Model comparison
GPT-5.6 Terra vs Grok 3
GPT-5.6 Terra is the stronger model overall, scoring 59.1 to 39.6 on the Noometry Index.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. GPT-5.6 Terra scores higher in 9 categories and Grok 3 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.6 Terra leads 60.6 to 13.8.
- The biggest single-benchmark swing is ARC-AGI-1: 96.5% for GPT-5.6 Terra and 5.5% for Grok 3.
Side by side
| GPT-5.6 Terra | Grok 3 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 59.1 | 39.6 |
| Released | 2026-07-09 | 2025-04-09 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $12 | — |
| Results tracked | 52 | 40 |
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Category by category
Coding GPT-5.6 Terra leads
GPT-5.6 Terra: 57.1 (#16), Grok 3: 41.5 (#113)
| Benchmark | GPT-5.6 Terra | Grok 3 |
|---|---|---|
| WeirdML | 78.3% | 37.2% |
| LMArena Coding | 1484 | 1432 |
| DeepSWE | 69.6% | — |
| FrontierCode | 41.3% | — |
| Aider Polyglot | — | 53.3% |
| CursorBench | 41.3% | — |
| LMArena WebDev | 1520 | — |
| SciCode | 55% | — |
| ALE-Bench | 1,951 | — |
Agentic & Tool Use GPT-5.6 Terra leads
GPT-5.6 Terra: 40.2 (#23), Grok 3: 30.2 (#69)
| Benchmark | GPT-5.6 Terra | Grok 3 |
|---|---|---|
| BALROG | 53.2% | 29.5% |
| APEX-Agents | 58.2% | — |
| GDP.pdf | 24.7% | — |
| Vending-Bench 2 | 7,343 | — |
Reasoning GPT-5.6 Terra leads
GPT-5.6 Terra: 60.6 (#19), Grok 3: 13.8 (#322)
| Benchmark | GPT-5.6 Terra | Grok 3 |
|---|---|---|
| ARC-AGI-2 | 83.9% | 0% |
| SimpleBench | 48.9% | 36.1% |
| Kagi LLM Benchmark | 51.3% | 61.3% |
| ARC-AGI-1 | 96.5% | 5.5% |
| LMArena Hard Prompts | 1467 | 1433 |
| Epoch Capabilities Index | 159.31 | 138.34 |
| NYT Connections (extended) | 78.4% | — |
| CritPt | 30% | — |
| Chess Puzzles | 54% | — |
| Mystery Game Puzzles | 35% | — |
| DTBench | 93.3% | — |
| LMCA | 55% | — |
| Surface Evolver Bench | 83.8% | — |
Math GPT-5.6 Terra leads
GPT-5.6 Terra: 81.5 (#10), Grok 3: 36.2 (#122)
| Benchmark | GPT-5.6 Terra | Grok 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 99.7% | 55.6% |
| LMArena Math | 1463 | 1390 |
| FrontierMath (Tiers 1-3) | 86% | — |
| FrontierMath Tier 4 | 70.7% | — |
| ProofBench | 74% | — |
| Omni-MATH | — | 46.4% |
| MATH Level 5 | — | 88.7% |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge GPT-5.6 Terra leads
GPT-5.6 Terra: 61.3 (#27), Grok 3: 46.0 (#76)
| Benchmark | GPT-5.6 Terra | Grok 3 |
|---|---|---|
| GPQA Diamond | 93.3% | 75.8% |
| LMArena Expert | 1492 | 1420 |
| SimpleQA Verified | 43.2% | — |
| MMLU-Pro | — | 78.8% |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 5.8% |
| GPQA (HELM) | — | 65% |
Multimodal Not comparable
GPT-5.6 Terra: 47.5 (#10), Grok 3: —
| Benchmark | GPT-5.6 Terra | Grok 3 |
|---|---|---|
| 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 3: 52.5 (#81)
| Benchmark | GPT-5.6 Terra | Grok 3 |
|---|---|---|
| LMArena Non-English | 1439 | 1411 |
| LMArena Chinese | 1514 | 1448 |
| LMArena French | 1476 | 1460 |
| LMArena German | 1462 | 1431 |
| LMArena Japanese | 1446 | 1389 |
| LMArena Korean | 1420 | 1374 |
| LMArena Russian | 1450 | 1416 |
| LMArena Spanish | 1455 | 1417 |
Instruction Following GPT-5.6 Terra leads
GPT-5.6 Terra: 76.6 (#38), Grok 3: 75.2 (#69)
| Benchmark | GPT-5.6 Terra | Grok 3 |
|---|---|---|
| LMArena Instruction Following | 1453 | 1409 |
| IFEval | — | 88.4% |
Long Context GPT-5.6 Terra leads
GPT-5.6 Terra: 44.4 (#64), Grok 3: 38.7 (#187)
| Benchmark | GPT-5.6 Terra | Grok 3 |
|---|---|---|
| LMArena Longer Query | 1452 | 1439 |
| Fiction.LiveBench | — | 58.3% |
Writing & Preference GPT-5.6 Terra leads
GPT-5.6 Terra: 70.4 (#21), Grok 3: 56.0 (#136)
| Benchmark | GPT-5.6 Terra | Grok 3 |
|---|---|---|
| LMArena Text | 1446 | 1426 |
| LMArena Creative Writing | 1411 | 1414 |
| EQ-Bench Creative Writing | 1855 | 1186 |
| LMArena Multi-Turn | 1451 | 1424 |
| Short-Story Creative Writing | — | 76.4% |
| WildBench | — | 84.9% |
| EQ-Bench 4 | 1234 | — |
Frequently asked questions
Is GPT-5.6 Terra better than Grok 3?
GPT-5.6 Terra is the stronger model overall, scoring 59.1 to 39.6 on the Noometry Index.
Is GPT-5.6 Terra or Grok 3 better for coding?
GPT-5.6 Terra scores higher on coding benchmarks: 57.1 versus 41.5 in the Noometry coding category.
How many benchmarks do GPT-5.6 Terra and Grok 3 share?
27 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and Grok 3 has 40.