Model comparison
GPT-5 Mini vs Grok 4.3
Grok 4.3 is the stronger model overall, scoring 43.8 to 41.8 on the Noometry Index. GPT-5 Mini costs 2.3× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.
Last verified . 34 shared benchmarks.
Summary
- They share 34 benchmarks with published results for both. GPT-5 Mini scores higher in 4 categories and Grok 4.3 in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.3 leads 35.9 to 23.9.
- The biggest single-benchmark swing is GPQA Diamond: 75% for GPT-5 Mini and 88.8% for Grok 4.3.
- GPT-5 Mini is cheaper at $0.25 / $2 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- Grok 4.3 accepts more context: 1M tokens versus 400K.
Side by side
| GPT-5 Mini | Grok 4.3 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 41.8 | 43.8 |
| Released | 2025-08-07 | 2026-04-17 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1M |
| Max output | 128K | 30K |
| Input $ / M tokens | $0.25 | $1.25 |
| Output $ / M tokens | $2 | $2.50 |
| Results tracked | 60 | 40 |
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Category by category
Coding Grok 4.3 leads
GPT-5 Mini: 40.1 (#146), Grok 4.3: 41.6 (#121)
| Benchmark | GPT-5 Mini | Grok 4.3 |
|---|---|---|
| SciCode | 39.2% | 47.3% |
| WeirdML | 52.7% | 49.9% |
| LMArena Coding | 1406 | 1415 |
| ALE-Bench | 799.77 | 944.17 |
| SWE-bench Verified | 64.7% | — |
| SWE-bench Verified (bash only) | 59.8% | — |
| LMArena WebDev | — | 1357 |
| SWE-bench Multilingual | 39.7% | — |
| AlgoTune | 1.38 | — |
Agentic & Tool Use GPT-5 Mini leads
GPT-5 Mini: 31.1 (#70), Grok 4.3: 27.7 (#99)
| Benchmark | GPT-5 Mini | Grok 4.3 |
|---|---|---|
| Vending-Bench 2 | -31.18 | 35.26 |
| Terminal-Bench | 34.8% | — |
| Berkeley Function Calling Leaderboard | 55.5% | — |
| GDP.pdf | — | 8% |
| LMArena Search | — | 1165 |
Reasoning Grok 4.3 leads
GPT-5 Mini: 23.9 (#168), Grok 4.3: 35.9 (#68)
| Benchmark | GPT-5 Mini | Grok 4.3 |
|---|---|---|
| CritPt | 0% | 8% |
| Chess Puzzles | 30% | 25% |
| LMArena Hard Prompts | 1380 | 1396 |
| DTBench | 80.5% | 90.7% |
| LMCA | 34.2% | 38.3% |
| Epoch Capabilities Index | 145.52 | 149.16 |
| ForecastBench | 61 | 60.3 |
| ARC-AGI-2 | 4.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 55.2% |
| ARC-AGI-1 | 54.3% | — |
| EnigmaEval | 8.2% | — |
| Mystery Game Puzzles | 10% | — |
Math Too close to call
GPT-5 Mini: 46.7 (#69), Grok 4.3: 46.0 (#74)
| Benchmark | GPT-5 Mini | Grok 4.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 46.7% | 42.8% |
| FrontierMath Tier 4 | 12.2% | 14.6% |
| OTIS Mock AIME 2024-2025 | 86.7% | 93.3% |
| ProofBench | 9% | 11% |
| LMArena Math | 1378 | 1388 |
| Omni-MATH | 72.2% | — |
| MATH Level 5 | 97.8% | — |
| FrontierMath (Feb 2025 set) | 27.2% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge Grok 4.3 leads
GPT-5 Mini: 45.6 (#86), Grok 4.3: 52.5 (#62)
| Benchmark | GPT-5 Mini | Grok 4.3 |
|---|---|---|
| GPQA Diamond | 75% | 88.8% |
| SimpleQA Verified | 21.6% | 33.2% |
| LMArena Expert | 1379 | 1385 |
| Humanity's Last Exam | 19.4% | — |
| MMLU-Pro | 83.5% | — |
| Confabulations | 13.3% | — |
| Vectara Hallucination Rate | 12.9% | — |
| GPQA (HELM) | 75.6% | — |
Multimodal GPT-5 Mini leads
GPT-5 Mini: 35.6 (#85), Grok 4.3: 31.6 (#104)
| Benchmark | GPT-5 Mini | Grok 4.3 |
|---|---|---|
| LMArena Vision | 1202 | 1229 |
| VPCT | 40.2% | — |
| Blueprint-Bench 2 | — | 0% |
Multilingual Grok 4.3 leads
GPT-5 Mini: 48.9 (#137), Grok 4.3: 50.5 (#120)
| Benchmark | GPT-5 Mini | Grok 4.3 |
|---|---|---|
| LMArena Non-English | 1363 | 1385 |
| LMArena Chinese | 1385 | 1422 |
| LMArena French | 1386 | 1412 |
| LMArena German | 1366 | 1395 |
| LMArena Japanese | 1341 | 1379 |
| LMArena Korean | 1308 | 1356 |
| LMArena Russian | 1362 | 1399 |
| LMArena Spanish | 1355 | 1398 |
Instruction Following GPT-5 Mini leads
GPT-5 Mini: 76.2 (#46), Grok 4.3: 72.1 (#140)
| Benchmark | GPT-5 Mini | Grok 4.3 |
|---|---|---|
| LMArena Instruction Following | 1357 | 1366 |
| IFEval | 92.7% | — |
Long Context Too close to call
GPT-5 Mini: 41.9 (#132), Grok 4.3: 42.5 (#123)
| Benchmark | GPT-5 Mini | Grok 4.3 |
|---|---|---|
| LMArena Longer Query | 1355 | 1393 |
| Fiction.LiveBench | 69.4% | — |
Writing & Preference Grok 4.3 leads
GPT-5 Mini: 55.2 (#148), Grok 4.3: 58.5 (#118)
| Benchmark | GPT-5 Mini | Grok 4.3 |
|---|---|---|
| LMArena Text | 1373 | 1397 |
| LMArena Creative Writing | 1325 | 1380 |
| LMArena Multi-Turn | 1363 | 1406 |
| Short-Story Creative Writing | 83.1% | — |
| EQ-Bench Creative Writing | 1313 | — |
| WildBench | 85.5% | — |
| EQ-Bench 4 | — | 1075 |
Frequently asked questions
Is GPT-5 Mini better than Grok 4.3?
Grok 4.3 is the stronger model overall, scoring 43.8 to 41.8 on the Noometry Index. GPT-5 Mini costs 2.3× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.
Which is cheaper, GPT-5 Mini or Grok 4.3?
GPT-5 Mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.
Is GPT-5 Mini or Grok 4.3 better for coding?
Grok 4.3 scores higher on coding benchmarks: 41.6 versus 40.1 in the Noometry coding category.
Which has the bigger context window?
Grok 4.3 does, with 1M tokens against 400K.
How many benchmarks do GPT-5 Mini and Grok 4.3 share?
34 benchmarks have published results for both models. GPT-5 Mini has 60 scored results on Noometry and Grok 4.3 has 40.