Model comparison
GPT-5.5 vs GPT-5 Mini
GPT-5.5 is the stronger model overall, scoring 63.4 to 41.8 on the Noometry Index. GPT-5 Mini costs 16× less per token, which makes it the better buy when GPT-5.5's lead doesn't matter for your workload.
Last verified . 44 shared benchmarks.
Summary
- They share 44 benchmarks with published results for both. GPT-5.5 scores higher in 10 categories and GPT-5 Mini in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 leads 72.8 to 23.9.
- The biggest single-benchmark swing is ARC-AGI-2: 85% for GPT-5.5 and 4.4% for GPT-5 Mini.
- GPT-5 Mini is cheaper at $0.25 / $2 per million input/output tokens, against $5 / $30 for GPT-5.5.
- GPT-5.5 accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5.5 | GPT-5 Mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 63.4 | 41.8 |
| Released | 2026-04-23 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 400K |
| Max output | 128K | 128K |
| Input $ / M tokens | $5 | $0.25 |
| Output $ / M tokens | $30 | $2 |
| Results tracked | 71 | 60 |
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Category by category
Coding GPT-5.5 leads
GPT-5.5: 58.2 (#17), GPT-5 Mini: 40.1 (#146)
| Benchmark | GPT-5.5 | GPT-5 Mini |
|---|---|---|
| SWE-bench Verified | 80.6% | 64.7% |
| SciCode | 56.1% | 39.2% |
| WeirdML | 84.9% | 52.7% |
| LMArena Coding | 1494 | 1406 |
| ALE-Bench | 1,943 | 799.77 |
| DeepSWE | 67% | — |
| FrontierCode | 43% | — |
| SWE-bench Verified (bash only) | — | 59.8% |
| LMArena WebDev | 1513 | — |
| SWE-bench Multilingual | — | 39.7% |
| GSO | 40.2% | — |
| MirrorCode | 10% | — |
| AlgoTune | — | 1.38 |
Agentic & Tool Use GPT-5.5 leads
GPT-5.5: 50.7 (#6), GPT-5 Mini: 31.1 (#70)
| Benchmark | GPT-5.5 | GPT-5 Mini |
|---|---|---|
| Terminal-Bench | 84.7% | 34.8% |
| Vending-Bench 2 | 7,524 | -31.18 |
| APEX-Agents | 55.1% | — |
| Berkeley Function Calling Leaderboard | — | 55.5% |
| OSWorld 2.0 | 13% | — |
| Remote Labor Index | 6.3% | — |
| τ²-bench Banking | 44.6% | — |
| DeepResearch Bench | 54% | — |
| PostTrainBench | 27.2% | — |
| ExploitBench | 47.4% | — |
| GBAEval | 53.2% | — |
| GDP.pdf | 26% | — |
| LMArena Search | 1242 | — |
Reasoning GPT-5.5 leads
GPT-5.5: 72.8 (#11), GPT-5 Mini: 23.9 (#168)
| Benchmark | GPT-5.5 | GPT-5 Mini |
|---|---|---|
| ARC-AGI-2 | 85% | 4.4% |
| Kagi LLM Benchmark | 88.8% | 70.3% |
| ARC-AGI-1 | 95% | 54.3% |
| CritPt | 27.1% | 0% |
| Chess Puzzles | 54% | 30% |
| LMArena Hard Prompts | 1489 | 1380 |
| Mystery Game Puzzles | 56% | 10% |
| DTBench | 96% | 80.5% |
| LMCA | 54.3% | 34.2% |
| Epoch Capabilities Index | 159.1 | 145.52 |
| ForecastBench | 60.6 | 61 |
| SimpleBench | 69% | — |
| NYT Connections (extended) | 96.2% | — |
| EnigmaEval | — | 8.2% |
| EBR-Bench | 34.3% | — |
| Surface Evolver Bench | 88.1% | — |
| Bench to the Future 3 | 0.14 | — |
Math GPT-5.5 leads
GPT-5.5: 81.7 (#11), GPT-5 Mini: 46.7 (#69)
| Benchmark | GPT-5.5 | GPT-5 Mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 85.3% | 46.7% |
