Model comparison
Gemma 3 27B vs GPT-5 Pro
GPT-5 Pro is the stronger model overall, scoring 46.4 to 30.8 on the Noometry Index. Gemma 3 27B costs 413× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
GoogleSummary
- They share 2 benchmarks with published results for both. Gemma 3 27B scores higher in 0 categories and GPT-5 Pro in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.7 to 25.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 40.4% for Gemma 3 27B and 76.8% for GPT-5 Pro.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 131K.
- Gemma 3 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 27B | GPT-5 Pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 30.8 | 46.4 |
| Released | 2025-03-11 | 2025-10-06 |
| Weights | Open | Proprietary |
| Context window | 131K | 400K |
| Max output | 8K | 272K |
| Input $ / M tokens | $0.08 | $15 |
| Output $ / M tokens | $0.16 | $120 |
| Results tracked | 43 | 12 |
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Category by category
Coding GPT-5 Pro leads
Gemma 3 27B: 22.5 (#334), GPT-5 Pro: 44.0 (#80)
| Benchmark | Gemma 3 27B | GPT-5 Pro |
|---|---|---|
| Aider Polyglot | 4.9% | — |
| SciCode | 21.2% | — |
| WeirdML | — | 60.4% |
| LiveBench Coding | 39.9% | — |
| LMArena Coding | 1322 | — |
| AlgoTune | — | 1.31 |
Agentic & Tool Use Not comparable
Gemma 3 27B: 25.1 (#110), GPT-5 Pro: —
| Benchmark | Gemma 3 27B | GPT-5 Pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
Reasoning GPT-5 Pro leads
Gemma 3 27B: 16.7 (#301), GPT-5 Pro: 38.9 (#62)
| Benchmark | Gemma 3 27B | GPT-5 Pro |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | 76.8% |
| Epoch Capabilities Index | 130.04 | 150.28 |
| ARC-AGI-2 | — | 18.3% |
| SimpleBench | — | 61.6% |
| ARC-AGI-1 | — | 70.2% |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 18.8% |
| LiveBench Reasoning | 43.8% | — |
| LMArena Hard Prompts | 1340 | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 51.5% | — |
| LMCA | 12.3% | — |
| LiveBench | 50% | — |
Math GPT-5 Pro leads
Gemma 3 27B: 25.9 (#265), GPT-5 Pro: 48.5 (#63)
| Benchmark | Gemma 3 27B | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 19.5% |
| OTIS Mock AIME 2024-2025 | 22.5% | — |
| LiveBench Math | 55.4% | — |
| LMArena Math | 1312 | — |
| MATH Level 5 | 74% | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge GPT-5 Pro leads
Gemma 3 27B: 25.5 (#261), GPT-5 Pro: 56.7 (#42)
| Benchmark | Gemma 3 27B | GPT-5 Pro |
|---|---|---|
| GPQA Diamond | 47.7% | — |
| Humanity's Last Exam | — | 31.6% |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |
| LMArena Expert | 1304 | — |
Multimodal Not comparable
Gemma 3 27B: 32.6 (#100), GPT-5 Pro: —
| Benchmark | Gemma 3 27B | GPT-5 Pro |
|---|---|---|
| LMArena Vision | 1164 | — |
| GeoBench | 52% | — |
Multilingual Not comparable
Gemma 3 27B: 46.9 (#155), GPT-5 Pro: —
| Benchmark | Gemma 3 27B | GPT-5 Pro |
|---|---|---|
| LMArena Non-English | 1334 | — |
| LMArena Chinese | 1346 | — |
| LMArena French | 1368 | — |
| LMArena German | 1362 | — |
| LMArena Japanese | 1287 | — |
| LMArena Korean | 1308 | — |
| LMArena Russian | 1349 | — |
| LMArena Spanish | 1349 | — |
Instruction Following Not comparable
Gemma 3 27B: 70.6 (#160), GPT-5 Pro: —
| Benchmark | Gemma 3 27B | GPT-5 Pro |
|---|---|---|
| LiveBench Instruction Following | 74.9% | — |
| LMArena Instruction Following | 1321 | — |
Long Context Not comparable
Gemma 3 27B: 27.6 (#293), GPT-5 Pro: —
| Benchmark | Gemma 3 27B | GPT-5 Pro |
|---|---|---|
| Fiction.LiveBench | 33.3% | — |
| LMArena Longer Query | 1333 | — |
Writing & Preference Not comparable
Gemma 3 27B: 52.5 (#168), GPT-5 Pro: —
| Benchmark | Gemma 3 27B | GPT-5 Pro |
|---|---|---|
| LMArena Text | 1358 | — |
| LMArena Creative Writing | 1346 | — |
| Short-Story Creative Writing | 79.9% | — |
| EQ-Bench Creative Writing | 1266 | — |
| LMArena Multi-Turn | 1345 | — |
| LiveBench Language | 34.6% | — |
Frequently asked questions
Is Gemma 3 27B better than GPT-5 Pro?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 30.8 on the Noometry Index. Gemma 3 27B costs 413× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 27B or GPT-5 Pro?
Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is Gemma 3 27B or GPT-5 Pro better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 22.5 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 131K.
How many benchmarks do Gemma 3 27B and GPT-5 Pro share?
2 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and GPT-5 Pro has 12.