Model comparison
GPT-4 Turbo vs Grok 4.3
Grok 4.3 is the stronger model overall, scoring 43.8 to 30.5 on the Noometry Index.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and Grok 4.3 in 9 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4.3 leads 46.0 to 9.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.7% for GPT-4 Turbo and 93.3% for Grok 4.3.
- Grok 4.3 is cheaper at $1.25 / $2.50 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
- Grok 4.3 accepts more context: 1M tokens versus 128K.
Side by side
| GPT-4 Turbo | Grok 4.3 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 30.5 | 43.8 |
| Released | 2023-11-06 | 2026-04-17 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1M |
| Max output | 4K | 30K |
| Input $ / M tokens | $10 | $1.25 |
| Output $ / M tokens | $30 | $2.50 |
| Results tracked | 36 | 40 |
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Category by category
Coding Grok 4.3 leads
GPT-4 Turbo: 33.8 (#249), Grok 4.3: 41.6 (#121)
| Benchmark | GPT-4 Turbo | Grok 4.3 |
|---|---|---|
| WeirdML | 18% | 49.9% |
| LMArena Coding | 1268 | 1415 |
| LMArena WebDev | — | 1357 |
| SciCode | — | 47.3% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 58.2% | — |
| ALE-Bench | — | 944.17 |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Grok 4.3: 27.7 (#99)
| Benchmark | GPT-4 Turbo | Grok 4.3 |
|---|---|---|
| GDP.pdf | — | 8% |
| LMArena Search | — | 1165 |
| METR Time Horizons | 36.7% | — |
| Vending-Bench 2 | — | 35.26 |
Reasoning Grok 4.3 leads
GPT-4 Turbo: 15.3 (#317), Grok 4.3: 35.9 (#68)
| Benchmark | GPT-4 Turbo | Grok 4.3 |
|---|---|---|
| Chess Puzzles | 6% | 25% |
| LMArena Hard Prompts | 1251 | 1396 |
| DTBench | 61.6% | 90.7% |
| LMCA | 9.8% | 38.3% |
| Epoch Capabilities Index | 127.25 | 149.16 |
| ForecastBench | 59.4 | 60.3 |
| SimpleBench | 25.1% | — |
| NYT Connections (extended) | — | 55.2% |
| CritPt | — | 8% |
Math Grok 4.3 leads
GPT-4 Turbo: 9.0 (#322), Grok 4.3: 46.0 (#74)
| Benchmark | GPT-4 Turbo | Grok 4.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | 42.8% |
| OTIS Mock AIME 2024-2025 | 6.7% | 93.3% |
| LMArena Math | 1272 | 1388 |
| FrontierMath Tier 4 | — | 14.6% |
| ProofBench | — | 11% |
| MATH Level 5 | 46.7% | — |
Knowledge Grok 4.3 leads
GPT-4 Turbo: 24.3 (#268), Grok 4.3: 52.5 (#62)
| Benchmark | GPT-4 Turbo | Grok 4.3 |
|---|---|---|
| GPQA Diamond | 46.6% | 88.8% |
| LMArena Expert | 1223 | 1385 |
| SimpleQA Verified | — | 33.2% |
| Confabulations | 28.4% | — |
| MMLU | 81.3% | — |
Multimodal Too close to call
GPT-4 Turbo: 30.6 (#110), Grok 4.3: 31.6 (#104)
| Benchmark | GPT-4 Turbo | Grok 4.3 |
|---|---|---|
| LMArena Vision | 1090 | 1229 |
| Blueprint-Bench 2 | — | 0% |
Multilingual Grok 4.3 leads
GPT-4 Turbo: 40.5 (#216), Grok 4.3: 50.5 (#120)
| Benchmark | GPT-4 Turbo | Grok 4.3 |
|---|---|---|
| LMArena Non-English | 1245 | 1385 |
| LMArena Chinese | 1242 | 1422 |
| LMArena French | 1276 | 1412 |
| LMArena German | 1259 | 1395 |
| LMArena Japanese | 1194 | 1379 |
| LMArena Korean | 1187 | 1356 |
| LMArena Russian | 1259 | 1399 |
| LMArena Spanish | 1260 | 1398 |
Instruction Following Grok 4.3 leads
GPT-4 Turbo: 65.8 (#216), Grok 4.3: 72.1 (#140)
| Benchmark | GPT-4 Turbo | Grok 4.3 |
|---|---|---|
| LMArena Instruction Following | 1249 | 1366 |
Long Context Grok 4.3 leads
GPT-4 Turbo: 38.0 (#206), Grok 4.3: 42.5 (#123)
| Benchmark | GPT-4 Turbo | Grok 4.3 |
|---|---|---|
| LMArena Longer Query | 1254 | 1393 |
Writing & Preference Grok 4.3 leads
GPT-4 Turbo: 47.7 (#206), Grok 4.3: 58.5 (#118)
| Benchmark | GPT-4 Turbo | Grok 4.3 |
|---|---|---|
| LMArena Text | 1272 | 1397 |
| LMArena Creative Writing | 1269 | 1380 |
| LMArena Multi-Turn | 1267 | 1406 |
| EQ-Bench 4 | — | 1075 |
Frequently asked questions
Is GPT-4 Turbo better than Grok 4.3?
Grok 4.3 is the stronger model overall, scoring 43.8 to 30.5 on the Noometry Index.
Which is cheaper, GPT-4 Turbo or Grok 4.3?
Grok 4.3 is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; GPT-4 Turbo lists at $10 and $30.
Is GPT-4 Turbo or Grok 4.3 better for coding?
Grok 4.3 scores higher on coding benchmarks: 41.6 versus 33.8 in the Noometry coding category.
Which has the bigger context window?
Grok 4.3 does, with 1M tokens against 128K.
How many benchmarks do GPT-4 Turbo and Grok 4.3 share?
27 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Grok 4.3 has 40.