Model comparison
Gemma 1.1 7b IT vs GPT-5-Codex
GPT-5-Codex is the stronger model overall, scoring 37.9 to 31.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in coding, where GPT-5-Codex leads 42.4 to 31.5.
- Gemma 1.1 7b IT has downloadable open weights; the other is API-only.
Side by side
| Gemma 1.1 7b IT | GPT-5-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 31.3 | 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 | 19 | 3 |
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Category by category
Coding GPT-5-Codex leads
Gemma 1.1 7b IT: 31.5 (#284), GPT-5-Codex: 42.4 (#103)
| Benchmark | Gemma 1.1 7b IT | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| LMArena Coding | 1084 | — |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |
Agentic & Tool Use Not comparable
Gemma 1.1 7b IT: —, GPT-5-Codex: 31.0 (#72)
| Benchmark | Gemma 1.1 7b IT | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
Gemma 1.1 7b IT: 20.5 (#238), GPT-5-Codex: 30.9 (#83)
| Benchmark | Gemma 1.1 7b IT | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| LMArena Hard Prompts | 1071 | — |
Math Not comparable
Gemma 1.1 7b IT: 32.0 (#220), GPT-5-Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5-Codex |
|---|---|---|
| LMArena Math | 1107 | — |
Knowledge Not comparable
Gemma 1.1 7b IT: 28.3 (#247), GPT-5-Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5-Codex |
|---|---|---|
| LMArena Expert | 1039 | — |
Multilingual Not comparable
Gemma 1.1 7b IT: 28.1 (#273), GPT-5-Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1052 | — |
| LMArena Chinese | 1061 | — |
| LMArena French | 1065 | — |
| LMArena German | 1054 | — |
| LMArena Japanese | 971 | — |
| LMArena Korean | 988 | — |
| LMArena Russian | 1046 | — |
| LMArena Spanish | 1049 | — |
Instruction Following Not comparable
Gemma 1.1 7b IT: 54.0 (#283), GPT-5-Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 1057 | — |
Long Context Not comparable
Gemma 1.1 7b IT: 32.1 (#272), GPT-5-Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1056 | — |
Writing & Preference Not comparable
Gemma 1.1 7b IT: 30.4 (#288), GPT-5-Codex: —
| Benchmark | Gemma 1.1 7b IT | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1094 | — |
| LMArena Creative Writing | 1060 | — |
| LMArena Multi-Turn | 1040 | — |
Frequently asked questions
Is Gemma 1.1 7b IT better than GPT-5-Codex?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 31.3 on the Noometry Index.
Is Gemma 1.1 7b IT or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 31.5 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and GPT-5-Codex share?
0 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and GPT-5-Codex has 3.