Model comparison
Chatgpt 4o Latest 20250326 vs Llama 3.1-8B
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 22.8 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 3.1-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Chatgpt 4o Latest 20250326 leads 62.8 to 29.9.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | Llama 3.1-8B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 43.2 | 22.8 |
| Released | — | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.08 |
| Results tracked | 21 | 43 |
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Category by category
Coding Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 41.0 (#122), Llama 3.1-8B: 19.9 (#335)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama 3.1-8B |
|---|---|---|
| LMArena Coding | 1413 | 1195 |
| SciCode | — | 13.2% |
| WeirdML | — | 1.7% |
| BigCodeBench Instruct | — | 32.8% |
| BigCodeBench Complete | — | 40.5% |
| HumanEval+ | — | 62.8% |
| MBPP+ | — | 55.6% |
Agentic & Tool Use Not comparable
Chatgpt 4o Latest 20250326: —, Llama 3.1-8B: 22.3 (#123)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| BALROG | — | 15.1% |
Reasoning Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 32.8 (#64), Llama 3.1-8B: 14.5 (#316)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama 3.1-8B |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1175 |
| Kagi LLM Benchmark | 75% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| DTBench | — | 50.9% |
| LMCA | — | 5.4% |
| Epoch Capabilities Index | — | 116.48 |
| PIQA | — | 81.2% |
Math Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 35.8 (#134), Llama 3.1-8B: 9.5 (#311)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama 3.1-8B |
|---|---|---|
| LMArena Math | 1407 | 1179 |
| OTIS Mock AIME 2024-2025 | — | 1.7% |
| Omni-MATH | — | 13.7% |
| MATH Level 5 | — | 22.9% |
| GSM8K | — | 82.4% |
Knowledge Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 38.7 (#131), Llama 3.1-8B: 8.0 (#302)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama 3.1-8B |
|---|---|---|
| LMArena Expert | 1400 | 1144 |
| GPQA Diamond | — | 27% |
| MMLU-Pro | — | 40.6% |
| Confabulations | 16.6% | — |
| GPQA (HELM) | — | 24.7% |
| BoolQ | — | 82.8% |
| MMLU | — | 56.1% |
Multimodal Not comparable
Chatgpt 4o Latest 20250326: 38.9 (#54), Llama 3.1-8B: —
| Benchmark | Chatgpt 4o Latest 20250326 | Llama 3.1-8B |
|---|---|---|
| LMArena Vision | 1243 | — |
Multilingual Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 53.1 (#72), Llama 3.1-8B: 34.2 (#244)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 1419 | 1148 |
| LMArena Chinese | 1456 | 1151 |
| LMArena French | 1447 | 1176 |
| LMArena German | 1424 | 1144 |
| LMArena Japanese | 1406 | 1061 |
| LMArena Korean | 1397 | 1053 |
| LMArena Russian | 1429 | 1158 |
| LMArena Spanish | 1435 | 1169 |
Instruction Following Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 74.2 (#102), Llama 3.1-8B: 59.1 (#253)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama 3.1-8B |
|---|---|---|
| LMArena Instruction Following | 1403 | 1159 |
| IFEval | — | 74.3% |
Long Context Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 43.1 (#104), Llama 3.1-8B: 35.8 (#233)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | 1413 | 1182 |
Writing & Preference Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 62.8 (#68), Llama 3.1-8B: 29.9 (#285)
| Benchmark | Chatgpt 4o Latest 20250326 | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 1429 | 1187 |
| LMArena Creative Writing | 1406 | 1154 |
| EQ-Bench Creative Writing | 1501 | 713 |
| LMArena Multi-Turn | 1454 | 1172 |
| WildBench | — | 68.7% |
Frequently asked questions
Is Chatgpt 4o Latest 20250326 better than Llama 3.1-8B?
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.2 to 22.8 on the Noometry Index.
Is Chatgpt 4o Latest 20250326 or Llama 3.1-8B better for coding?
Chatgpt 4o Latest 20250326 scores higher on coding benchmarks: 41.0 versus 19.9 in the Noometry coding category.
How many benchmarks do Chatgpt 4o Latest 20250326 and Llama 3.1-8B share?
18 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Llama 3.1-8B has 43.