Model comparison
GPT-4 Turbo vs Grok-2 (Dec 2024)
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.5 on the Noometry Index.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. GPT-4 Turbo scores higher in 1 category and Grok-2 (Dec 2024) in 7 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok-2 (Dec 2024) leads 20.8 to 9.0.
- The biggest single-benchmark swing is MATH Level 5: 46.7% for GPT-4 Turbo and 63.5% for Grok-2 (Dec 2024).
Side by side
| GPT-4 Turbo | Grok-2 (Dec 2024) | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 30.5 | 33.7 |
| Released | 2023-11-06 | 2024-08-13 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $30 | — |
| Results tracked | 36 | 34 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
GPT-4 Turbo: 33.8 (#249), Grok-2 (Dec 2024): 33.3 (#258)
| Benchmark | GPT-4 Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| WeirdML | 18% | 22.2% |
| LMArena Coding | 1268 | 1287 |
| BigCodeBench Instruct | 48.2% | — |
| LiveBench Coding | — | 46.4% |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Grok-2 (Dec 2024): —
| Benchmark | GPT-4 Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| METR Time Horizons | 36.7% | — |
Reasoning Grok-2 (Dec 2024) leads
GPT-4 Turbo: 15.3 (#317), Grok-2 (Dec 2024): 16.9 (#299)
| Benchmark | GPT-4 Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| SimpleBench | 25.1% | 22.7% |
| LMArena Hard Prompts | 1251 | 1272 |
| DTBench | 61.6% | 65.2% |
| Epoch Capabilities Index | 127.25 | 130.48 |
| Chess Puzzles | 6% | — |
| LiveBench Reasoning | — | 54.8% |
| LiveBench Data Analysis | — | 54.5% |
| LMCA | 9.8% | — |
| ForecastBench | 59.4 | — |
| LiveBench | — | 54.3% |
Math Grok-2 (Dec 2024) leads
GPT-4 Turbo: 9.0 (#322), Grok-2 (Dec 2024): 20.8 (#284)
| Benchmark | GPT-4 Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.7% | 11.5% |
| LMArena Math | 1272 | 1283 |
| MATH Level 5 | 46.7% | 63.5% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| LiveBench Math | — | 54.9% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Grok-2 (Dec 2024) leads
GPT-4 Turbo: 24.3 (#268), Grok-2 (Dec 2024): 29.8 (#233)
| Benchmark | GPT-4 Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| GPQA Diamond | 46.6% | 53.8% |
| Confabulations | 28.4% | 20.1% |
| LMArena Expert | 1223 | 1254 |
| MMLU | 81.3% | — |
Multimodal Not comparable
GPT-4 Turbo: 30.6 (#110), Grok-2 (Dec 2024): —
| Benchmark | GPT-4 Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Vision | 1090 | — |
Multilingual Grok-2 (Dec 2024) leads
GPT-4 Turbo: 40.5 (#216), Grok-2 (Dec 2024): 43.1 (#188)
| Benchmark | GPT-4 Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1245 | 1282 |
| LMArena Chinese | 1242 | 1289 |
| LMArena French | 1276 | 1318 |
| LMArena German | 1259 | 1287 |
| LMArena Japanese | 1194 | 1244 |
| LMArena Korean | 1187 | 1237 |
| LMArena Russian | 1259 | 1286 |
| LMArena Spanish | 1260 | 1281 |
Instruction Following Grok-2 (Dec 2024) leads
GPT-4 Turbo: 65.8 (#216), Grok-2 (Dec 2024): 66.9 (#202)
| Benchmark | GPT-4 Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1249 | 1270 |
| LiveBench Instruction Following | — | 69.6% |
Long Context Too close to call
GPT-4 Turbo: 38.0 (#206), Grok-2 (Dec 2024): 38.8 (#190)
| Benchmark | GPT-4 Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1254 | 1276 |
Writing & Preference Too close to call
GPT-4 Turbo: 47.7 (#206), Grok-2 (Dec 2024): 48.6 (#198)
| Benchmark | GPT-4 Turbo | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1272 | 1305 |
| LMArena Creative Writing | 1269 | 1284 |
| LMArena Multi-Turn | 1267 | 1290 |
| Short-Story Creative Writing | — | 63.6% |
| LiveBench Language | — | 45.6% |
Frequently asked questions
Is GPT-4 Turbo better than Grok-2 (Dec 2024)?
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.5 on the Noometry Index.
Is GPT-4 Turbo or Grok-2 (Dec 2024) better for coding?
They score almost the same on coding (33.8 vs 33.3); test both on your own repository before choosing.
How many benchmarks do GPT-4 Turbo and Grok-2 (Dec 2024) share?
25 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Grok-2 (Dec 2024) has 34.