Model comparison
GPT-5.5 Instant vs Llama 2-70B
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 24.4 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. GPT-5.5 Instant scores higher in 8 categories and Llama 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.5 Instant leads 48.9 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.1% for GPT-5.5 Instant and 0% for Llama 2-70B.
- Llama 2-70B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Instant | Llama 2-70B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.7 | 24.4 |
| Released | 2026-05-05 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 27 | 35 |
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Category by category
Coding GPT-5.5 Instant leads
GPT-5.5 Instant: 44.3 (#74), Llama 2-70B: 31.4 (#286)
| Benchmark | GPT-5.5 Instant | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1433 | 1079 |
| SciCode | 48.6% | — |
Reasoning GPT-5.5 Instant leads
GPT-5.5 Instant: 24.9 (#155), Llama 2-70B: 14.4 (#325)
| Benchmark | GPT-5.5 Instant | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1073 |
| Epoch Capabilities Index | 142.52 | 113.79 |
| CritPt | 0% | — |
| Chess Puzzles | 12% | — |
| DTBench | — | 41.6% |
| 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-5.5 Instant leads
GPT-5.5 Instant: 26.5 (#259), Llama 2-70B: 8.1 (#326)
| Benchmark | GPT-5.5 Instant | Llama 2-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.1% | 0% |
| LMArena Math | 1420 | 1091 |
| FrontierMath (Tiers 1-3) | 26.3% | — |
| FrontierMath Tier 4 | 2.4% | — |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |
Knowledge GPT-5.5 Instant leads
GPT-5.5 Instant: 48.9 (#74), Llama 2-70B: 7.4 (#310)
| Benchmark | GPT-5.5 Instant | Llama 2-70B |
|---|---|---|
| GPQA Diamond | 82.5% | 26.3% |
| LMArena Expert | 1409 | 1039 |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |
Multimodal Not comparable
GPT-5.5 Instant: 40.0 (#52), Llama 2-70B: —
| Benchmark | GPT-5.5 Instant | Llama 2-70B |
|---|---|---|
| LMArena Vision | 1250 | — |
| LMArena Document | 1403 | — |
Multilingual GPT-5.5 Instant leads
GPT-5.5 Instant: 52.8 (#80), Llama 2-70B: 27.7 (#274)
| Benchmark | GPT-5.5 Instant | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1417 | 1045 |
| LMArena Chinese | 1456 | 995 |
| LMArena French | 1428 | 1090 |
| LMArena German | 1411 | 1041 |
| LMArena Japanese | 1408 | 927 |
| LMArena Korean | 1392 | 964 |
| LMArena Russian | 1431 | 1083 |
| LMArena Spanish | 1429 | 1143 |
Instruction Following GPT-5.5 Instant leads
GPT-5.5 Instant: 74.2 (#100), Llama 2-70B: 54.9 (#278)
| Benchmark | GPT-5.5 Instant | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1071 |
Long Context GPT-5.5 Instant leads
GPT-5.5 Instant: 43.4 (#96), Llama 2-70B: 32.3 (#270)
| Benchmark | GPT-5.5 Instant | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1422 | 1062 |
Writing & Preference GPT-5.5 Instant leads
GPT-5.5 Instant: 61.8 (#85), Llama 2-70B: 32.3 (#279)
| Benchmark | GPT-5.5 Instant | Llama 2-70B |
|---|---|---|
| LMArena Text | 1419 | 1115 |
| LMArena Creative Writing | 1419 | 1075 |
| LMArena Multi-Turn | 1433 | 1088 |
Frequently asked questions
Is GPT-5.5 Instant better than Llama 2-70B?
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 24.4 on the Noometry Index.
Is GPT-5.5 Instant or Llama 2-70B better for coding?
GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 31.4 in the Noometry coding category.
How many benchmarks do GPT-5.5 Instant and Llama 2-70B share?
20 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Llama 2-70B has 35.