena Chinese | 1012 | — |
| LMArena German | 944 | — |
| LMArena Korean | 899 | — |
| LMArena Russian | 990 | — |
Instruction Following Not comparable
Gemma 1.1 2b IT: 49.9 (#299), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 2b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Instruction Following | 992 | — |
Long Context Not comparable
Gemma 1.1 2b IT: 30.6 (#286), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 2b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1003 | — |
Writing & Preference Not comparable
Gemma 1.1 2b IT: 25.1 (#306), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 2b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1022 | — |
| LMArena Creative Writing | 998 | — |
| LMArena Multi-Turn | 959 | — |
Frequently asked questions
Is Gemma 1.1 2b IT better than GPT-5.3 Codex?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.3 on the Noometry Index.
Is Gemma 1.1 2b IT or GPT-5.3 Codex better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 30.1 in the Noometry coding category.
How many benchmarks do Gemma 1.1 2b IT and GPT-5.3 Codex share?
0 benchmarks have published results for both models. Gemma 1.1 2b IT has 16 scored results on Noometry and GPT-5.3 Codex has 8.