Model comparison
Gemma 2 27B vs GPT-5-Codex
GPT-5-Codex is the stronger model overall, scoring 37.9 to 29.4 on the Noometry Index. Gemma 2 27B costs 5.3× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
GoogleSummary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 15.3.
- Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 27B | GPT-5-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.4 | 37.9 |
| Released | 2024-06-24 | 2025-09-15 |
| Weights | Open | Proprietary |
| Context window | 8K | 400K |
| Max output | 2K | 128K |
| Input $ / M tokens | $0.65 | $1.25 |
| Output $ / M tokens | $0.65 | $10 |
| Results tracked | 34 | 3 |
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Category by category
Coding GPT-5-Codex leads
Gemma 2 27B: 34.1 (#246), GPT-5-Codex: 42.4 (#103)
| Benchmark | Gemma 2 27B | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| LMArena Coding | 1211 | — |
| BigCodeBench Complete | 52.5% | — |
Agentic & Tool Use Not comparable
Gemma 2 27B: —, GPT-5-Codex: 31.0 (#72)
| Benchmark | Gemma 2 27B | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
Gemma 2 27B: 15.3 (#315), GPT-5-Codex: 30.9 (#83)
| Benchmark | Gemma 2 27B | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| LiveBench Reasoning | 28.1% | — |
| LMArena Hard Prompts | 1198 | — |
| DTBench | 48% | — |
| LiveBench Data Analysis | 47.9% | — |
| LMCA | 7.1% | — |
| Epoch Capabilities Index | 122.08 | — |
| LiveBench | 38.2% | — |
Math Not comparable
Gemma 2 27B: 10.7 (#311), GPT-5-Codex: —
| Benchmark | Gemma 2 27B | GPT-5-Codex |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.4% | — |
| LiveBench Math | 26.5% | — |
| LMArena Math | 1212 | — |
| MATH Level 5 | 27.9% | — |
Knowledge Not comparable
Gemma 2 27B: 19.0 (#280), GPT-5-Codex: —
| Benchmark | Gemma 2 27B | GPT-5-Codex |
|---|---|---|
| GPQA Diamond | 36.5% | — |
| Confabulations | 27.1% | — |
| LMArena Expert | 1172 | — |
| MMLU | 75.7% | — |
Multilingual Not comparable
Gemma 2 27B: 38.6 (#226), GPT-5-Codex: —
| Benchmark | Gemma 2 27B | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1217 | — |
| LMArena Chinese | 1221 | — |
| LMArena French | 1247 | — |
| LMArena German | 1209 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1174 | — |
| LMArena Russian | 1234 | — |
| LMArena Spanish | 1228 | — |
Instruction Following Not comparable
Gemma 2 27B: 60.5 (#249), GPT-5-Codex: —
| Benchmark | Gemma 2 27B | GPT-5-Codex |
|---|---|---|
| LiveBench Instruction Following | 58.1% | — |
| LMArena Instruction Following | 1206 | — |
Long Context Not comparable
Gemma 2 27B: 37.3 (#218), GPT-5-Codex: —
| Benchmark | Gemma 2 27B | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1231 | — |
Writing & Preference Not comparable
Gemma 2 27B: 44.2 (#225), GPT-5-Codex: —
| Benchmark | Gemma 2 27B | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1231 | — |
| LMArena Creative Writing | 1241 | — |
| LMArena Multi-Turn | 1224 | — |
| LiveBench Language | 32.6% | — |
Frequently asked questions
Is Gemma 2 27B better than GPT-5-Codex?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 29.4 on the Noometry Index. Gemma 2 27B costs 5.3× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.
Which is cheaper, Gemma 2 27B or GPT-5-Codex?
Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is Gemma 2 27B or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 8K.
How many benchmarks do Gemma 2 27B and GPT-5-Codex share?
0 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and GPT-5-Codex has 3.