Model comparison
GPT-5.4 mini vs Grok 4.20 (Non-Reasoning)
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 45.0 on the Noometry Index.
Last verified . 38 shared benchmarks.
Summary
- They share 38 benchmarks with published results for both. GPT-5.4 mini scores higher in 2 categories and Grok 4.20 (Non-Reasoning) in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.3 to 30.4.
- The biggest single-benchmark swing is ARC-AGI-2: 18.9% for GPT-5.4 mini and 65.1% for Grok 4.20 (Non-Reasoning).
- Grok 4.20 (Non-Reasoning) is cheaper at $1.25 / $2.50 per million input/output tokens, against $0.75 / $4.50 for GPT-5.4 mini.
- Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 400K.
Side by side
| GPT-5.4 mini | Grok 4.20 (Non-Reasoning) | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 45.0 | 48.6 |
| Released | 2026-03-17 | 2026-02-17 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1M |
| Max output | 128K | 30K |
| Input $ / M tokens | $0.75 | $1.25 |
| Output $ / M tokens | $4.50 | $2.50 |
| Results tracked | 46 | 46 |
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Category by category
Coding GPT-5.4 mini leads
GPT-5.4 mini: 45.2 (#72), Grok 4.20 (Non-Reasoning): 42.1 (#112)
| Benchmark | GPT-5.4 mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena WebDev | 1397 | 1375 |
| WeirdML | 60.3% | 52.3% |
| LMArena Coding | 1438 | 1459 |
| ALE-Bench | 1,189 | 1,150 |
| FrontierCode | 27% | — |
| SciCode | 49.9% | — |
Agentic & Tool Use Grok 4.20 (Non-Reasoning) leads
GPT-5.4 mini: 29.9 (#81), Grok 4.20 (Non-Reasoning): 34.4 (#46)
| Benchmark | GPT-5.4 mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Terminal-Bench | — | 57.3% |
| τ²-bench Banking | — | 18% |
| DeepResearch Bench | 36.3% | — |
| LMArena Search | — | 1189 |
| Vending-Bench 2 | — | 4,663 |
Reasoning Grok 4.20 (Non-Reasoning) leads
GPT-5.4 mini: 30.4 (#85), Grok 4.20 (Non-Reasoning): 52.3 (#32)
| Benchmark | GPT-5.4 mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| ARC-AGI-2 | 18.9% | 65.1% |
| Kagi LLM Benchmark | 37.9% | 75% |
| NYT Connections (extended) | 61.8% | 85.4% |
| ARC-AGI-1 | 63.7% | 89.5% |
| Chess Puzzles | 24% | 24% |
| Thematic Generalization | 61.7% | 63.8% |
| LMArena Hard Prompts | 1424 | 1451 |
| DTBench | 80% | 90.1% |
| LMCA | 40.8% | 38.7% |
| Epoch Capabilities Index | 148.84 | 151.98 |
| ForecastBench | 57 | 61.4 |
| CritPt | 10% | — |
| Mystery Game Puzzles | 11% | — |
Math Grok 4.20 (Non-Reasoning) leads
GPT-5.4 mini: 45.5 (#75), Grok 4.20 (Non-Reasoning): 48.2 (#65)
| Benchmark | GPT-5.4 mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| FrontierMath (Tiers 1-3) | 51.2% | 44.9% |
| FrontierMath Tier 4 | 9.8% | 17.1% |
| OTIS Mock AIME 2024-2025 | 88.9% | 92.2% |
| ProofBench | 21% | 14% |
| LMArena Math | 1419 | 1455 |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Grok 4.20 (Non-Reasoning) leads
GPT-5.4 mini: 51.5 (#67), Grok 4.20 (Non-Reasoning): 52.8 (#60)
| Benchmark | GPT-5.4 mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| GPQA Diamond | 86.9% | 89.3% |
| SimpleQA Verified | 29.4% | 30.2% |
| LMArena Expert | 1435 | 1439 |
| Vectara Hallucination Rate | 5.5% | — |
Multimodal GPT-5.4 mini leads
GPT-5.4 mini: 39.7 (#56), Grok 4.20 (Non-Reasoning): 33.3 (#98)
| Benchmark | GPT-5.4 mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Vision | 1245 | 1263 |
| Blueprint-Bench 2 | — | 0% |
| LMArena Document | — | 1416 |
Multilingual Grok 4.20 (Non-Reasoning) leads
GPT-5.4 mini: 51.9 (#96), Grok 4.20 (Non-Reasoning): 54.5 (#40)
| Benchmark | GPT-5.4 mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Non-English | 1405 | 1441 |
| LMArena Chinese | 1446 | 1481 |
| LMArena French | 1440 | 1476 |
| LMArena German | 1409 | 1465 |
| LMArena Japanese | 1374 | 1449 |
| LMArena Korean | 1368 | 1417 |
| LMArena Russian | 1417 | 1458 |
| LMArena Spanish | 1405 | 1443 |
Instruction Following Too close to call
GPT-5.4 mini: 74.1 (#102), Grok 4.20 (Non-Reasoning): 74.8 (#83)
| Benchmark | GPT-5.4 mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Instruction Following | 1405 | 1420 |
Long Context Grok 4.20 (Non-Reasoning) leads
GPT-5.4 mini: 43.0 (#112), Grok 4.20 (Non-Reasoning): 45.5 (#34)
| Benchmark | GPT-5.4 mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Longer Query | 1407 | 1437 |
| CL-bench | — | 22.2% |
| CL-bench Life | — | 11.9% |
Writing & Preference Grok 4.20 (Non-Reasoning) leads
GPT-5.4 mini: 64.0 (#58), Grok 4.20 (Non-Reasoning): 65.7 (#44)
| Benchmark | GPT-5.4 mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Text | 1412 | 1451 |
| LMArena Creative Writing | 1370 | 1438 |
| EQ-Bench Creative Writing | 1665 | 1574 |
| LMArena Multi-Turn | 1429 | 1456 |
Frequently asked questions
Is GPT-5.4 mini better than Grok 4.20 (Non-Reasoning)?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 45.0 on the Noometry Index.
Which is cheaper, GPT-5.4 mini or Grok 4.20 (Non-Reasoning)?
Grok 4.20 (Non-Reasoning) is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; GPT-5.4 mini lists at $0.75 and $4.50.
Is GPT-5.4 mini or Grok 4.20 (Non-Reasoning) better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 42.1 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 (Non-Reasoning) does, with 1M tokens against 400K.
How many benchmarks do GPT-5.4 mini and Grok 4.20 (Non-Reasoning) share?
38 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Grok 4.20 (Non-Reasoning) has 46.