Model comparison
GPT-4o mini vs Grok 4.20 (Non-Reasoning)
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 25.5 on the Noometry Index. GPT-4o mini costs 6.0× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.
Last verified . 30 shared benchmarks.
Summary
- They share 30 benchmarks with published results for both. GPT-4o mini scores higher in 0 categories and Grok 4.20 (Non-Reasoning) in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.3 to 8.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.9% for GPT-4o mini and 92.2% for Grok 4.20 (Non-Reasoning).
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 (Non-Reasoning).
- Grok 4.20 (Non-Reasoning) accepts more context: 1M tokens versus 128K.
Side by side
| GPT-4o mini | Grok 4.20 (Non-Reasoning) | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 25.5 | 48.6 |
| Released | 2024-07-18 | 2026-02-17 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1M |
| Max output | 16K | 30K |
| Input $ / M tokens | $0.15 | $1.25 |
| Output $ / M tokens | $0.60 | $2.50 |
| Results tracked | 60 | 46 |
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Category by category
Coding Grok 4.20 (Non-Reasoning) leads
GPT-4o mini: 22.0 (#335), Grok 4.20 (Non-Reasoning): 42.1 (#112)
| Benchmark | GPT-4o mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| WeirdML | 11.8% | 52.3% |
| LMArena Coding | 1290 | 1459 |
| Aider Polyglot | 3.6% | — |
| LMArena WebDev | — | 1375 |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 43.1% | — |
| BigCodeBench Complete | 57.4% | — |
| ALE-Bench | — | 1,150 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use Grok 4.20 (Non-Reasoning) leads
GPT-4o mini: 27.5 (#101), Grok 4.20 (Non-Reasoning): 34.4 (#46)
| Benchmark | GPT-4o mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Terminal-Bench | — | 57.3% |
| τ²-bench Banking | — | 18% |
| BALROG | 17.4% | — |
| LMArena Search | — | 1189 |
| Vending-Bench 2 | — | 4,663 |
Reasoning Grok 4.20 (Non-Reasoning) leads
GPT-4o mini: 8.7 (#347), Grok 4.20 (Non-Reasoning): 52.3 (#32)
| Benchmark | GPT-4o mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| ARC-AGI-2 | 0% | 65.1% |
| Kagi LLM Benchmark | 28.8% | 75% |
| Chess Puzzles | 0% | 24% |
| LMArena Hard Prompts | 1267 | 1451 |
| DTBench | 54.4% | 90.1% |
| LMCA | 10.4% | 38.7% |
| Epoch Capabilities Index | 126.56 | 151.98 |
| SimpleBench | 10.7% | — |
| NYT Connections (extended) | — | 85.4% |
| ARC-AGI-1 | — | 89.5% |
| Thematic Generalization | — | 63.8% |
| LiveBench Reasoning | 32.8% | — |
| Mystery Game Puzzles | 12% | — |
| LiveBench Data Analysis | 50% | — |
| ForecastBench | — | 61.4 |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
Math Grok 4.20 (Non-Reasoning) leads
GPT-4o mini: 10.4 (#314), Grok 4.20 (Non-Reasoning): 48.2 (#65)
| Benchmark | GPT-4o mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | 44.9% |
| OTIS Mock AIME 2024-2025 | 6.9% | 92.2% |
| LMArena Math | 1267 | 1455 |
| FrontierMath Tier 4 | — | 17.1% |
| ProofBench | — | 14% |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| MATH Level 5 | 52.6% | — |
| GSM8K | 91.3% | — |
Knowledge Grok 4.20 (Non-Reasoning) leads
GPT-4o mini: 17.7 (#284), Grok 4.20 (Non-Reasoning): 52.8 (#60)
| Benchmark | GPT-4o mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| GPQA Diamond | 37.7% | 89.3% |
| SimpleQA Verified | 8.3% | 30.2% |
| LMArena Expert | 1235 | 1439 |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| BoolQ | 88.7% | — |
| MMLU | 81.8% | — |
Multimodal Grok 4.20 (Non-Reasoning) leads
GPT-4o mini: 25.9 (#122), Grok 4.20 (Non-Reasoning): 33.3 (#98)
| Benchmark | GPT-4o mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Vision | 1066 | 1263 |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
| Blueprint-Bench 2 | — | 0% |
| LMArena Document | — | 1416 |
Multilingual Grok 4.20 (Non-Reasoning) leads
GPT-4o mini: 42.0 (#199), Grok 4.20 (Non-Reasoning): 54.5 (#40)
| Benchmark | GPT-4o mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Non-English | 1266 | 1441 |
| LMArena Chinese | 1265 | 1481 |
| LMArena French | 1297 | 1476 |
| LMArena German | 1272 | 1465 |
| LMArena Japanese | 1216 | 1449 |
| LMArena Korean | 1195 | 1417 |
| LMArena Russian | 1275 | 1458 |
| LMArena Spanish | 1276 | 1443 |
Instruction Following Grok 4.20 (Non-Reasoning) leads
GPT-4o mini: 61.9 (#239), Grok 4.20 (Non-Reasoning): 74.8 (#83)
| Benchmark | GPT-4o mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Instruction Following | 1258 | 1420 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
Long Context Grok 4.20 (Non-Reasoning) leads
GPT-4o mini: 39.1 (#186), Grok 4.20 (Non-Reasoning): 45.5 (#34)
| Benchmark | GPT-4o mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Longer Query | 1289 | 1437 |
| CL-bench | — | 22.2% |
| CL-bench Life | — | 11.9% |
Writing & Preference Grok 4.20 (Non-Reasoning) leads
GPT-4o mini: 39.5 (#248), Grok 4.20 (Non-Reasoning): 65.7 (#44)
| Benchmark | GPT-4o mini | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Text | 1286 | 1451 |
| LMArena Creative Writing | 1268 | 1438 |
| EQ-Bench Creative Writing | 873 | 1574 |
| LMArena Multi-Turn | 1285 | 1456 |
| Short-Story Creative Writing | 67.2% | — |
| WildBench | 79.1% | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Grok 4.20 (Non-Reasoning)?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 25.5 on the Noometry Index. GPT-4o mini costs 6.0× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.
Which is cheaper, GPT-4o mini or Grok 4.20 (Non-Reasoning)?
GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Grok 4.20 (Non-Reasoning) lists at $1.25 and $2.50.
Is GPT-4o mini or Grok 4.20 (Non-Reasoning) better for coding?
Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 42.1 versus 22.0 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 (Non-Reasoning) does, with 1M tokens against 128K.
How many benchmarks do GPT-4o mini and Grok 4.20 (Non-Reasoning) share?
30 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Grok 4.20 (Non-Reasoning) has 46.