# GPT-4.1 nano vs Grok 4.3

> Grok 4.3 is the stronger model overall, scoring 43.8 to 27.9 on the Noometry Index. GPT-4.1 nano costs 8.9× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-4-1-nano-vs-grok-4-3
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and Grok 4.3 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.3 leads 52.5 to 21.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 28.9% for GPT-4.1 nano and 93.3% for Grok 4.3.
- GPT-4.1 nano is cheaper at $0.10 / $0.40 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- GPT-4.1 nano accepts more context: 1.05M tokens versus 1M.

## Snapshot

| | GPT-4.1 nano | Grok 4.3 |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 27.9 | 43.8 |
| Rank | 327 | 86 |
| Context | 1.05M | 1M |
| Input $/M | $0.10 | $1.25 |
| Output $/M | $0.40 | $2.50 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-4.1 nano: 24.1 (#330)
- Grok 4.3: 41.6 (#121)

| Benchmark | GPT-4.1 nano | Grok 4.3 |
|---|---|---|
| SciCode | 25.9% | 47.3% |
| WeirdML | 19% | 49.9% |
| LMArena Coding | 1306 | 1415 |
| Aider Polyglot | 8.9% | — |
| LMArena WebDev | — | 1357 |
| ALE-Bench | — | 944.17 |

## Agentic & Tool Use

- GPT-4.1 nano: 26.5 (#104)
- Grok 4.3: 27.7 (#99)

| Benchmark | GPT-4.1 nano | Grok 4.3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |
| GDP.pdf | — | 8% |
| LMArena Search | — | 1165 |
| Vending-Bench 2 | — | 35.26 |

## Reasoning

- GPT-4.1 nano: 8.5 (#349)
- Grok 4.3: 35.9 (#68)

| Benchmark | GPT-4.1 nano | Grok 4.3 |
|---|---|---|
| CritPt | 0% | 8% |
| LMArena Hard Prompts | 1286 | 1396 |
| DTBench | 52.5% | 90.7% |
| LMCA | 5.5% | 38.3% |
| Epoch Capabilities Index | 129.62 | 149.16 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 33.3% | — |
| NYT Connections (extended) | — | 55.2% |
| ARC-AGI-1 | 0% | — |
| Chess Puzzles | — | 25% |
| ForecastBench | — | 60.3 |

## Math

- GPT-4.1 nano: 26.9 (#252)
- Grok 4.3: 46.0 (#74)

| Benchmark | GPT-4.1 nano | Grok 4.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 28.9% | 93.3% |
| LMArena Math | 1274 | 1388 |
| FrontierMath (Tiers 1-3) | — | 42.8% |
| FrontierMath Tier 4 | — | 14.6% |
| ProofBench | — | 11% |
| Omni-MATH | 36.7% | — |
| MATH Level 5 | 70% | — |
| FrontierMath (Feb 2025 set) | 1% | — |

## Knowledge

- GPT-4.1 nano: 21.8 (#273)
- Grok 4.3: 52.5 (#62)

| Benchmark | GPT-4.1 nano | Grok 4.3 |
|---|---|---|
| GPQA Diamond | 48.9% | 88.8% |
| SimpleQA Verified | 6% | 33.2% |
| LMArena Expert | 1272 | 1385 |
| MMLU-Pro | 55% | — |
| GPQA (HELM) | 50.7% | — |

## Multimodal

- GPT-4.1 nano: 29.2 (#113)
- Grok 4.3: 31.6 (#104)

| Benchmark | GPT-4.1 nano | Grok 4.3 |
|---|---|---|
| LMArena Vision | 1063 | 1229 |
| Blueprint-Bench 2 | — | 0% |

## Multilingual

- GPT-4.1 nano: 41.6 (#205)
- Grok 4.3: 50.5 (#120)

| Benchmark | GPT-4.1 nano | Grok 4.3 |
|---|---|---|
| LMArena Non-English | 1260 | 1385 |
| LMArena Chinese | 1270 | 1422 |
| LMArena German | 1288 | 1395 |
| LMArena Japanese | 1198 | 1379 |
| LMArena Russian | 1261 | 1399 |
| LMArena French | — | 1412 |
| LMArena Korean | — | 1356 |
| LMArena Spanish | — | 1398 |

## Instruction Following

- GPT-4.1 nano: 67.8 (#193)
- Grok 4.3: 72.1 (#140)

| Benchmark | GPT-4.1 nano | Grok 4.3 |
|---|---|---|
| LMArena Instruction Following | 1267 | 1366 |
| IFEval | 84.3% | — |

## Long Context

- GPT-4.1 nano: 23.7 (#296)
- Grok 4.3: 42.5 (#123)

| Benchmark | GPT-4.1 nano | Grok 4.3 |
|---|---|---|
| LMArena Longer Query | 1283 | 1393 |
| Fiction.LiveBench | 25% | — |

## Writing & Preference

- GPT-4.1 nano: 40.5 (#243)
- Grok 4.3: 58.5 (#118)

| Benchmark | GPT-4.1 nano | Grok 4.3 |
|---|---|---|
| LMArena Text | 1285 | 1397 |
| LMArena Creative Writing | 1260 | 1380 |
| LMArena Multi-Turn | 1277 | 1406 |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |
| EQ-Bench 4 | — | 1075 |

## FAQ

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

Grok 4.3 is the stronger model overall, scoring 43.8 to 27.9 on the Noometry Index. GPT-4.1 nano costs 8.9× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

### Which is cheaper, GPT-4.1 nano or Grok 4.3?

GPT-4.1 nano is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.

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

Grok 4.3 scores higher on coding benchmarks: 41.6 versus 24.1 in the Noometry coding category.

### Which has the bigger context window?

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

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

24 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Grok 4.3 has 40.