Model comparison
Gemini 2.0 Flash (Feb 2025) vs GPT-5.1
GPT-5.1 is the stronger model overall, scoring 49.0 to 35.1 on the Noometry Index.
Last verified . 41 shared benchmarks.
GoogleSummary
- They share 41 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 0 categories and GPT-5.1 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.1 leads 39.8 to 15.2.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 13.5% for Gemini 2.0 Flash (Feb 2025) and 66% for GPT-5.1.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GPT-5.1 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 35.1 | 49.0 |
| Released | 2024-12-06 | 2025-11-13 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 54 | 63 |
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Category by category
Coding GPT-5.1 leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), GPT-5.1: 46.4 (#66)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.1 |
|---|---|---|
| SWE-bench Verified (bash only) | 13.5% | 66% |
| WeirdML | 25.8% | 60.8% |
| LiveBench Coding | 63.4% | 72.5% |
| LMArena Coding | 1350 | 1454 |
| SWE-bench Verified | — | 68% |
| Aider Polyglot | 38.2% | — |
| LMArena WebDev | — | 1395 |
| SciCode | — | 43.3% |
| GSO | — | 13.7% |
| BigCodeBench Instruct | 45.9% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
| ALE-Bench | — | 1,192 |
Agentic & Tool Use GPT-5.1 leads
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), GPT-5.1: 32.7 (#60)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.1 |
|---|---|---|
| Terminal-Bench | — | 47.6% |
| TheAgentCompany | 11.4% | — |
| DeepResearch Bench | — | 42.8% |
| LMArena Search | — | 1199 |
| Vending-Bench 2 | — | 1,473 |
Reasoning GPT-5.1 leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), GPT-5.1: 39.8 (#58)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.1 |
|---|---|---|
| ARC-AGI-2 | 1.3% | 17.6% |
| SimpleBench | 31.1% | 53.2% |
| EnigmaEval | 1.1% | 11.2% |
| LiveBench Reasoning | 78.2% | 95.8% |
| LMArena Hard Prompts | 1346 | 1457 |
| DTBench | 63.2% | 90.1% |
| LiveBench Data Analysis | 69.4% | 72.1% |
| Epoch Capabilities Index | 135.36 | 149.64 |
| LiveBench | 66.9% | 78.8% |
| Kagi LLM Benchmark | 37.8% | — |
| ARC-AGI-1 | — | 72.8% |
| CritPt | — | 4.9% |
| Chess Puzzles | — | 32% |
| Mystery Game Puzzles | — | 19% |
| LMCA | — | 43.9% |
| ForecastBench | — | 58.1 |
Math GPT-5.1 leads
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), GPT-5.1: 52.2 (#51)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 88.6% |
| Omni-MATH | 45.9% | 46.4% |
| LiveBench Math | 75.8% | 94.5% |
| LMArena Math | 1352 | 1447 |
| FrontierMath (Feb 2025 set) | 1.7% | 31% |
| MATH Level 5 | 82.2% | — |
| FrontierMath Tier 4 (v1) | — | 12.5% |
Knowledge GPT-5.1 leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), GPT-5.1: 50.6 (#71)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.1 |
|---|---|---|
| GPQA Diamond | 64.1% | 87.6% |
| Humanity's Last Exam | 6.6% | 23.7% |
| MMLU-Pro | 73.7% | 57.9% |
| GPQA (HELM) | 55.6% | 44.2% |
| LMArena Expert | 1339 | 1470 |
| SimpleQA Verified | — | 48% |
| Confabulations | 12.4% | — |
| Vectara Hallucination Rate | — | 10.9% |
| MMLU | 79.7% | — |
Multimodal GPT-5.1 leads
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), GPT-5.1: 44.8 (#19)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.1 |
|---|---|---|
| LMArena Vision | 1158 | 1250 |
| GeoBench | 77% | — |
| VPCT | — | 58.7% |
| LMArena Document | — | 1403 |
Multilingual GPT-5.1 leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), GPT-5.1: 53.8 (#56)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.1 |
|---|---|---|
| LMArena Non-English | 1342 | 1431 |
| LMArena Chinese | 1373 | 1495 |
| LMArena French | 1391 | 1450 |
| LMArena German | 1353 | 1438 |
| LMArena Japanese | 1294 | 1453 |
| LMArena Korean | 1313 | 1401 |
| LMArena Russian | 1351 | 1435 |
| LMArena Spanish | 1363 | 1433 |
Instruction Following GPT-5.1 leads
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), GPT-5.1: 83.9 (#1)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.1 |
|---|---|---|
| LiveBench Instruction Following | 85.8% | 93.3% |
| IFEval | 84.1% | 93.5% |
| LMArena Instruction Following | 1336 | 1443 |
Long Context GPT-5.1 leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), GPT-5.1: 47.6 (#14)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.1 |
|---|---|---|
| LMArena Longer Query | 1344 | 1447 |
| Fiction.LiveBench | 61.1% | — |
| CL-bench | — | 23.7% |
| CL-bench Life | — | 17.3% |
Writing & Preference GPT-5.1 leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), GPT-5.1: 64.5 (#55)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.1 |
|---|---|---|
| LMArena Text | 1354 | 1443 |
| LMArena Creative Writing | 1340 | 1427 |
| WildBench | 80% | 86.3% |
| LMArena Multi-Turn | 1350 | 1450 |
| LiveBench Language | 51.3% | 80.2% |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than GPT-5.1?
GPT-5.1 is the stronger model overall, scoring 49.0 to 35.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GPT-5.1 better for coding?
GPT-5.1 scores higher on coding benchmarks: 46.4 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GPT-5.1 share?
41 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GPT-5.1 has 63.