Model comparison
GPT-5.6 Terra vs Llama 2-70B
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 24.4 on the Noometry Index.
Last verified . 21 shared benchmarks.
MetaSummary
- They share 21 benchmarks with published results for both. GPT-5.6 Terra scores higher in 8 categories and Llama 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 8.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 99.7% for GPT-5.6 Terra and 0% for Llama 2-70B.
- Llama 2-70B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.6 Terra | Llama 2-70B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 59.2 | 24.4 |
| Released | 2026-07-09 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $12 | — |
| Results tracked | 52 | 35 |
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Category by category
Coding GPT-5.6 Terra leads
GPT-5.6 Terra: 57.7 (#19), Llama 2-70B: 31.4 (#286)
| Benchmark | GPT-5.6 Terra | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1484 | 1079 |
| DeepSWE | 69.6% | — |
| FrontierCode | 41.3% | — |
| CursorBench | 41.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 55% | — |
| WeirdML | 78.3% | — |
| ALE-Bench | 1,951 | — |
Agentic & Tool Use Not comparable
GPT-5.6 Terra: 40.1 (#25), Llama 2-70B: —
| Benchmark | GPT-5.6 Terra | Llama 2-70B |
|---|---|---|
| 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: 60.7 (#21), Llama 2-70B: 14.4 (#325)
| Benchmark | GPT-5.6 Terra | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1468 | 1073 |
| DTBench | 93.3% | 41.6% |
| Epoch Capabilities Index | 159.62 | 113.79 |
| ARC-AGI-2 | 83.9% | — |
| SimpleBench | 48.9% | — |
| Kagi LLM Benchmark | 51.3% | — |
| NYT Connections (extended) | 78.4% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30% | — |
| Chess Puzzles | 54% | — |
| Mystery Game Puzzles | 35% | — |
| LMCA | 55% | — |
| Surface Evolver Bench | 83.8% | — |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |
Math GPT-5.6 Terra leads
GPT-5.6 Terra: 81.6 (#12), Llama 2-70B: 8.1 (#326)
| Benchmark | GPT-5.6 Terra | Llama 2-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 99.7% | 0% |
| LMArena Math | 1466 | 1091 |
| FrontierMath (Tiers 1-3) | 86% | — |
| FrontierMath Tier 4 | 70.7% | — |
| ProofBench | 74% | — |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |
Knowledge GPT-5.6 Terra leads
GPT-5.6 Terra: 61.2 (#30), Llama 2-70B: 7.4 (#310)
| Benchmark | GPT-5.6 Terra | Llama 2-70B |
|---|---|---|
| GPQA Diamond | 93.3% | 26.3% |
| LMArena Expert | 1492 | 1039 |
| SimpleQA Verified | 43.2% | — |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |
Multimodal Not comparable
GPT-5.6 Terra: 47.3 (#11), Llama 2-70B: —
| Benchmark | GPT-5.6 Terra | Llama 2-70B |
|---|---|---|
| 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: 54.4 (#44), Llama 2-70B: 27.7 (#274)
| Benchmark | GPT-5.6 Terra | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1439 | 1045 |
| LMArena Chinese | 1513 | 995 |
| LMArena French | 1471 | 1090 |
| LMArena German | 1460 | 1041 |
| LMArena Japanese | 1457 | 927 |
| LMArena Korean | 1425 | 964 |
| LMArena Russian | 1450 | 1083 |
| LMArena Spanish | 1448 | 1143 |
Instruction Following GPT-5.6 Terra leads
GPT-5.6 Terra: 76.4 (#40), Llama 2-70B: 54.9 (#278)
| Benchmark | GPT-5.6 Terra | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1454 | 1071 |
Long Context GPT-5.6 Terra leads
GPT-5.6 Terra: 44.4 (#68), Llama 2-70B: 32.3 (#270)
| Benchmark | GPT-5.6 Terra | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1451 | 1062 |
Writing & Preference GPT-5.6 Terra leads
GPT-5.6 Terra: 70.2 (#23), Llama 2-70B: 32.3 (#279)
| Benchmark | GPT-5.6 Terra | Llama 2-70B |
|---|---|---|
| LMArena Text | 1447 | 1115 |
| LMArena Creative Writing | 1410 | 1075 |
| LMArena Multi-Turn | 1449 | 1088 |
| EQ-Bench Creative Writing | 1855 | — |
| EQ-Bench 4 | 1234 | — |
Frequently asked questions
Is GPT-5.6 Terra better than Llama 2-70B?
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 24.4 on the Noometry Index.
Is GPT-5.6 Terra or Llama 2-70B better for coding?
GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 31.4 in the Noometry coding category.
How many benchmarks do GPT-5.6 Terra and Llama 2-70B share?
21 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and Llama 2-70B has 35.