Model comparison
GPT-5.1 vs GPT-5 Mini
GPT-5.1 is the stronger model overall, scoring 49.0 to 41.8 on the Noometry Index. GPT-5 Mini costs 5.0× less per token, which makes it the better buy when GPT-5.1's lead doesn't matter for your workload.
Last verified . 48 shared benchmarks.
Summary
- They share 48 benchmarks with published results for both. GPT-5.1 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-5.1 leads 39.8 to 23.9.
- The biggest single-benchmark swing is GPQA (HELM): 44.2% for GPT-5.1 and 75.6% for GPT-5 Mini.
- GPT-5 Mini is cheaper at $0.25 / $2 per million input/output tokens, against $1.25 / $10 for GPT-5.1.
Side by side
| GPT-5.1 | GPT-5 Mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 49.0 | 41.8 |
| Released | 2025-11-13 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 400K |
| Max output | 128K | 128K |
| Input $ / M tokens | $1.25 | $0.25 |
| Output $ / M tokens | $10 | $2 |
| Results tracked | 63 | 60 |
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Category by category
Coding GPT-5.1 leads
GPT-5.1: 46.4 (#66), GPT-5 Mini: 40.1 (#146)
| Benchmark | GPT-5.1 | GPT-5 Mini |
|---|---|---|
| SWE-bench Verified | 68% | 64.7% |
| SWE-bench Verified (bash only) | 66% | 59.8% |
| SciCode | 43.3% | 39.2% |
| WeirdML | 60.8% | 52.7% |
| LMArena Coding | 1454 | 1406 |
| ALE-Bench | 1,192 | 799.77 |
| LMArena WebDev | 1395 | — |
| SWE-bench Multilingual | — | 39.7% |
| GSO | 13.7% | — |
| LiveBench Coding | 72.5% | — |
| AlgoTune | — | 1.38 |
Agentic & Tool Use GPT-5.1 leads
GPT-5.1: 32.7 (#60), GPT-5 Mini: 31.1 (#70)
| Benchmark | GPT-5.1 | GPT-5 Mini |
|---|---|---|
| Terminal-Bench | 47.6% | 34.8% |
| Vending-Bench 2 | 1,473 | -31.18 |
| Berkeley Function Calling Leaderboard | — | 55.5% |
| DeepResearch Bench | 42.8% | — |
| LMArena Search | 1199 | — |
Reasoning GPT-5.1 leads
GPT-5.1: 39.8 (#58), GPT-5 Mini: 23.9 (#168)
| Benchmark | GPT-5.1 | GPT-5 Mini |
|---|---|---|
| ARC-AGI-2 | 17.6% | 4.4% |
| ARC-AGI-1 | 72.8% | 54.3% |
| CritPt | 4.9% | 0% |
| Chess Puzzles | 32% | 30% |
| EnigmaEval | 11.2% | 8.2% |
| LMArena Hard Prompts | 1457 | 1380 |
| Mystery Game Puzzles | 19% | 10% |
| DTBench | 90.1% | 80.5% |
| LMCA | 43.9% | 34.2% |
| Epoch Capabilities Index | 149.64 | 145.52 |
| ForecastBench | 58.1 | 61 |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | — | 70.3% |
| LiveBench Reasoning | 95.8% | — |
| LiveBench Data Analysis | 72.1% | — |
| LiveBench | 78.8% | — |
Math GPT-5.1 leads
GPT-5.1: 52.2 (#51), GPT-5 Mini: 46.7 (#69)
| Benchmark | GPT-5.1 | GPT-5 Mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.6% | 86.7% |
| Omni-MATH | 46.4% | 72.2% |
| LMArena Math | 1447 | 1378 |
| FrontierMath (Feb 2025 set) | 31% | 27.2% |
| FrontierMath Tier 4 (v1) | 12.5% | 6.3% |
| FrontierMath (Tiers 1-3) | — | 46.7% |
