Model comparison
GPT-5.4 nano vs Grok 4
Grok 4 is the stronger model overall, scoring 48.1 to 41.9 on the Noometry Index.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. GPT-5.4 nano scores higher in 1 category and Grok 4 in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 leads 63.1 to 41.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 39.7% for GPT-5.4 nano and 73.6% for Grok 4.
Side by side
| GPT-5.4 nano | Grok 4 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 41.9 | 48.1 |
| Released | 2026-03-17 | 2025-07-09 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.25 | — |
| Results tracked | 40 | 48 |
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Category by category
Coding Grok 4 leads
GPT-5.4 nano: 43.6 (#84), Grok 4: 50.3 (#46)
| Benchmark | GPT-5.4 nano | Grok 4 |
|---|---|---|
| WeirdML | 49.2% | 45.7% |
| LMArena Coding | 1405 | 1408 |
| Aider Polyglot | — | 79.6% |
| SciCode | 46.9% | — |
| ALE-Bench | 1,005 | — |
Agentic & Tool Use Not comparable
GPT-5.4 nano: —, Grok 4: 32.3 (#68)
| Benchmark | GPT-5.4 nano | Grok 4 |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 21.1% |
| Cybench | — | 43% |
| DeepResearch Bench | — | 47.3% |
| BALROG | — | 43.6% |
| LMArena Search | — | 1142 |
| METR Time Horizons | — | 66.6% |
Reasoning Grok 4 leads
GPT-5.4 nano: 23.7 (#173), Grok 4: 36.7 (#65)
| Benchmark | GPT-5.4 nano | Grok 4 |
|---|---|---|
| ARC-AGI-2 | 5.7% | 16% |
| Kagi LLM Benchmark | 39.7% | 73.6% |
| ARC-AGI-1 | 51.5% | 66.7% |
| Chess Puzzles | 30% | 28% |
| LMArena Hard Prompts | 1381 | 1409 |
| Epoch Capabilities Index | 145.81 | 146.44 |
| ForecastBench | 57.3 | 60.9 |
| SimpleBench | — | 60.5% |
| CritPt | 9.3% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 36.9% | — |
Math Grok 4 leads
GPT-5.4 nano: 40.9 (#88), Grok 4: 48.4 (#64)
| Benchmark | GPT-5.4 nano | Grok 4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 87.8% | 84% |
| LMArena Math | 1406 | 1422 |
| FrontierMath (Feb 2025 set) | 25.9% | 19.7% |
| FrontierMath Tier 4 (v1) | 6.3% | 2.1% |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| ProofBench | 5% | — |
| Omni-MATH | — | 60.3% |
Knowledge Grok 4 leads
GPT-5.4 nano: 41.9 (#103), Grok 4: 53.8 (#55)
| Benchmark | GPT-5.4 nano | Grok 4 |
|---|---|---|
| GPQA Diamond | 78.5% | 87% |
| LMArena Expert | 1396 | 1415 |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | — | 85.1% |
| Confabulations | — | 12.4% |
| Vectara Hallucination Rate | 3.1% | — |
| GPQA (HELM) | — | 72.7% |
Multimodal GPT-5.4 nano leads
GPT-5.4 nano: 36.7 (#78), Grok 4: 33.7 (#94)
| Benchmark | GPT-5.4 nano | Grok 4 |
|---|---|---|
| LMArena Vision | 1196 | 1210 |
| GeoBench | — | 45% |
Multilingual Grok 4 leads
GPT-5.4 nano: 48.6 (#140), Grok 4: 51.8 (#103)
| Benchmark | GPT-5.4 nano | Grok 4 |
|---|---|---|
| LMArena Non-English | 1359 | 1403 |
| LMArena Chinese | 1392 | 1427 |
| LMArena French | 1396 | 1418 |
| LMArena German | 1367 | 1429 |
| LMArena Japanese | 1343 | 1394 |
| LMArena Korean | 1320 | 1377 |
| LMArena Russian | 1363 | 1410 |
| LMArena Spanish | 1371 | 1420 |
Instruction Following Grok 4 leads
GPT-5.4 nano: 71.9 (#144), Grok 4: 79.2 (#5)
| Benchmark | GPT-5.4 nano | Grok 4 |
|---|---|---|
| LMArena Instruction Following | 1362 | 1387 |
| IFEval | — | 94.9% |
Long Context Grok 4 leads
GPT-5.4 nano: 41.6 (#137), Grok 4: 63.1 (#4)
| Benchmark | GPT-5.4 nano | Grok 4 |
|---|---|---|
| LMArena Longer Query | 1366 | 1409 |
| Fiction.LiveBench | — | 94.4% |
Writing & Preference Grok 4 leads
GPT-5.4 nano: 55.7 (#142), Grok 4: 58.5 (#116)
| Benchmark | GPT-5.4 nano | Grok 4 |
|---|---|---|
| LMArena Text | 1372 | 1411 |
| LMArena Creative Writing | 1314 | 1397 |
| LMArena Multi-Turn | 1382 | 1416 |
| Short-Story Creative Writing | — | 76.9% |
| WildBench | — | 79.7% |
Frequently asked questions
Is GPT-5.4 nano better than Grok 4?
Grok 4 is the stronger model overall, scoring 48.1 to 41.9 on the Noometry Index.
Is GPT-5.4 nano or Grok 4 better for coding?
Grok 4 scores higher on coding benchmarks: 50.3 versus 43.6 in the Noometry coding category.
How many benchmarks do GPT-5.4 nano and Grok 4 share?
29 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Grok 4 has 48.