Model comparison
GPT-5.5 Instant vs Llama 3.1-70B
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 29.6 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 3.1-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.5 Instant leads 61.8 to 35.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.1% for GPT-5.5 Instant and 3.6% for Llama 3.1-70B.
- Llama 3.1-70B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Instant | Llama 3.1-70B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 42.7 | 29.6 |
| Released | 2026-05-05 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $0.40 |
| 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 3.1-70B: 30.3 (#296)
| Benchmark | GPT-5.5 Instant | Llama 3.1-70B |
|---|---|---|
| LMArena Coding | 1433 | 1260 |
| SciCode | 48.6% | — |
| WeirdML | — | 9% |
| BigCodeBench Instruct | — | 46.1% |
| BigCodeBench Complete | — | 54.8% |
Agentic & Tool Use Not comparable
GPT-5.5 Instant: —, Llama 3.1-70B: 25.1 (#112)
| Benchmark | GPT-5.5 Instant | Llama 3.1-70B |
|---|---|---|
| TheAgentCompany | — | 6.9% |
| BALROG | — | 27.9% |
Reasoning GPT-5.5 Instant leads
GPT-5.5 Instant: 24.9 (#155), Llama 3.1-70B: 21.6 (#220)
| Benchmark | GPT-5.5 Instant | Llama 3.1-70B |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1241 |
| Epoch Capabilities Index | 142.52 | 125.92 |
| CritPt | 0% | — |
| Chess Puzzles | 12% | — |
| DTBench | — | 60% |
| LMCA | — | 14.8% |
Math GPT-5.5 Instant leads
GPT-5.5 Instant: 26.5 (#259), Llama 3.1-70B: 13.5 (#304)
| Benchmark | GPT-5.5 Instant | Llama 3.1-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.1% | 3.6% |
| LMArena Math | 1420 | 1252 |
| FrontierMath (Tiers 1-3) | 26.3% | — |
| FrontierMath Tier 4 | 2.4% | — |
| Omni-MATH | — | 21% |
| MATH Level 5 | — | 36.7% |
Knowledge GPT-5.5 Instant leads
GPT-5.5 Instant: 48.9 (#74), Llama 3.1-70B: 24.2 (#269)
| Benchmark | GPT-5.5 Instant | Llama 3.1-70B |
|---|---|---|
| GPQA Diamond | 82.5% | 44.2% |
| LMArena Expert | 1409 | 1209 |
| MMLU-Pro | — | 65.3% |
| GPQA (HELM) | — | 42.6% |
| MMLU | — | 80.1% |
Multimodal Not comparable
GPT-5.5 Instant: 40.0 (#52), Llama 3.1-70B: —
| Benchmark | GPT-5.5 Instant | Llama 3.1-70B |
|---|---|---|
| LMArena Vision | 1250 | — |
| LMArena Document | 1403 | — |
Multilingual GPT-5.5 Instant leads
GPT-5.5 Instant: 52.8 (#80), Llama 3.1-70B: 38.8 (#225)
| Benchmark | GPT-5.5 Instant | Llama 3.1-70B |
|---|---|---|
| LMArena Non-English | 1417 | 1219 |
| LMArena Chinese | 1456 | 1215 |
| LMArena French | 1428 | 1261 |
| LMArena German | 1411 | 1222 |
| LMArena Japanese | 1408 | 1132 |
| LMArena Korean | 1392 | 1140 |
| LMArena Russian | 1431 | 1234 |
| LMArena Spanish | 1429 | 1253 |
Instruction Following GPT-5.5 Instant leads
GPT-5.5 Instant: 74.2 (#100), Llama 3.1-70B: 65.3 (#223)
| Benchmark | GPT-5.5 Instant | Llama 3.1-70B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1231 |
| IFEval | — | 82.1% |
Long Context GPT-5.5 Instant leads
GPT-5.5 Instant: 43.4 (#96), Llama 3.1-70B: 37.6 (#214)
| Benchmark | GPT-5.5 Instant | Llama 3.1-70B |
|---|---|---|
| LMArena Longer Query | 1422 | 1241 |
Writing & Preference GPT-5.5 Instant leads
GPT-5.5 Instant: 61.8 (#85), Llama 3.1-70B: 35.4 (#267)
| Benchmark | GPT-5.5 Instant | Llama 3.1-70B |
|---|---|---|
| LMArena Text | 1419 | 1261 |
| LMArena Creative Writing | 1419 | 1232 |
| LMArena Multi-Turn | 1433 | 1256 |
| EQ-Bench Creative Writing | — | 784 |
| WildBench | — | 75.8% |
Frequently asked questions
Is GPT-5.5 Instant better than Llama 3.1-70B?
GPT-5.5 Instant is the stronger model overall, scoring 42.7 to 29.6 on the Noometry Index.
Is GPT-5.5 Instant or Llama 3.1-70B better for coding?
GPT-5.5 Instant scores higher on coding benchmarks: 44.3 versus 30.3 in the Noometry coding category.
How many benchmarks do GPT-5.5 Instant and Llama 3.1-70B share?
20 benchmarks have published results for both models. GPT-5.5 Instant has 27 scored results on Noometry and Llama 3.1-70B has 35.