Model comparison
GPT-5.5 Instant vs Llama 4 Scout
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 27.7 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 9 categories and Llama 4 Scout in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.5 Instant leads 61.8 to 37.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.1% for GPT-5.5 Instant and 7.8% for Llama 4 Scout.
- Llama 4 Scout has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Instant | Llama 4 Scout | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.7 | 27.7 |
| Released | 2026-05-05 | 2025-04-05 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| 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 4 Scout: 20.2 (#339)
| Benchmark | GPT-5.5 Instant | Llama 4 Scout |
|---|---|---|
| SciCode | 48.6% | 17% |
| LMArena Coding | 1433 | 1286 |
| SWE-bench Verified (bash only) | — | 9.1% |
| BigCodeBench Complete | — | 43.1% |
Agentic & Tool Use Not comparable
GPT-5.5 Instant: —, Llama 4 Scout: 24.6 (#119)
| Benchmark | GPT-5.5 Instant | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.1% |
Reasoning GPT-5.5 Instant leads
GPT-5.5 Instant: 24.9 (#155), Llama 4 Scout: 9.1 (#345)
| Benchmark | GPT-5.5 Instant | Llama 4 Scout |
|---|---|---|
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1426 | 1266 |
| Epoch Capabilities Index | 142.52 | 129.64 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 36.9% |
| ARC-AGI-1 | — | 0.5% |
| Chess Puzzles | 12% | — |
| DTBench | — | 57.9% |
| LMCA | — | 12% |
| ForecastBench | — | 57.5 |
Math GPT-5.5 Instant leads
GPT-5.5 Instant: 26.5 (#259), Llama 4 Scout: 19.6 (#286)
| Benchmark | GPT-5.5 Instant | Llama 4 Scout |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.1% | 7.8% |
| LMArena Math | 1420 | 1287 |
| FrontierMath (Tiers 1-3) | 26.3% | — |
| FrontierMath Tier 4 | 2.4% | — |
| Omni-MATH | — | 37.3% |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |
Knowledge GPT-5.5 Instant leads
GPT-5.5 Instant: 48.9 (#74), Llama 4 Scout: 31.9 (#217)
| Benchmark | GPT-5.5 Instant | Llama 4 Scout |
|---|---|---|
| GPQA Diamond | 82.5% | 51.8% |
| LMArena Expert | 1409 | 1235 |
| MMLU-Pro | — | 74.2% |
| Vectara Hallucination Rate | — | 7.7% |
| GPQA (HELM) | — | 50.7% |
Multimodal GPT-5.5 Instant leads
GPT-5.5 Instant: 40.0 (#52), Llama 4 Scout: 32.2 (#102)
| Benchmark | GPT-5.5 Instant | Llama 4 Scout |
|---|---|---|
| LMArena Vision | 1250 | 1118 |
| LMArena Document | 1403 | — |
| SpatialViz-Bench | — | 34.2% |
Multilingual GPT-5.5 Instant leads
GPT-5.5 Instant: 52.8 (#80), Llama 4 Scout: 41.0 (#212)
| Benchmark | GPT-5.5 Instant | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 1417 | 1252 |
| LMArena Chinese | 1456 | 1255 |
| LMArena French | 1428 | 1282 |
| LMArena German | 1411 | 1272 |
| LMArena Japanese | 1408 | 1206 |
| LMArena Korean | 1392 | 1207 |
| LMArena Russian | 1431 | 1263 |
| LMArena Spanish | 1429 | 1278 |
Instruction Following GPT-5.5 Instant leads
GPT-5.5 Instant: 74.2 (#100), Llama 4 Scout: 65.8 (#217)
| Benchmark | GPT-5.5 Instant | Llama 4 Scout |
|---|---|---|
| LMArena Instruction Following | 1406 | 1248 |
| IFEval | — | 81.8% |
Long Context GPT-5.5 Instant leads
GPT-5.5 Instant: 43.4 (#96), Llama 4 Scout: 27.5 (#294)
| Benchmark | GPT-5.5 Instant | Llama 4 Scout |
|---|---|---|
| LMArena Longer Query | 1422 | 1265 |
| Fiction.LiveBench | — | 36% |
Writing & Preference GPT-5.5 Instant leads
GPT-5.5 Instant: 61.8 (#85), Llama 4 Scout: 37.0 (#261)
| Benchmark | GPT-5.5 Instant | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1419 | 1279 |
| LMArena Creative Writing | 1419 | 1249 |
| LMArena Multi-Turn | 1433 | 1280 |
| EQ-Bench Creative Writing | — | 783 |
| WildBench | — | 78% |
Frequently asked questions
Is GPT-5.5 Instant better than Llama 4 Scout?
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 27.7 on the Noometry Index.
Is GPT-5.5 Instant or Llama 4 Scout 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 4 Scout share?
23 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Llama 4 Scout has 43.