Model comparison
Chatgpt 4o Latest 20250326 vs Llama-3.3-70B-Instruct
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 30.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
MetaSummary
- They share 18 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 8 categories and Llama-3.3-70B-Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Chatgpt 4o Latest 20250326 leads 35.8 to 14.3.
- The biggest single-benchmark swing is Confabulations: 16.6% for Chatgpt 4o Latest 20250326 and 22.8% for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 43.2 | 30.3 |
| Released | — | 2024-12-06 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.32 |
| Results tracked | 21 | 43 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 41.0 (#122), Llama-3.3-70B-Instruct: 30.6 (#284)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Coding | 1413 | 1268 |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
Agentic & Tool Use Not comparable
Chatgpt 4o Latest 20250326: —, Llama-3.3-70B-Instruct: 25.6 (#100)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |
Reasoning Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 32.8 (#64), Llama-3.3-70B-Instruct: 13.7 (#325)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1257 |
| SimpleBench | — | 19.9% |
| Kagi LLM Benchmark | 75% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| DTBench | — | 59.5% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| Epoch Capabilities Index | — | 127.32 |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |
Math Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 35.8 (#134), Llama-3.3-70B-Instruct: 14.3 (#292)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Math | 1407 | 1268 |
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |
Knowledge Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 38.7 (#131), Llama-3.3-70B-Instruct: 30.5 (#220)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama-3.3-70B-Instruct |
|---|---|---|
| Confabulations | 16.6% | 22.8% |
| LMArena Expert | 1400 | 1225 |
| GPQA Diamond | — | 47.4% |
| Vectara Hallucination Rate | — | 4.1% |
| MMLU | — | 86.3% |
Multimodal Not comparable
Chatgpt 4o Latest 20250326: 38.9 (#54), Llama-3.3-70B-Instruct: —
| Benchmark | Chatgpt 4o Latest 20250326 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Vision | 1243 | — |
Multilingual Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 53.1 (#72), Llama-3.3-70B-Instruct: 40.1 (#215)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1419 | 1236 |
| LMArena Chinese | 1456 | 1217 |
| LMArena French | 1447 | 1280 |
| LMArena German | 1424 | 1251 |
| LMArena Japanese | 1406 | 1149 |
| LMArena Korean | 1397 | 1142 |
| LMArena Russian | 1429 | 1252 |
| LMArena Spanish | 1435 | 1269 |
Instruction Following Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 74.2 (#102), Llama-3.3-70B-Instruct: 71.3 (#152)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1403 | 1242 |
| LiveBench Instruction Following | — | 82.7% |
Long Context Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 43.1 (#104), Llama-3.3-70B-Instruct: 26.4 (#290)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1413 | 1256 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 62.8 (#68), Llama-3.3-70B-Instruct: 47.8 (#203)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1429 | 1274 |
| LMArena Creative Writing | 1406 | 1250 |
| LMArena Multi-Turn | 1454 | 1279 |
| EQ-Bench Creative Writing | 1501 | — |
| LiveBench Language | — | 39.2% |
Frequently asked questions
Is Chatgpt 4o Latest 20250326 better than Llama-3.3-70B-Instruct?
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 30.3 on the Noometry Index.
Is Chatgpt 4o Latest 20250326 or Llama-3.3-70B-Instruct better for coding?
Chatgpt 4o Latest 20250326 scores higher on coding benchmarks: 41.0 versus 30.6 in the Noometry coding category.
How many benchmarks do Chatgpt 4o Latest 20250326 and Llama-3.3-70B-Instruct share?
18 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Llama-3.3-70B-Instruct has 43.