# GPT-4.1 vs Grok 4.3

> Grok 4.3 is the stronger model overall, scoring 43.6 to 35.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-vs-grok-4-3
- Last updated: 2026-10-10
- Shared benchmarks: 29

## Summary

- They share 29 benchmarks with published results for both. GPT-4.1 scores higher in 2 categories and Grok 4.3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4.3 leads 45.8 to 21.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 38.3% for GPT-4.1 and 93.3% for Grok 4.3.
- Grok 4.3 is cheaper at $1.25 / $2.50 per million input/output tokens, against $2 / $8 for GPT-4.1.
- GPT-4.1 accepts more context: 1.05M tokens versus 1M.

## Snapshot

| | GPT-4.1 | Grok 4.3 |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 35.7 | 43.6 |
| Rank | 215 | 80 |
| Context | 1.05M | 1M |
| Input $/M | $2 | $1.25 |
| Output $/M | $8 | $2.50 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4.1: 34.2 (#228)
- Grok 4.3: 41.3 (#117)

| Benchmark | GPT-4.1 | Grok 4.3 |
|---|---|---|
| WeirdML | 39% | 49.9% |
| LMArena Coding | 1391 | 1415 |
| ALE-Bench | 558.1 | 944.17 |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| LMArena WebDev | — | 1357 |
| SciCode | — | 47.3% |
| CadEval | 42% | — |

## Agentic & Tool Use

- GPT-4.1: 34.4 (#40)
- Grok 4.3: 27.6 (#93)

| Benchmark | GPT-4.1 | Grok 4.3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |
| GDP.pdf | — | 8% |
| LMArena Search | — | 1165 |
| Vending-Bench 2 | — | 35.26 |

## Reasoning

- GPT-4.1: 11.7 (#334)
- Grok 4.3: 34.9 (#60)

| Benchmark | GPT-4.1 | Grok 4.3 |
|---|---|---|
| Chess Puzzles | 6% | 25% |
| LMArena Hard Prompts | 1384 | 1397 |
| DTBench | 68.3% | 90.7% |
| LMCA | 25.6% | 38.3% |
| Epoch Capabilities Index | 136.79 | 149.13 |
| ForecastBench | 61.5 | 60.3 |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| Kagi LLM Benchmark | 52.3% | — |
| NYT Connections (extended) | — | 55.2% |
| ARC-AGI-1 | 5.5% | — |
| CritPt | — | 8% |
| EnigmaEval | 2.2% | — |

## Math

- GPT-4.1: 21.4 (#269)
- Grok 4.3: 45.8 (#60)

| Benchmark | GPT-4.1 | Grok 4.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6% | 42.8% |
| OTIS Mock AIME 2024-2025 | 38.3% | 93.3% |
| LMArena Math | 1369 | 1388 |
| FrontierMath Tier 4 | — | 14.6% |
| ProofBench | — | 11% |
| Omni-MATH | 47.1% | — |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |

## Knowledge

- GPT-4.1: 37.0 (#152)
- Grok 4.3: 52.5 (#57)

| Benchmark | GPT-4.1 | Grok 4.3 |
|---|---|---|
| GPQA Diamond | 66.9% | 88.8% |
| SimpleQA Verified | 31.1% | 33.2% |
| LMArena Expert | 1364 | 1385 |
| Humanity's Last Exam | 5.4% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |

## Multimodal

- GPT-4.1: 37.5 (#66)
- Grok 4.3: 31.6 (#96)

| Benchmark | GPT-4.1 | Grok 4.3 |
|---|---|---|
| LMArena Vision | 1210 | 1231 |
| GeoBench | 72% | — |
| Blueprint-Bench 2 | — | 0% |

## Multilingual

- GPT-4.1: 49.6 (#128)
- Grok 4.3: 50.7 (#114)

| Benchmark | GPT-4.1 | Grok 4.3 |
|---|---|---|
| LMArena Non-English | 1370 | 1385 |
| LMArena Chinese | 1382 | 1423 |
| LMArena French | 1383 | 1412 |
| LMArena German | 1380 | 1395 |
| LMArena Japanese | 1320 | 1379 |
| LMArena Korean | 1339 | 1357 |
| LMArena Russian | 1377 | 1399 |
| LMArena Spanish | 1375 | 1402 |

## Instruction Following

- GPT-4.1: 71.5 (#148)
- Grok 4.3: 72.3 (#135)

| Benchmark | GPT-4.1 | Grok 4.3 |
|---|---|---|
| LMArena Instruction Following | 1367 | 1366 |
| IFEval | 83.8% | — |

## Long Context

- GPT-4.1: 40.0 (#158)
- Grok 4.3: 42.5 (#118)

| Benchmark | GPT-4.1 | Grok 4.3 |
|---|---|---|
| LMArena Longer Query | 1385 | 1393 |
| Fiction.LiveBench | 63.9% | — |

## Writing & Preference

- GPT-4.1: 57.8 (#120)
- Grok 4.3: 58.6 (#112)

| Benchmark | GPT-4.1 | Grok 4.3 |
|---|---|---|
| LMArena Text | 1383 | 1397 |
| LMArena Creative Writing | 1363 | 1380 |
| LMArena Multi-Turn | 1398 | 1406 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |
| EQ-Bench 4 | — | 1075 |

## FAQ

### Is GPT-4.1 better than Grok 4.3?

Grok 4.3 is the stronger model overall, scoring 43.6 to 35.7 on the Noometry Index.

### Which is cheaper, GPT-4.1 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-4.1 lists at $2 and $8.

### Is GPT-4.1 or Grok 4.3 better for coding?

Grok 4.3 scores higher on coding benchmarks: 41.3 versus 34.2 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 does, with 1.05M tokens against 1M.

### How many benchmarks do GPT-4.1 and Grok 4.3 share?

29 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and Grok 4.3 has 40.