Model comparison
Gemini 2.0 Flash (Feb 2025) vs GPT-5.6 Terra
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 35.1 on the Noometry Index.
Last verified . 27 shared benchmarks.
GoogleSummary
- They share 27 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 0 categories and GPT-5.6 Terra in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.6 Terra leads 60.7 to 15.2.
- The biggest single-benchmark swing is ARC-AGI-2: 1.3% for Gemini 2.0 Flash (Feb 2025) and 83.9% for GPT-5.6 Terra.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Terra | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 35.1 | 59.2 |
| Released | 2024-12-06 | 2026-07-09 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $12 |
| Results tracked | 54 | 52 |
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Category by category
Coding GPT-5.6 Terra leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), GPT-5.6 Terra: 57.7 (#19)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Terra |
|---|---|---|
| WeirdML | 25.8% | 78.3% |
| LMArena Coding | 1350 | 1484 |
| DeepSWE | — | 69.6% |
| FrontierCode | — | 41.3% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| CursorBench | — | 41.3% |
| LMArena WebDev | — | 1522 |
| SciCode | — | 55% |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
| ALE-Bench | — | 1,951 |
Agentic & Tool Use GPT-5.6 Terra leads
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), GPT-5.6 Terra: 40.1 (#25)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Terra |
|---|---|---|
| APEX-Agents | — | 58.2% |
| TheAgentCompany | 11.4% | — |
| BALROG | — | 53.2% |
| GDP.pdf | — | 24.7% |
| Vending-Bench 2 | — | 7,343 |
Reasoning GPT-5.6 Terra leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), GPT-5.6 Terra: 60.7 (#21)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Terra |
|---|---|---|
| ARC-AGI-2 | 1.3% | 83.9% |
| SimpleBench | 31.1% | 48.9% |
| Kagi LLM Benchmark | 37.8% | 51.3% |
| LMArena Hard Prompts | 1346 | 1468 |
| DTBench | 63.2% | 93.3% |
| Epoch Capabilities Index | 135.36 | 159.62 |
| NYT Connections (extended) | — | 78.4% |
| ARC-AGI-1 | — | 96.5% |
| CritPt | — | 30% |
| Chess Puzzles | — | 54% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| Mystery Game Puzzles | — | 35% |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 55% |
| Surface Evolver Bench | — | 83.8% |
| LiveBench | 66.9% | — |
Math GPT-5.6 Terra leads
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), GPT-5.6 Terra: 81.6 (#12)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Terra |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 99.7% |
| LMArena Math | 1352 | 1466 |
| FrontierMath (Tiers 1-3) | — | 86% |
| FrontierMath Tier 4 | — | 70.7% |
| ProofBench | — | 74% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge GPT-5.6 Terra leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), GPT-5.6 Terra: 61.2 (#30)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Terra |
|---|---|---|
| GPQA Diamond | 64.1% | 93.3% |
| LMArena Expert | 1339 | 1492 |
| Humanity's Last Exam | 6.6% | — |
| SimpleQA Verified | — | 43.2% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |
Multimodal GPT-5.6 Terra leads
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), GPT-5.6 Terra: 47.3 (#11)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Terra |
|---|---|---|
| LMArena Vision | 1158 | 1271 |
| GeoBench | 77% | — |
| Blueprint-Bench 2 | — | 30.8% |
| Furniture Assembly | — | 54.2% |
| LMArena Document | — | 1472 |
Multilingual GPT-5.6 Terra leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), GPT-5.6 Terra: 54.4 (#44)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Terra |
|---|---|---|
| LMArena Non-English | 1342 | 1439 |
| LMArena Chinese | 1373 | 1513 |
| LMArena French | 1391 | 1471 |
| LMArena German | 1353 | 1460 |
| LMArena Japanese | 1294 | 1457 |
| LMArena Korean | 1313 | 1425 |
| LMArena Russian | 1351 | 1450 |
| LMArena Spanish | 1363 | 1448 |
Instruction Following GPT-5.6 Terra leads
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), GPT-5.6 Terra: 76.4 (#40)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Terra |
|---|---|---|
| LMArena Instruction Following | 1336 | 1454 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context GPT-5.6 Terra leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), GPT-5.6 Terra: 44.4 (#68)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Terra |
|---|---|---|
| LMArena Longer Query | 1344 | 1451 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference GPT-5.6 Terra leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), GPT-5.6 Terra: 70.2 (#23)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.6 Terra |
|---|---|---|
| LMArena Text | 1354 | 1447 |
| LMArena Creative Writing | 1340 | 1410 |
| EQ-Bench Creative Writing | 1128 | 1855 |
| LMArena Multi-Turn | 1350 | 1449 |
| Short-Story Creative Writing | 73.8% | — |
| WildBench | 80% | — |
| EQ-Bench 4 | — | 1234 |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than GPT-5.6 Terra?
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 35.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GPT-5.6 Terra better for coding?
GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GPT-5.6 Terra share?
27 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GPT-5.6 Terra has 52.