| FrontierMath Tier 4 | — | 12.2% |
| ProofBench | — | 9% |
| LiveBench Math | 94.5% | — |
| MATH Level 5 | — | 97.8% |
Knowledge GPT-5.1 leads
GPT-5.1: 50.6 (#71), GPT-5 Mini: 45.6 (#86)
| Benchmark | GPT-5.1 | GPT-5 Mini |
|---|---|---|
| GPQA Diamond | 87.6% | 75% |
| Humanity's Last Exam | 23.7% | 19.4% |
| SimpleQA Verified | 48% | 21.6% |
| MMLU-Pro | 57.9% | 83.5% |
| Vectara Hallucination Rate | 10.9% | 12.9% |
| GPQA (HELM) | 44.2% | 75.6% |
| LMArena Expert | 1470 | 1379 |
| Confabulations | — | 13.3% |
Multimodal GPT-5.1 leads
GPT-5.1: 44.8 (#19), GPT-5 Mini: 35.6 (#85)
| Benchmark | GPT-5.1 | GPT-5 Mini |
|---|---|---|
| LMArena Vision | 1250 | 1202 |
| VPCT | 58.7% | 40.2% |
| LMArena Document | 1403 | — |
Multilingual GPT-5.1 leads
GPT-5.1: 53.8 (#56), GPT-5 Mini: 48.9 (#137)
| Benchmark | GPT-5.1 | GPT-5 Mini |
|---|---|---|
| LMArena Non-English | 1431 | 1363 |
| LMArena Chinese | 1495 | 1385 |
| LMArena French | 1450 | 1386 |
| LMArena German | 1438 | 1366 |
| LMArena Japanese | 1453 | 1341 |
| LMArena Korean | 1401 | 1308 |
| LMArena Russian | 1435 | 1362 |
| LMArena Spanish | 1433 | 1355 |
Instruction Following GPT-5.1 leads
GPT-5.1: 83.9 (#1), GPT-5 Mini: 76.2 (#46)
| Benchmark | GPT-5.1 | GPT-5 Mini |
|---|---|---|
| IFEval | 93.5% | 92.7% |
| LMArena Instruction Following | 1443 | 1357 |
| LiveBench Instruction Following | 93.3% | — |
Long Context GPT-5.1 leads
GPT-5.1: 47.6 (#14), GPT-5 Mini: 41.9 (#132)
| Benchmark | GPT-5.1 | GPT-5 Mini |
|---|---|---|
| LMArena Longer Query | 1447 | 1355 |
| Fiction.LiveBench | — | 69.4% |
| CL-bench | 23.7% | — |
| CL-bench Life | 17.3% | — |
Writing & Preference GPT-5.1 leads
GPT-5.1: 64.5 (#55), GPT-5 Mini: 55.2 (#148)
| Benchmark | GPT-5.1 | GPT-5 Mini |
|---|---|---|
| LMArena Text | 1443 | 1373 |
| LMArena Creative Writing | 1427 | 1325 |
| WildBench | 86.3% | 85.5% |
| LMArena Multi-Turn | 1450 | 1363 |
| Short-Story Creative Writing | — | 83.1% |
| EQ-Bench Creative Writing | — | 1313 |
| LiveBench Language | 80.2% | — |
Frequently asked questions
Is GPT-5.1 better than GPT-5 Mini?
GPT-5.1 is the stronger model overall, scoring 49.0 to 41.8 on the Noometry Index. GPT-5 Mini costs 5.0× less per token, which makes it the better buy when GPT-5.1's lead doesn't matter for your workload.
Which is cheaper, GPT-5.1 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-5.1 lists at $1.25 and $10.
Is GPT-5.1 or GPT-5 Mini better for coding?
GPT-5.1 scores higher on coding benchmarks: 46.4 versus 40.1 in the Noometry coding category.
Which has the bigger context window?
Both accept 400K tokens.
How many benchmarks do GPT-5.1 and GPT-5 Mini share?
48 benchmarks have published results for both models. GPT-5.1 has 63 scored results on Noometry and GPT-5 Mini has 60.