Model comparison
Gemini 2.0 Flash (Feb 2025) vs GPT-5.5 Instant
GPT-5.5 Instant is the stronger model overall, scoring 42.5 to 34.8 on the Noometry Index.
Last verified . 21 shared benchmarks.
GoogleSummary
- They share 21 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 2 categories and GPT-5.5 Instant in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.5 Instant leads 48.9 to 32.0.
- The biggest single-benchmark swing is GPQA Diamond: 64.1% for Gemini 2.0 Flash (Feb 2025) and 82.5% for GPT-5.5 Instant.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GPT-5.5 Instant | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 34.8 | 42.5 |
| Released | 2024-12-06 | 2026-05-05 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 54 | 27 |
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Category by category
Coding GPT-5.5 Instant leads
Gemini 2.0 Flash (Feb 2025): 28.2 (#308), GPT-5.5 Instant: 43.7 (#73)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.5 Instant |
|---|---|---|
| LMArena Coding | 1351 | 1433 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| SciCode | — | 48.6% |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash (Feb 2025): 28.0 (#85), GPT-5.5 Instant: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.5 Instant |
|---|---|---|
| TheAgentCompany | 11.4% | — |
Reasoning GPT-5.5 Instant leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#308), GPT-5.5 Instant: 24.2 (#149)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.5 Instant |
|---|---|---|
| LMArena Hard Prompts | 1346 | 1426 |
| Epoch Capabilities Index | 135.36 | 142.48 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 12% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| DTBench | 63.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| LiveBench | 66.9% | — |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 36.1 (#127), GPT-5.5 Instant: 26.1 (#241)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.5 Instant |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 68.1% |
| LMArena Math | 1351 | 1420 |
| FrontierMath (Tiers 1-3) | — | 26.3% |
| FrontierMath Tier 4 | — | 2.4% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge GPT-5.5 Instant leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#207), GPT-5.5 Instant: 48.9 (#68)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.5 Instant |
|---|---|---|
| GPQA Diamond | 64.1% | 82.5% |
| LMArena Expert | 1340 | 1409 |
| Humanity's Last Exam | 6.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |
Multimodal GPT-5.5 Instant leads
Gemini 2.0 Flash (Feb 2025): 35.9 (#74), GPT-5.5 Instant: 39.3 (#48)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.5 Instant |
|---|---|---|
| LMArena Vision | 1158 | 1250 |
| GeoBench | 77% | — |
| LMArena Document | — | 1403 |
Multilingual GPT-5.5 Instant leads
Gemini 2.0 Flash (Feb 2025): 47.6 (#144), GPT-5.5 Instant: 53.0 (#76)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.5 Instant |
|---|---|---|
| LMArena Non-English | 1342 | 1417 |
| LMArena Chinese | 1373 | 1457 |
| LMArena French | 1390 | 1428 |
| LMArena German | 1354 | 1410 |
| LMArena Japanese | 1293 | 1408 |
| LMArena Korean | 1314 | 1393 |
| LMArena Russian | 1351 | 1430 |
| LMArena Spanish | 1363 | 1430 |
Instruction Following Too close to call
Gemini 2.0 Flash (Feb 2025): 74.6 (#91), GPT-5.5 Instant: 74.4 (#94)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.5 Instant |
|---|---|---|
| LMArena Instruction Following | 1336 | 1407 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context GPT-5.5 Instant leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#198), GPT-5.5 Instant: 43.4 (#92)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.5 Instant |
|---|---|---|
| LMArena Longer Query | 1345 | 1422 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference GPT-5.5 Instant leads
Gemini 2.0 Flash (Feb 2025): 49.8 (#184), GPT-5.5 Instant: 62.0 (#81)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5.5 Instant |
|---|---|---|
| LMArena Text | 1354 | 1419 |
| LMArena Creative Writing | 1340 | 1420 |
| LMArena Multi-Turn | 1350 | 1434 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than GPT-5.5 Instant?
GPT-5.5 Instant is the stronger model overall, scoring 42.5 to 34.8 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GPT-5.5 Instant better for coding?
GPT-5.5 Instant scores higher on coding benchmarks: 43.7 versus 28.2 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GPT-5.5 Instant share?
21 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GPT-5.5 Instant has 27.