Model comparison
GPT-5.5 Instant vs Llama 2-7B
GPT-5.5 Instant is the stronger model overall, scoring 42.5 to 28.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GPT-5.5 Instant scores higher in 7 categories and Llama 2-7B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.5 Instant leads 62.0 to 28.1.
- The biggest single-benchmark swing is Chess Puzzles: 12% for GPT-5.5 Instant and 0% for Llama 2-7B.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Instant | Llama 2-7B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.5 | 28.6 |
| Released | 2026-05-05 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 27 | 29 |
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Category by category
Coding GPT-5.5 Instant leads
GPT-5.5 Instant: 43.7 (#73), Llama 2-7B: 28.7 (#302)
| Benchmark | GPT-5.5 Instant | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1433 | 1002 |
| SciCode | 48.6% | — |
Reasoning GPT-5.5 Instant leads
GPT-5.5 Instant: 24.2 (#149), Llama 2-7B: 15.1 (#309)
| Benchmark | GPT-5.5 Instant | Llama 2-7B |
|---|---|---|
| Chess Puzzles | 12% | 0% |
| LMArena Hard Prompts | 1426 | 1009 |
| Epoch Capabilities Index | 142.48 | 98.54 |
| CritPt | 0% | — |
| BIG-Bench Hard | — | 39.2% |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Llama 2-7B leads
GPT-5.5 Instant: 26.1 (#241), Llama 2-7B: 28.2 (#231)
| Benchmark | GPT-5.5 Instant | Llama 2-7B |
|---|---|---|
| LMArena Math | 1420 | 1042 |
| FrontierMath (Tiers 1-3) | 26.3% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 68.1% | — |
| GSM8K | — | 16.7% |
Knowledge GPT-5.5 Instant leads
GPT-5.5 Instant: 48.9 (#68), Llama 2-7B: 27.7 (#243)
| Benchmark | GPT-5.5 Instant | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1409 | 1036 |
| GPQA Diamond | 82.5% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
GPT-5.5 Instant: 39.3 (#48), Llama 2-7B: —
| Benchmark | GPT-5.5 Instant | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1250 | — |
| LMArena Document | 1403 | — |
| ScienceQA | — | 43.1% |
Multilingual GPT-5.5 Instant leads
GPT-5.5 Instant: 53.0 (#76), Llama 2-7B: 23.9 (#288)
| Benchmark | GPT-5.5 Instant | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1417 | 973 |
| LMArena Chinese | 1457 | 973 |
| LMArena French | 1428 | 969 |
| LMArena German | 1410 | 978 |
| LMArena Russian | 1430 | 995 |
| LMArena Spanish | 1430 | 1007 |
| LMArena Japanese | 1408 | — |
| LMArena Korean | 1393 | — |
Instruction Following GPT-5.5 Instant leads
GPT-5.5 Instant: 74.4 (#94), Llama 2-7B: 51.0 (#293)
| Benchmark | GPT-5.5 Instant | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1407 | 1006 |
Long Context GPT-5.5 Instant leads
GPT-5.5 Instant: 43.4 (#92), Llama 2-7B: 30.4 (#282)
| Benchmark | GPT-5.5 Instant | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1422 | 999 |
Writing & Preference GPT-5.5 Instant leads
GPT-5.5 Instant: 62.0 (#81), Llama 2-7B: 28.1 (#293)
| Benchmark | GPT-5.5 Instant | Llama 2-7B |
|---|---|---|
| LMArena Text | 1419 | 1053 |
| LMArena Creative Writing | 1420 | 1033 |
| LMArena Multi-Turn | 1434 | 1029 |
Frequently asked questions
Is GPT-5.5 Instant better than Llama 2-7B?
GPT-5.5 Instant is the stronger model overall, scoring 42.5 to 28.6 on the Noometry Index.
Is GPT-5.5 Instant or Llama 2-7B better for coding?
GPT-5.5 Instant scores higher on coding benchmarks: 43.7 versus 28.7 in the Noometry coding category.
How many benchmarks do GPT-5.5 Instant and Llama 2-7B share?
17 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Llama 2-7B has 29.