Model comparison
Gemini 1.5 Flash (May 2024) vs GPT-5.5 Instant
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 33.2 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 0 categories and GPT-5.5 Instant in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.5 Instant leads 48.9 to 26.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 68.1% for GPT-5.5 Instant.
Side by side
| Gemini 1.5 Flash (May 2024) | GPT-5.5 Instant | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 33.2 | 42.7 |
| Released | 2024-05-14 | 2026-05-05 |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 27 |
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Category by category
Coding GPT-5.5 Instant leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), GPT-5.5 Instant: 44.3 (#74)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.5 Instant |
|---|---|---|
| LMArena Coding | 1261 | 1433 |
| SciCode | — | 48.6% |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Flash (May 2024): 26.6 (#102), GPT-5.5 Instant: —
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.5 Instant |
|---|---|---|
| BALROG | 14.6% | — |
Reasoning GPT-5.5 Instant leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), GPT-5.5 Instant: 24.9 (#155)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.5 Instant |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1426 |
| Epoch Capabilities Index | 129.36 | 142.52 |
| CritPt | — | 0% |
| Chess Puzzles | — | 12% |
| DTBench | 53.8% | — |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |
Math GPT-5.5 Instant leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), GPT-5.5 Instant: 26.5 (#259)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.5 Instant |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 68.1% |
| LMArena Math | 1269 | 1420 |
| FrontierMath (Tiers 1-3) | — | 26.3% |
| FrontierMath Tier 4 | — | 2.4% |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge GPT-5.5 Instant leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), GPT-5.5 Instant: 48.9 (#74)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.5 Instant |
|---|---|---|
| GPQA Diamond | 47.3% | 82.5% |
| LMArena Expert | 1233 | 1409 |
| MMLU-Pro | 67.8% | — |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal GPT-5.5 Instant leads
Gemini 1.5 Flash (May 2024): 36.0 (#81), GPT-5.5 Instant: 40.0 (#52)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.5 Instant |
|---|---|---|
| LMArena Vision | 1141 | 1250 |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
| LMArena Document | — | 1403 |
Multilingual GPT-5.5 Instant leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), GPT-5.5 Instant: 52.8 (#80)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.5 Instant |
|---|---|---|
| LMArena Non-English | 1278 | 1417 |
| LMArena Chinese | 1295 | 1456 |
| LMArena French | 1258 | 1428 |
| LMArena German | 1262 | 1411 |
| LMArena Japanese | 1252 | 1408 |
| LMArena Korean | 1221 | 1392 |
| LMArena Russian | 1288 | 1431 |
| LMArena Spanish | 1243 | 1429 |
Instruction Following GPT-5.5 Instant leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), GPT-5.5 Instant: 74.2 (#100)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.5 Instant |
|---|---|---|
| LMArena Instruction Following | 1258 | 1406 |
| IFEval | 83.1% | — |
Long Context GPT-5.5 Instant leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), GPT-5.5 Instant: 43.4 (#96)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.5 Instant |
|---|---|---|
| LMArena Longer Query | 1284 | 1422 |
Writing & Preference GPT-5.5 Instant leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), GPT-5.5 Instant: 61.8 (#85)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5.5 Instant |
|---|---|---|
| LMArena Text | 1287 | 1419 |
| LMArena Creative Writing | 1285 | 1419 |
| LMArena Multi-Turn | 1253 | 1433 |
| WildBench | 79.2% | — |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than GPT-5.5 Instant?
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 33.2 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or GPT-5.5 Instant better for coding?
GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 34.4 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and GPT-5.5 Instant share?
21 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GPT-5.5 Instant has 27.