Model comparison
GPT-5.6 Terra vs Grok-2 (Dec 2024)
GPT-5.6 Terra is the stronger model overall, scoring 59.1 to 33.4 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GPT-5.6 Terra scores higher in 8 categories and Grok-2 (Dec 2024) in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Terra leads 81.5 to 19.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 99.7% for GPT-5.6 Terra and 11.5% for Grok-2 (Dec 2024).
Side by side
| GPT-5.6 Terra | Grok-2 (Dec 2024) | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 59.1 | 33.4 |
| Released | 2026-07-09 | 2024-08-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $12 | — |
| Results tracked | 52 | 34 |
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Category by category
Coding GPT-5.6 Terra leads
GPT-5.6 Terra: 57.1 (#16), Grok-2 (Dec 2024): 32.9 (#254)
| Benchmark | GPT-5.6 Terra | Grok-2 (Dec 2024) |
|---|---|---|
| WeirdML | 78.3% | 22.2% |
| LMArena Coding | 1484 | 1288 |
| DeepSWE | 69.6% | — |
| FrontierCode | 41.3% | — |
| CursorBench | 41.3% | — |
| LMArena WebDev | 1520 | — |
| SciCode | 55% | — |
| LiveBench Coding | — | 46.4% |
| ALE-Bench | 1,951 | — |
Agentic & Tool Use Not comparable
GPT-5.6 Terra: 40.2 (#23), Grok-2 (Dec 2024): —
| Benchmark | GPT-5.6 Terra | Grok-2 (Dec 2024) |
|---|---|---|
| APEX-Agents | 58.2% | — |
| BALROG | 53.2% | — |
| GDP.pdf | 24.7% | — |
| Vending-Bench 2 | 7,343 | — |
Reasoning GPT-5.6 Terra leads
GPT-5.6 Terra: 60.6 (#19), Grok-2 (Dec 2024): 16.4 (#294)
| Benchmark | GPT-5.6 Terra | Grok-2 (Dec 2024) |
|---|---|---|
| SimpleBench | 48.9% | 22.7% |
| LMArena Hard Prompts | 1467 | 1272 |
| DTBench | 93.3% | 65.2% |
| Epoch Capabilities Index | 159.31 | 130.48 |
| ARC-AGI-2 | 83.9% | — |
| Kagi LLM Benchmark | 51.3% | — |
| NYT Connections (extended) | 78.4% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30% | — |
| Chess Puzzles | 54% | — |
| LiveBench Reasoning | — | 54.8% |
| Mystery Game Puzzles | 35% | — |
| LiveBench Data Analysis | — | 54.5% |
| LMCA | 55% | — |
| Surface Evolver Bench | 83.8% | — |
| LiveBench | — | 54.3% |
Math GPT-5.6 Terra leads
GPT-5.6 Terra: 81.5 (#10), Grok-2 (Dec 2024): 19.6 (#278)
| Benchmark | GPT-5.6 Terra | Grok-2 (Dec 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 99.7% | 11.5% |
| LMArena Math | 1463 | 1283 |
| FrontierMath (Tiers 1-3) | 86% | — |
| FrontierMath Tier 4 | 70.7% | — |
| ProofBench | 74% | — |
| LiveBench Math | — | 54.9% |
| MATH Level 5 | — | 63.5% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge GPT-5.6 Terra leads
GPT-5.6 Terra: 61.3 (#27), Grok-2 (Dec 2024): 29.8 (#225)
| Benchmark | GPT-5.6 Terra | Grok-2 (Dec 2024) |
|---|---|---|
| GPQA Diamond | 93.3% | 53.8% |
| LMArena Expert | 1492 | 1254 |
| SimpleQA Verified | 43.2% | — |
| Confabulations | — | 20.1% |
Multimodal Not comparable
GPT-5.6 Terra: 47.5 (#10), Grok-2 (Dec 2024): —
| Benchmark | GPT-5.6 Terra | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Vision | 1271 | — |
| Blueprint-Bench 2 | 30.8% | — |
| Furniture Assembly | 54.2% | — |
| LMArena Document | 1472 | — |
Multilingual GPT-5.6 Terra leads
GPT-5.6 Terra: 54.5 (#42), Grok-2 (Dec 2024): 43.3 (#183)
| Benchmark | GPT-5.6 Terra | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | 1439 | 1282 |
| LMArena Chinese | 1514 | 1289 |
| LMArena French | 1476 | 1317 |
| LMArena German | 1462 | 1287 |
| LMArena Japanese | 1446 | 1244 |
| LMArena Korean | 1420 | 1237 |
| LMArena Russian | 1450 | 1286 |
| LMArena Spanish | 1455 | 1281 |
Instruction Following GPT-5.6 Terra leads
GPT-5.6 Terra: 76.6 (#38), Grok-2 (Dec 2024): 67.1 (#197)
| Benchmark | GPT-5.6 Terra | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Instruction Following | 1453 | 1270 |
| LiveBench Instruction Following | — | 69.6% |
Long Context GPT-5.6 Terra leads
GPT-5.6 Terra: 44.4 (#64), Grok-2 (Dec 2024): 38.7 (#186)
| Benchmark | GPT-5.6 Terra | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | 1452 | 1276 |
Writing & Preference GPT-5.6 Terra leads
GPT-5.6 Terra: 70.4 (#21), Grok-2 (Dec 2024): 48.8 (#192)
| Benchmark | GPT-5.6 Terra | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | 1446 | 1305 |
| LMArena Creative Writing | 1411 | 1284 |
| LMArena Multi-Turn | 1451 | 1290 |
| Short-Story Creative Writing | — | 63.6% |
| EQ-Bench Creative Writing | 1855 | — |
| EQ-Bench 4 | 1234 | — |
| LiveBench Language | — | 45.6% |
Frequently asked questions
Is GPT-5.6 Terra better than Grok-2 (Dec 2024)?
GPT-5.6 Terra is the stronger model overall, scoring 59.1 to 33.4 on the Noometry Index.
Is GPT-5.6 Terra or Grok-2 (Dec 2024) better for coding?
GPT-5.6 Terra scores higher on coding benchmarks: 57.1 versus 32.9 in the Noometry coding category.
How many benchmarks do GPT-5.6 Terra and Grok-2 (Dec 2024) share?
23 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and Grok-2 (Dec 2024) has 34.