Model comparison
GPT-5 Nano vs Grok 4 Fast
Grok 4 Fast is the stronger model overall, scoring 39.0 to 33.4 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. GPT-5 Nano scores higher in 3 categories and Grok 4 Fast in 6 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 Fast leads 63.2 to 31.3.
- The biggest single-benchmark swing is Fiction.LiveBench: 44.4% for GPT-5 Nano and 94.4% for Grok 4 Fast.
Side by side
| GPT-5 Nano | Grok 4 Fast | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 33.4 | 39.0 |
| Released | 2025-08-07 | 2025-09-19 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 48 | 30 |
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Category by category
Coding GPT-5 Nano leads
GPT-5 Nano: 33.3 (#248), Grok 4 Fast: 32.3 (#264)
| Benchmark | GPT-5 Nano | Grok 4 Fast |
|---|---|---|
| WeirdML | 38.1% | 42.9% |
| LMArena Coding | 1351 | 1429 |
| SWE-bench Verified (bash only) | 34.8% | — |
| LMArena WebDev | — | 1160 |
| ALE-Bench | 718.67 | — |
Agentic & Tool Use Grok 4 Fast leads
GPT-5 Nano: 25.6 (#99), Grok 4 Fast: 29.3 (#80)
| Benchmark | GPT-5 Nano | Grok 4 Fast |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |
| τ²-bench Banking | — | 15.7% |
| Cybench | — | 30% |
| LMArena Search | — | 1171 |
Reasoning Grok 4 Fast leads
GPT-5 Nano: 16.4 (#291), Grok 4 Fast: 22.5 (#179)
| Benchmark | GPT-5 Nano | Grok 4 Fast |
|---|---|---|
| ARC-AGI-2 | 2.6% | 5.3% |
| Kagi LLM Benchmark | 62.2% | 66.1% |
| ARC-AGI-1 | 20.7% | 48.5% |
| LMArena Hard Prompts | 1329 | 1413 |
| DTBench | 62.7% | 82.7% |
| Epoch Capabilities Index | 139.39 | 144.21 |
| ForecastBench | 59.1 | 60.5 |
| Chess Puzzles | 27% | — |
| Mystery Game Puzzles | 9% | — |
| LMCA | 7.9% | — |
Math Grok 4 Fast leads
GPT-5 Nano: 29.1 (#221), Grok 4 Fast: 36.1 (#126)
| Benchmark | GPT-5 Nano | Grok 4 Fast |
|---|---|---|
| LMArena Math | 1318 | 1419 |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 81.1% | — |
| ProofBench | 12% | — |
| Omni-MATH | 54.6% | — |
| MATH Level 5 | 95.2% | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-5 Nano leads
GPT-5 Nano: 35.8 (#166), Grok 4 Fast: 31.5 (#211)
| Benchmark | GPT-5 Nano | Grok 4 Fast |
|---|---|---|
| Vectara Hallucination Rate | 10.5% | 19.7% |
| LMArena Expert | 1321 | 1411 |
| GPQA Diamond | 69.4% | — |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| GPQA (HELM) | 67.9% | — |
Multimodal Not comparable
GPT-5 Nano: 30.7 (#102), Grok 4 Fast: —
| Benchmark | GPT-5 Nano | Grok 4 Fast |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |
Multilingual Grok 4 Fast leads
GPT-5 Nano: 45.5 (#167), Grok 4 Fast: 51.5 (#106)
| Benchmark | GPT-5 Nano | Grok 4 Fast |
|---|---|---|
| LMArena Non-English | 1313 | 1397 |
| LMArena Chinese | 1355 | 1458 |
| LMArena German | 1329 | 1383 |
| LMArena Korean | 1269 | 1359 |
| LMArena Russian | 1296 | 1387 |
| LMArena Spanish | 1360 | 1414 |
| LMArena French | — | 1433 |
| LMArena Japanese | — | 1358 |
Instruction Following GPT-5 Nano leads
GPT-5 Nano: 75.2 (#72), Grok 4 Fast: 73.4 (#116)
| Benchmark | GPT-5 Nano | Grok 4 Fast |
|---|---|---|
| LMArena Instruction Following | 1306 | 1388 |
| IFEval | 93.2% | — |
Long Context Grok 4 Fast leads
GPT-5 Nano: 31.3 (#275), Grok 4 Fast: 63.2 (#3)
| Benchmark | GPT-5 Nano | Grok 4 Fast |
|---|---|---|
| Fiction.LiveBench | 44.4% | 94.4% |
| LMArena Longer Query | 1313 | 1415 |
Writing & Preference Grok 4 Fast leads
GPT-5 Nano: 39.4 (#244), Grok 4 Fast: 60.2 (#96)
| Benchmark | GPT-5 Nano | Grok 4 Fast |
|---|---|---|
| LMArena Text | 1320 | 1407 |
| LMArena Creative Writing | 1250 | 1388 |
| LMArena Multi-Turn | 1311 | 1414 |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |
Frequently asked questions
Is GPT-5 Nano better than Grok 4 Fast?
Grok 4 Fast is the stronger model overall, scoring 39.0 to 33.4 on the Noometry Index.
Is GPT-5 Nano or Grok 4 Fast better for coding?
GPT-5 Nano scores higher on coding benchmarks: 33.3 versus 32.3 in the Noometry coding category.
How many benchmarks do GPT-5 Nano and Grok 4 Fast share?
24 benchmarks have published results for both models. GPT-5 Nano has 48 scored results on Noometry and Grok 4 Fast has 30.