| FrontierMath Tier 4 | 72.5% | 12.2% |
| OTIS Mock AIME 2024-2025 | 100% | 86.7% |
| ProofBench | 50% | 9% |
| LMArena Math | 1486 | 1378 |
| FrontierMath (Feb 2025 set) | 51.7% | 27.2% |
| FrontierMath Tier 4 (v1) | 35.4% | 6.3% |
| MathArena Final-Answer Competitions | 94.3% | — |
| Omni-MATH | — | 72.2% |
| MATH Level 5 | — | 97.8% |
| FrontierMath Erdős | 0% | — |
Knowledge GPT-5.5 leads
GPT-5.5: 64.4 (#17), GPT-5 Mini: 45.6 (#86)
| Benchmark | GPT-5.5 | GPT-5 Mini |
|---|---|---|
| GPQA Diamond | 94% | 75% |
| SimpleQA Verified | 63% | 21.6% |
| Vectara Hallucination Rate | 9.3% | 12.9% |
| LMArena Expert | 1508 | 1379 |
| Humanity's Last Exam | — | 19.4% |
| MMLU-Pro | — | 83.5% |
| Confabulations | — | 13.3% |
| GPQA (HELM) | — | 75.6% |
Multimodal GPT-5.5 leads
GPT-5.5: 46.9 (#12), GPT-5 Mini: 35.6 (#85)
| Benchmark | GPT-5.5 | GPT-5 Mini |
|---|---|---|
| LMArena Vision | 1297 | 1202 |
| VPCT | — | 40.2% |
| Blueprint-Bench 2 | 36.2% | — |
| Furniture Assembly | 44.2% | — |
| LMArena Document | 1486 | — |
Multilingual GPT-5.5 leads
GPT-5.5: 56.4 (#20), GPT-5 Mini: 48.9 (#137)
| Benchmark | GPT-5.5 | GPT-5 Mini |
|---|---|---|
| LMArena Non-English | 1467 | 1363 |
| LMArena Chinese | 1533 | 1385 |
| LMArena French | 1486 | 1386 |
| LMArena German | 1480 | 1366 |
| LMArena Japanese | 1498 | 1341 |
| LMArena Korean | 1460 | 1308 |
| LMArena Russian | 1473 | 1362 |
| LMArena Spanish | 1468 | 1355 |
Instruction Following GPT-5.5 leads
GPT-5.5: 77.5 (#18), GPT-5 Mini: 76.2 (#46)
| Benchmark | GPT-5.5 | GPT-5 Mini |
|---|---|---|
| LMArena Instruction Following | 1479 | 1357 |
| IFEval | — | 92.7% |
Long Context GPT-5.5 leads
GPT-5.5: 48.3 (#12), GPT-5 Mini: 41.9 (#132)
| Benchmark | GPT-5.5 | GPT-5 Mini |
|---|---|---|
| LMArena Longer Query | 1484 | 1355 |
| Fiction.LiveBench | — | 69.4% |
| CL-bench Life | 22.2% | — |
Writing & Preference GPT-5.5 leads
GPT-5.5: 72.7 (#13), GPT-5 Mini: 55.2 (#148)
| Benchmark | GPT-5.5 | GPT-5 Mini |
|---|---|---|
| LMArena Text | 1472 | 1373 |
| LMArena Creative Writing | 1455 | 1325 |
| EQ-Bench Creative Writing | 1844 | 1313 |
| LMArena Multi-Turn | 1476 | 1363 |
| Short-Story Creative Writing | — | 83.1% |
| WildBench | — | 85.5% |
| EQ-Bench 4 | 1315 | — |
Frequently asked questions
Is GPT-5.5 better than GPT-5 Mini?
GPT-5.5 is the stronger model overall, scoring 63.4 to 41.8 on the Noometry Index. GPT-5 Mini costs 16× less per token, which makes it the better buy when GPT-5.5's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 or GPT-5 Mini?
GPT-5 Mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; GPT-5.5 lists at $5 and $30.
Is GPT-5.5 or GPT-5 Mini better for coding?
GPT-5.5 scores higher on coding benchmarks: 58.2 versus 40.1 in the Noometry coding category.
Which has the bigger context window?
GPT-5.5 does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5.5 and GPT-5 Mini share?
44 benchmarks have published results for both models. GPT-5.5 has 71 scored results on Noometry and GPT-5 Mini has 60.