Model comparison
Gemma 1.1 7b IT vs GPT-5.3 Codex
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 30.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 31.0.
- Gemma 1.1 7b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 1.1 7b IT | GPT-5.3 Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 30.7 | 45.5 |
| Released | — | 2026-02-05 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 19 | 8 |
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Category by category
Coding GPT-5.3 Codex leads
Gemma 1.1 7b IT: 31.0 (#279), GPT-5.3 Codex: 48.5 (#51)
| Benchmark | Gemma 1.1 7b IT | GPT-5.3 Codex |
|---|---|---|
| SWE-bench Verified | — | 74.8% |
| LMArena WebDev | — | 1408 |
| WeirdML | — | 79.3% |
| LMArena Coding | 1084 | — |
| ALE-Bench | — | 1,655 |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |
Agentic & Tool Use Not comparable
Gemma 1.1 7b IT: —, GPT-5.3 Codex: 47.8 (#9)
| Benchmark | Gemma 1.1 7b 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 7b IT: 19.6 (#235), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Hard Prompts | 1071 | — |
| Epoch Capabilities Index | — | 156.84 |
Math Not comparable
Gemma 1.1 7b IT: 29.5 (#217), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Math | 1107 | — |
Knowledge Not comparable
Gemma 1.1 7b IT: 27.8 (#242), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Expert | 1039 | — |
Multilingual Not comparable
Gemma 1.1 7b IT: 28.3 (#268), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Non-English | 1052 | — |
| LMArena Chinese | 1060 | — |
| LMArena French | 1064 | — |
| LMArena German | 1054 | — |
| LMArena Japanese | 971 | — |
| LMArena Korean | 988 | — |
| LMArena Russian | 1046 | — |
| LMArena Spanish | 1049 | — |
Instruction Following Not comparable
Gemma 1.1 7b IT: 54.3 (#278), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Instruction Following | 1057 | — |
Long Context Not comparable
Gemma 1.1 7b IT: 32.0 (#267), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1056 | — |
Writing & Preference Not comparable
Gemma 1.1 7b IT: 30.6 (#283), GPT-5.3 Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1094 | — |
| LMArena Creative Writing | 1059 | — |
| LMArena Multi-Turn | 1040 | — |
Frequently asked questions
Is Gemma 1.1 7b IT better than GPT-5.3 Codex?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 30.7 on the Noometry Index.
Is Gemma 1.1 7b IT or GPT-5.3 Codex better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 31.0 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and GPT-5.3 Codex share?
0 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and GPT-5.3 Codex has 8.