Model comparison
GPT-5.1 vs Grok 4.3
GPT-5.1 is the stronger model overall, scoring 49.0 to 43.8 on the Noometry Index. Grok 4.3 costs 2.2× less per token, which makes it the better buy when GPT-5.1's lead doesn't matter for your workload.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. GPT-5.1 scores higher in 9 categories and Grok 4.3 in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in multimodal, where GPT-5.1 leads 44.8 to 31.6.
- The biggest single-benchmark swing is SimpleQA Verified: 48% for GPT-5.1 and 33.2% for Grok 4.3.
- Grok 4.3 is cheaper at $1.25 / $2.50 per million input/output tokens, against $1.25 / $10 for GPT-5.1.
- Grok 4.3 accepts more context: 1M tokens versus 400K.
Side by side
| GPT-5.1 | Grok 4.3 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 49.0 | 43.8 |
| Released | 2025-11-13 | 2026-04-17 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1M |
| Max output | 128K | 30K |
| Input $ / M tokens | $1.25 | $1.25 |
| Output $ / M tokens | $10 | $2.50 |
| Results tracked | 63 | 40 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.1 leads
GPT-5.1: 46.4 (#66), Grok 4.3: 41.6 (#121)
| Benchmark | GPT-5.1 | Grok 4.3 |
|---|---|---|
| LMArena WebDev | 1395 | 1357 |
| SciCode | 43.3% | 47.3% |
| WeirdML | 60.8% | 49.9% |
| LMArena Coding | 1454 | 1415 |
| ALE-Bench | 1,192 | 944.17 |
| SWE-bench Verified | 68% | — |
| SWE-bench Verified (bash only) | 66% | — |
| GSO | 13.7% | — |
| LiveBench Coding | 72.5% | — |
Agentic & Tool Use GPT-5.1 leads
GPT-5.1: 32.7 (#60), Grok 4.3: 27.7 (#99)
| Benchmark | GPT-5.1 | Grok 4.3 |
|---|---|---|
| LMArena Search | 1199 | 1165 |
| Vending-Bench 2 | 1,473 | 35.26 |
| Terminal-Bench | 47.6% | — |
| DeepResearch Bench | 42.8% | — |
| GDP.pdf | — | 8% |
Reasoning GPT-5.1 leads
GPT-5.1: 39.8 (#58), Grok 4.3: 35.9 (#68)
| Benchmark | GPT-5.1 | Grok 4.3 |
|---|---|---|
| CritPt | 4.9% | 8% |
| Chess Puzzles | 32% | 25% |
| LMArena Hard Prompts | 1457 | 1396 |
| DTBench | 90.1% | 90.7% |
| LMCA | 43.9% | 38.3% |
| Epoch Capabilities Index | 149.64 | 149.16 |
| ForecastBench | 58.1 | 60.3 |
| ARC-AGI-2 | 17.6% | — |
| SimpleBench | 53.2% | — |
| NYT Connections (extended) | — | 55.2% |
| ARC-AGI-1 | 72.8% | — |
| EnigmaEval | 11.2% | — |
| LiveBench Reasoning | 95.8% | — |
| Mystery Game Puzzles | 19% | — |
| LiveBench Data Analysis | 72.1% | — |
| LiveBench | 78.8% | — |
Math GPT-5.1 leads
GPT-5.1: 52.2 (#51), Grok 4.3: 46.0 (#74)
| Benchmark | GPT-5.1 | Grok 4.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.6% | 93.3% |
| LMArena Math | 1447 | 1388 |
| FrontierMath (Tiers 1-3) | — | 42.8% |
| FrontierMath Tier 4 | — | 14.6% |
| ProofBench | — | 11% |
| Omni-MATH | 46.4% | — |
| LiveBench Math | 94.5% | — |
| FrontierMath (Feb 2025 set) | 31% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge Grok 4.3 leads
GPT-5.1: 50.6 (#71), Grok 4.3: 52.5 (#62)
| Benchmark | GPT-5.1 | Grok 4.3 |
|---|---|---|
| GPQA Diamond | 87.6% | 88.8% |
| SimpleQA Verified | 48% | 33.2% |
| LMArena Expert | 1470 | 1385 |
| Humanity's Last Exam | 23.7% | — |
| MMLU-Pro | 57.9% | — |
| Vectara Hallucination Rate | 10.9% | — |
| GPQA (HELM) | 44.2% | — |
Multimodal GPT-5.1 leads
GPT-5.1: 44.8 (#19), Grok 4.3: 31.6 (#104)
| Benchmark | GPT-5.1 | Grok 4.3 |
|---|---|---|
| LMArena Vision | 1250 | 1229 |
| VPCT | 58.7% | — |
| Blueprint-Bench 2 | — | 0% |
| LMArena Document | 1403 | — |
Multilingual GPT-5.1 leads
GPT-5.1: 53.8 (#56), Grok 4.3: 50.5 (#120)
| Benchmark | GPT-5.1 | Grok 4.3 |
|---|---|---|
| LMArena Non-English | 1431 | 1385 |
| LMArena Chinese | 1495 | 1422 |
| LMArena French | 1450 | 1412 |
| LMArena German | 1438 | 1395 |
| LMArena Japanese | 1453 | 1379 |
| LMArena Korean | 1401 | 1356 |
| LMArena Russian | 1435 | 1399 |
| LMArena Spanish | 1433 | 1398 |
Instruction Following GPT-5.1 leads
GPT-5.1: 83.9 (#1), Grok 4.3: 72.1 (#140)
| Benchmark | GPT-5.1 | Grok 4.3 |
|---|---|---|
| LMArena Instruction Following | 1443 | 1366 |
| LiveBench Instruction Following | 93.3% | — |
| IFEval | 93.5% | — |
Long Context GPT-5.1 leads
GPT-5.1: 47.6 (#14), Grok 4.3: 42.5 (#123)
| Benchmark | GPT-5.1 | Grok 4.3 |
|---|---|---|
| LMArena Longer Query | 1447 | 1393 |
| CL-bench | 23.7% | — |
| CL-bench Life | 17.3% | — |
Writing & Preference GPT-5.1 leads
GPT-5.1: 64.5 (#55), Grok 4.3: 58.5 (#118)
| Benchmark | GPT-5.1 | Grok 4.3 |
|---|---|---|
| LMArena Text | 1443 | 1397 |
| LMArena Creative Writing | 1427 | 1380 |
| LMArena Multi-Turn | 1450 | 1406 |
| WildBench | 86.3% | — |
| EQ-Bench 4 | — | 1075 |
| LiveBench Language | 80.2% | — |
Frequently asked questions
Is GPT-5.1 better than Grok 4.3?
GPT-5.1 is the stronger model overall, scoring 49.0 to 43.8 on the Noometry Index. Grok 4.3 costs 2.2× 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 Grok 4.3?
Grok 4.3 is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; GPT-5.1 lists at $1.25 and $10.
Is GPT-5.1 or Grok 4.3 better for coding?
GPT-5.1 scores higher on coding benchmarks: 46.4 versus 41.6 in the Noometry coding category.
Which has the bigger context window?
Grok 4.3 does, with 1M tokens against 400K.
How many benchmarks do GPT-5.1 and Grok 4.3 share?
33 benchmarks have published results for both models. GPT-5.1 has 63 scored results on Noometry and Grok 4.3 has 40.