Model comparison
GPT-5.5 Instant vs Llama 3.1-8B
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 23.0 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GPT-5.5 Instant scores higher in 8 categories and Llama 3.1-8B 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 8.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.1% for GPT-5.5 Instant and 1.7% for Llama 3.1-8B.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Instant | Llama 3.1-8B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.7 | 23.0 |
| Released | 2026-05-05 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.08 |
| Results tracked | 27 | 43 |
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Category by category
Coding GPT-5.5 Instant leads
GPT-5.5 Instant: 44.3 (#74), Llama 3.1-8B: 20.2 (#340)
| Benchmark | GPT-5.5 Instant | Llama 3.1-8B |
|---|---|---|
| SciCode | 48.6% | 13.2% |
| LMArena Coding | 1433 | 1195 |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| BigCodeBench Complete | — | 40.5% |
| HumanEval+ | — | 62.8% |
| MBPP+ | — | 55.6% |
Agentic & Tool Use Not comparable
GPT-5.5 Instant: —, Llama 3.1-8B: 22.5 (#131)
| Benchmark | GPT-5.5 Instant | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| BALROG | — | 15.1% |
Reasoning GPT-5.5 Instant leads
GPT-5.5 Instant: 24.9 (#155), Llama 3.1-8B: 14.9 (#321)
| Benchmark | GPT-5.5 Instant | Llama 3.1-8B |
|---|---|---|
| CritPt | 0% | 0% |
| Chess Puzzles | 12% | 0% |
| LMArena Hard Prompts | 1426 | 1175 |
| Epoch Capabilities Index | 142.52 | 116.57 |
| DTBench | — | 50.9% |
| LMCA | — | 5.4% |
| PIQA | — | 81.2% |
Math GPT-5.5 Instant leads
GPT-5.5 Instant: 26.5 (#259), Llama 3.1-8B: 10.2 (#317)
| Benchmark | GPT-5.5 Instant | Llama 3.1-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.1% | 1.7% |
| LMArena Math | 1420 | 1179 |
| FrontierMath (Tiers 1-3) | 26.3% | — |
| FrontierMath Tier 4 | 2.4% | — |
| Omni-MATH | — | 13.7% |
| MATH Level 5 | — | 22.9% |
| GSM8K | — | 82.4% |
Knowledge GPT-5.5 Instant leads
GPT-5.5 Instant: 48.9 (#74), Llama 3.1-8B: 8.0 (#307)
| Benchmark | GPT-5.5 Instant | Llama 3.1-8B |
|---|---|---|
| GPQA Diamond | 82.5% | 27% |
| LMArena Expert | 1409 | 1144 |
| MMLU-Pro | — | 40.6% |
| GPQA (HELM) | — | 24.7% |
| BoolQ | — | 82.8% |
| MMLU | — | 56.1% |
Multimodal Not comparable
GPT-5.5 Instant: 40.0 (#52), Llama 3.1-8B: —
| Benchmark | GPT-5.5 Instant | Llama 3.1-8B |
|---|---|---|
| LMArena Vision | 1250 | — |
| LMArena Document | 1403 | — |
Multilingual GPT-5.5 Instant leads
GPT-5.5 Instant: 52.8 (#80), Llama 3.1-8B: 34.0 (#249)
| Benchmark | GPT-5.5 Instant | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 1417 | 1148 |
| LMArena Chinese | 1456 | 1151 |
| LMArena French | 1428 | 1177 |
| LMArena German | 1411 | 1144 |
| LMArena Japanese | 1408 | 1061 |
| LMArena Korean | 1392 | 1053 |
| LMArena Russian | 1431 | 1158 |
| LMArena Spanish | 1429 | 1169 |
Instruction Following GPT-5.5 Instant leads
GPT-5.5 Instant: 74.2 (#100), Llama 3.1-8B: 58.9 (#258)
| Benchmark | GPT-5.5 Instant | Llama 3.1-8B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1159 |
| IFEval | — | 74.3% |
Long Context GPT-5.5 Instant leads
GPT-5.5 Instant: 43.4 (#96), Llama 3.1-8B: 35.8 (#238)
| Benchmark | GPT-5.5 Instant | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | 1422 | 1182 |
Writing & Preference GPT-5.5 Instant leads
GPT-5.5 Instant: 61.8 (#85), Llama 3.1-8B: 29.7 (#290)
| Benchmark | GPT-5.5 Instant | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 1419 | 1187 |
| LMArena Creative Writing | 1419 | 1154 |
| LMArena Multi-Turn | 1433 | 1172 |
| EQ-Bench Creative Writing | — | 713 |
| WildBench | — | 68.7% |
Frequently asked questions
Is GPT-5.5 Instant better than Llama 3.1-8B?
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 23.0 on the Noometry Index.
Is GPT-5.5 Instant or Llama 3.1-8B better for coding?
GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 20.2 in the Noometry coding category.
How many benchmarks do GPT-5.5 Instant and Llama 3.1-8B share?
23 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Llama 3.1-8B has 43.