Model comparison
GPT-4.1 nano vs Grok-2 (Dec 2024)
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 27.9 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. GPT-4.1 nano scores higher in 2 categories and Grok-2 (Dec 2024) in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok-2 (Dec 2024) leads 38.8 to 23.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 28.9% for GPT-4.1 nano and 11.5% for Grok-2 (Dec 2024).
Side by side
| GPT-4.1 nano | Grok-2 (Dec 2024) | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 27.9 | 33.7 |
| Released | 2025-04-14 | 2024-08-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 38 | 34 |
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Category by category
Coding Grok-2 (Dec 2024) leads
GPT-4.1 nano: 24.1 (#330), Grok-2 (Dec 2024): 33.3 (#258)
| Benchmark | GPT-4.1 nano | Grok-2 (Dec 2024) |
|---|---|---|
| WeirdML | 19% | 22.2% |
| LMArena Coding | 1306 | 1287 |
| Aider Polyglot | 8.9% | — |
| SciCode | 25.9% | — |
| LiveBench Coding | — | 46.4% |
Agentic & Tool Use Not comparable
GPT-4.1 nano: 26.5 (#104), Grok-2 (Dec 2024): —
| Benchmark | GPT-4.1 nano | Grok-2 (Dec 2024) |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |
Reasoning Grok-2 (Dec 2024) leads
GPT-4.1 nano: 8.5 (#349), Grok-2 (Dec 2024): 16.9 (#299)
| Benchmark | GPT-4.1 nano | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Hard Prompts | 1286 | 1272 |
| DTBench | 52.5% | 65.2% |
| Epoch Capabilities Index | 129.62 | 130.48 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | — | 22.7% |
| Kagi LLM Benchmark | 33.3% | — |
| ARC-AGI-1 | 0% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | — | 54.8% |
| LiveBench Data Analysis | — | 54.5% |
| LMCA | 5.5% | — |
| LiveBench | — | 54.3% |
Math GPT-4.1 nano leads
GPT-4.1 nano: 26.9 (#252), Grok-2 (Dec 2024): 20.8 (#284)
| Benchmark | GPT-4.1 nano | Grok-2 (Dec 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 28.9% | 11.5% |
| LMArena Math | 1274 | 1283 |
| MATH Level 5 | 70% | 63.5% |
| FrontierMath (Feb 2025 set) | 1% | 0.7% |
| Omni-MATH | 36.7% | — |
| LiveBench Math | — | 54.9% |
Knowledge Grok-2 (Dec 2024) leads
GPT-4.1 nano: 21.8 (#273), Grok-2 (Dec 2024): 29.8 (#233)
| Benchmark | GPT-4.1 nano | Grok-2 (Dec 2024) |
|---|---|---|
| GPQA Diamond | 48.9% | 53.8% |
| LMArena Expert | 1272 | 1254 |
| SimpleQA Verified | 6% | — |
| MMLU-Pro | 55% | — |
| Confabulations | — | 20.1% |
| GPQA (HELM) | 50.7% | — |
Multimodal Not comparable
GPT-4.1 nano: 29.2 (#113), Grok-2 (Dec 2024): —
| Benchmark | GPT-4.1 nano | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Vision | 1063 | — |
Multilingual Grok-2 (Dec 2024) leads
GPT-4.1 nano: 41.6 (#205), Grok-2 (Dec 2024): 43.1 (#188)
| Benchmark | GPT-4.1 nano | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1260 | 1282 |
| LMArena Chinese | 1270 | 1289 |
| LMArena German | 1288 | 1287 |
| LMArena Japanese | 1198 | 1244 |
| LMArena Russian | 1261 | 1286 |
| LMArena French | — | 1318 |
| LMArena Korean | — | 1237 |
| LMArena Spanish | — | 1281 |
Instruction Following Too close to call
GPT-4.1 nano: 67.8 (#193), Grok-2 (Dec 2024): 66.9 (#202)
| Benchmark | GPT-4.1 nano | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1267 | 1270 |
| LiveBench Instruction Following | — | 69.6% |
| IFEval | 84.3% | — |
Long Context Grok-2 (Dec 2024) leads
GPT-4.1 nano: 23.7 (#296), Grok-2 (Dec 2024): 38.8 (#190)
| Benchmark | GPT-4.1 nano | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1283 | 1276 |
| Fiction.LiveBench | 25% | — |
Writing & Preference Grok-2 (Dec 2024) leads
GPT-4.1 nano: 40.5 (#243), Grok-2 (Dec 2024): 48.6 (#198)
| Benchmark | GPT-4.1 nano | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1285 | 1305 |
| LMArena Creative Writing | 1260 | 1284 |
| LMArena Multi-Turn | 1277 | 1290 |
| Short-Story Creative Writing | — | 63.6% |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |
| LiveBench Language | — | 45.6% |
Frequently asked questions
Is GPT-4.1 nano better than Grok-2 (Dec 2024)?
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 27.9 on the Noometry Index.
Is GPT-4.1 nano or Grok-2 (Dec 2024) better for coding?
Grok-2 (Dec 2024) scores higher on coding benchmarks: 33.3 versus 24.1 in the Noometry coding category.
How many benchmarks do GPT-4.1 nano and Grok-2 (Dec 2024) share?
21 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Grok-2 (Dec 2024) has 34.