Model comparison
GPT-4 Turbo vs Grok 4.7
Grok 4.7 is the stronger model overall, scoring 53.1 to 30.5 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. GPT-4 Turbo scores higher in 0 categories and Grok 4.7 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4.7 leads 57.8 to 9.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.7% for GPT-4 Turbo and 98.1% for Grok 4.7.
- Grok 4.7 is cheaper at $2 / $6 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
- Grok 4.7 accepts more context: 500K tokens versus 128K.
Side by side
| GPT-4 Turbo | Grok 4.7 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 30.5 | 53.1 |
| Released | 2023-11-06 | 2026-09-21 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 500K |
| Max output | 4K | 500K |
| Input $ / M tokens | $10 | $2 |
| Output $ / M tokens | $30 | $6 |
| Results tracked | 36 | 39 |
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Category by category
Coding Grok 4.7 leads
GPT-4 Turbo: 33.8 (#249), Grok 4.7: 58.0 (#18)
| Benchmark | GPT-4 Turbo | Grok 4.7 |
|---|---|---|
| LMArena Coding | 1268 | 1427 |
| FrontierCode | — | 47.6% |
| CursorBench | — | 46.3% |
| LMArena WebDev | — | 1639 |
| FrontierSWE | — | 29.5% |
| SciCode | — | 57.8% |
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Grok 4.7: 36.7 (#37)
| Benchmark | GPT-4 Turbo | Grok 4.7 |
|---|---|---|
| APEX-Agents | — | 54.6% |
| GDP.pdf | — | 22.8% |
| METR Time Horizons | 36.7% | — |
| Vending-Bench 2 | — | 10,537 |
Reasoning Grok 4.7 leads
GPT-4 Turbo: 15.3 (#317), Grok 4.7: 49.1 (#40)
| Benchmark | GPT-4 Turbo | Grok 4.7 |
|---|---|---|
| Chess Puzzles | 6% | 38% |
| LMArena Hard Prompts | 1251 | 1413 |
| DTBench | 61.6% | 96% |
| LMCA | 9.8% | 49.4% |
| Epoch Capabilities Index | 127.25 | 153.53 |
| SimpleBench | 25.1% | — |
| NYT Connections (extended) | — | 76.8% |
| CritPt | — | 18% |
| Mystery Game Puzzles | — | 29% |
| ForecastBench | 59.4 | — |
Math Grok 4.7 leads
GPT-4 Turbo: 9.0 (#322), Grok 4.7: 57.8 (#39)
| Benchmark | GPT-4 Turbo | Grok 4.7 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | 53% |
| OTIS Mock AIME 2024-2025 | 6.7% | 98.1% |
| LMArena Math | 1272 | 1407 |
| FrontierMath Tier 4 | — | 17.1% |
| ProofBench | — | 34% |
| MATH Level 5 | 46.7% | — |
Knowledge Grok 4.7 leads
GPT-4 Turbo: 24.3 (#268), Grok 4.7: 62.8 (#22)
| Benchmark | GPT-4 Turbo | Grok 4.7 |
|---|---|---|
| GPQA Diamond | 46.6% | 92.7% |
| LMArena Expert | 1223 | 1422 |
| SimpleQA Verified | — | 56% |
| Confabulations | 28.4% | — |
| MMLU | 81.3% | — |
Multimodal Grok 4.7 leads
GPT-4 Turbo: 30.6 (#110), Grok 4.7: 35.5 (#87)
| Benchmark | GPT-4 Turbo | Grok 4.7 |
|---|---|---|
| LMArena Vision | 1090 | 1228 |
| Blueprint-Bench 2 | — | 32.5% |
| Furniture Assembly | — | 20.8% |
Multilingual Grok 4.7 leads
GPT-4 Turbo: 40.5 (#216), Grok 4.7: 50.8 (#116)
| Benchmark | GPT-4 Turbo | Grok 4.7 |
|---|---|---|
| LMArena Non-English | 1245 | 1389 |
| LMArena Chinese | 1242 | 1455 |
| LMArena French | 1276 | 1455 |
| LMArena Russian | 1259 | 1397 |
| LMArena Spanish | 1260 | 1400 |
| LMArena German | 1259 | — |
| LMArena Japanese | 1194 | — |
| LMArena Korean | 1187 | — |
Instruction Following Grok 4.7 leads
GPT-4 Turbo: 65.8 (#216), Grok 4.7: 74.1 (#105)
| Benchmark | GPT-4 Turbo | Grok 4.7 |
|---|---|---|
| LMArena Instruction Following | 1249 | 1404 |
Long Context Grok 4.7 leads
GPT-4 Turbo: 38.0 (#206), Grok 4.7: 43.1 (#104)
| Benchmark | GPT-4 Turbo | Grok 4.7 |
|---|---|---|
| LMArena Longer Query | 1254 | 1413 |
Writing & Preference Grok 4.7 leads
GPT-4 Turbo: 47.7 (#206), Grok 4.7: 70.0 (#24)
| Benchmark | GPT-4 Turbo | Grok 4.7 |
|---|---|---|
| LMArena Text | 1272 | 1399 |
| LMArena Creative Writing | 1269 | 1391 |
| LMArena Multi-Turn | 1267 | 1393 |
| EQ-Bench Creative Writing | — | 2007 |
Frequently asked questions
Is GPT-4 Turbo better than Grok 4.7?
Grok 4.7 is the stronger model overall, scoring 53.1 to 30.5 on the Noometry Index.
Which is cheaper, GPT-4 Turbo or Grok 4.7?
Grok 4.7 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-4 Turbo lists at $10 and $30.
Is GPT-4 Turbo or Grok 4.7 better for coding?
Grok 4.7 scores higher on coding benchmarks: 58.0 versus 33.8 in the Noometry coding category.
Which has the bigger context window?
Grok 4.7 does, with 500K tokens against 128K.
How many benchmarks do GPT-4 Turbo and Grok 4.7 share?
22 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Grok 4.7 has 39.