Model comparison
Codellama 34b Instruct vs GPT-5.3 Chat
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
MetaSummary
- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and GPT-5.3 Chat in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 28.2.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 34b Instruct | GPT-5.3 Chat | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 30.8 | 42.8 |
| Released | — | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 16K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 14 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.3 Chat leads
Codellama 34b Instruct: 28.5 (#314), GPT-5.3 Chat: 41.4 (#124)
| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1046 | 1408 |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Reasoning GPT-5.3 Chat leads
Codellama 34b Instruct: 19.6 (#255), GPT-5.3 Chat: 28.5 (#102)
| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1399 |
Math GPT-5.3 Chat leads
Codellama 34b Instruct: 31.0 (#230), GPT-5.3 Chat: 38.2 (#142)
| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1056 | 1389 |
Knowledge Not comparable
Codellama 34b Instruct: —, GPT-5.3 Chat: 38.8 (#140)
| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | — | 1397 |
Multilingual GPT-5.3 Chat leads
Codellama 34b Instruct: 25.8 (#284), GPT-5.3 Chat: 50.3 (#124)
| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1011 | 1382 |
| LMArena Chinese | 976 | 1432 |
| LMArena French | — | 1397 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1352 |
| LMArena Korean | — | 1346 |
| LMArena Russian | — | 1400 |
| LMArena Spanish | — | 1371 |
Instruction Following GPT-5.3 Chat leads
Codellama 34b Instruct: 52.2 (#291), GPT-5.3 Chat: 72.8 (#129)
| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1028 | 1378 |
Long Context GPT-5.3 Chat leads
Codellama 34b Instruct: 30.9 (#284), GPT-5.3 Chat: 42.6 (#120)
| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1013 | 1396 |
Writing & Preference GPT-5.3 Chat leads
Codellama 34b Instruct: 28.2 (#297), GPT-5.3 Chat: 63.1 (#68)
| Benchmark | Codellama 34b Instruct | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1066 | 1389 |
| LMArena Creative Writing | 1032 | 1355 |
| LMArena Multi-Turn | 1015 | 1412 |
| EQ-Bench Creative Writing | — | 1690 |
Frequently asked questions
Is Codellama 34b Instruct better than GPT-5.3 Chat?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or GPT-5.3 Chat better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and GPT-5.3 Chat share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-5.3 Chat has 18.