Model comparison
Chatgpt 4o Latest 20250326 vs Codellama 70b Instruct
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.8 to 33.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
MetaSummary
- They share 4 benchmarks with published results for both. Chatgpt 4o Latest 20250326 scores higher in 5 categories and Codellama 70b Instruct in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Chatgpt 4o Latest 20250326 leads 62.6 to 33.4.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Chatgpt 4o Latest 20250326 | Codellama 70b Instruct | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 43.8 | 33.7 |
| Released | — | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 7 |
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Category by category
Coding Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 41.6 (#122), Codellama 70b Instruct: 37.6 (#193)
| Benchmark | Chatgpt 4o Latest 20250326 | Codellama 70b Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 40.7% |
| LMArena Coding | 1413 | — |
| BigCodeBench Complete | — | 49.6% |
| HumanEval+ | — | 65.9% |
Reasoning Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 33.8 (#71), Codellama 70b Instruct: 20.1 (#242)
| Benchmark | Chatgpt 4o Latest 20250326 | Codellama 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1424 | 1052 |
| Kagi LLM Benchmark | 75% | — |
Math Not comparable
Chatgpt 4o Latest 20250326: 38.6 (#134), Codellama 70b Instruct: —
| Benchmark | Chatgpt 4o Latest 20250326 | Codellama 70b Instruct |
|---|---|---|
| LMArena Math | 1407 | — |
Knowledge Not comparable
Chatgpt 4o Latest 20250326: 39.2 (#137), Codellama 70b Instruct: —
| Benchmark | Chatgpt 4o Latest 20250326 | Codellama 70b Instruct |
|---|---|---|
| Confabulations | 16.6% | — |
| LMArena Expert | 1401 | — |
Multimodal Not comparable
Chatgpt 4o Latest 20250326: 39.6 (#58), Codellama 70b Instruct: —
| Benchmark | Chatgpt 4o Latest 20250326 | Codellama 70b Instruct |
|---|---|---|
| LMArena Vision | 1243 | — |
Multilingual Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 52.9 (#76), Codellama 70b Instruct: 24.8 (#288)
| Benchmark | Chatgpt 4o Latest 20250326 | Codellama 70b Instruct |
|---|---|---|
| LMArena Non-English | 1419 | 992 |
| LMArena Chinese | 1457 | — |
| LMArena French | 1446 | — |
| LMArena German | 1423 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1396 | — |
| LMArena Russian | 1429 | — |
| LMArena Spanish | 1434 | — |
Instruction Following Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 74.0 (#107), Codellama 70b Instruct: 51.9 (#293)
| Benchmark | Chatgpt 4o Latest 20250326 | Codellama 70b Instruct |
|---|---|---|
| LMArena Instruction Following | 1403 | 1024 |
Long Context Not comparable
Chatgpt 4o Latest 20250326: 43.1 (#107), Codellama 70b Instruct: —
| Benchmark | Chatgpt 4o Latest 20250326 | Codellama 70b Instruct |
|---|---|---|
| LMArena Longer Query | 1413 | — |
Writing & Preference Chatgpt 4o Latest 20250326 leads
Chatgpt 4o Latest 20250326: 62.6 (#72), Codellama 70b Instruct: 33.4 (#277)
| Benchmark | Chatgpt 4o Latest 20250326 | Codellama 70b Instruct |
|---|---|---|
| LMArena Text | 1429 | 1057 |
| LMArena Creative Writing | 1405 | — |
| EQ-Bench Creative Writing | 1501 | — |
| LMArena Multi-Turn | 1454 | — |
Frequently asked questions
Is Chatgpt 4o Latest 20250326 better than Codellama 70b Instruct?
Chatgpt 4o Latest 20250326 is the stronger model overall, scoring 43.8 to 33.7 on the Noometry Index.
Is Chatgpt 4o Latest 20250326 or Codellama 70b Instruct better for coding?
Chatgpt 4o Latest 20250326 scores higher on coding benchmarks: 41.6 versus 37.6 in the Noometry coding category.
How many benchmarks do Chatgpt 4o Latest 20250326 and Codellama 70b Instruct share?
4 benchmarks have published results for both models. Chatgpt 4o Latest 20250326 has 21 scored results on Noometry and Codellama 70b Instruct has 7.