Model comparison
Gemma 3 1B vs GPT-5-Codex
GPT-5-Codex is the stronger model overall, scoring 37.9 to 21.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in agentic & tool use, where GPT-5-Codex leads 31.0 to 13.7.
- Gemma 3 1B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 1B | GPT-5-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 21.1 | 37.9 |
| Released | 2025-03-12 | 2025-09-15 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 4 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Gemma 3 1B: —, GPT-5-Codex: 42.4 (#103)
| Benchmark | Gemma 3 1B | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
Agentic & Tool Use GPT-5-Codex leads
Gemma 3 1B: 13.7 (#152), GPT-5-Codex: 31.0 (#72)
| Benchmark | Gemma 3 1B | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
| Berkeley Function Calling Leaderboard | 7.2% | — |
Reasoning GPT-5-Codex leads
Gemma 3 1B: 19.2 (#264), GPT-5-Codex: 30.9 (#83)
| Benchmark | Gemma 3 1B | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| Chess Puzzles | 0% | — |
Math Not comparable
Gemma 3 1B: 10.2 (#316), GPT-5-Codex: —
| Benchmark | Gemma 3 1B | GPT-5-Codex |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | — |
Knowledge Not comparable
Gemma 3 1B: 7.0 (#314), GPT-5-Codex: —
| Benchmark | Gemma 3 1B | GPT-5-Codex |
|---|---|---|
| GPQA Diamond | 19.9% | — |
Frequently asked questions
Is Gemma 3 1B better than GPT-5-Codex?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 21.1 on the Noometry Index.
How many benchmarks do Gemma 3 1B and GPT-5-Codex share?
0 benchmarks have published results for both models. Gemma 3 1B has 4 scored results on Noometry and GPT-5-Codex has 3.