Model comparison
GPT-5-Codex vs Llama 3-70B
GPT-5-Codex is the stronger model overall, scoring 37.3 to 28.5 on the Noometry Index.
Last verified . 1 shared benchmarks.
MetaSummary
- They share 1 benchmark with published results for both. GPT-5-Codex scores higher in 3 categories and Llama 3-70B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5-Codex leads 30.0 to 17.4.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for GPT-5-Codex and 35.1% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | Llama 3-70B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 37.3 | 28.5 |
| Released | 2025-09-15 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 3 | 31 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 41.9 (#100), Llama 3-70B: 35.3 (#215)
| Benchmark | GPT-5-Codex | Llama 3-70B |
|---|---|---|
| WeirdML | 54.5% | — |
| BigCodeBench Instruct | — | 43.6% |
| LMArena Coding | — | 1206 |
| BigCodeBench Complete | — | 54.5% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use GPT-5-Codex leads
GPT-5-Codex: 30.8 (#66), Llama 3-70B: 20.9 (#132)
| Benchmark | GPT-5-Codex | Llama 3-70B |
|---|---|---|
| Terminal-Bench | 44.3% | — |
| Cybench | — | 5% |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.0 (#80), Llama 3-70B: 17.4 (#284)
| Benchmark | GPT-5-Codex | Llama 3-70B |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 35.1% |
| LMArena Hard Prompts | — | 1195 |
| DTBench | — | 54.2% |
| Epoch Capabilities Index | — | 122.91 |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |
Math Not comparable
GPT-5-Codex: —, Llama 3-70B: 12.0 (#299)
| Benchmark | GPT-5-Codex | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 4.3% |
| LMArena Math | — | 1218 |
| MATH Level 5 | — | 22.6% |
Knowledge Not comparable
GPT-5-Codex: —, Llama 3-70B: 20.8 (#272)
| Benchmark | GPT-5-Codex | Llama 3-70B |
|---|---|---|
| GPQA Diamond | — | 40.6% |
| LMArena Expert | — | 1149 |
| MMLU | — | 79.3% |
Multilingual Not comparable
GPT-5-Codex: —, Llama 3-70B: 33.8 (#246)
| Benchmark | GPT-5-Codex | Llama 3-70B |
|---|---|---|
| LMArena Non-English | — | 1142 |
| LMArena Chinese | — | 1114 |
| LMArena French | — | 1231 |
| LMArena German | — | 1169 |
| LMArena Japanese | — | 1017 |
| LMArena Korean | — | 1017 |
| LMArena Russian | — | 1159 |
| LMArena Spanish | — | 1241 |
Instruction Following Not comparable
GPT-5-Codex: —, Llama 3-70B: 62.8 (#233)
| Benchmark | GPT-5-Codex | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | — | 1194 |
Long Context Not comparable
GPT-5-Codex: —, Llama 3-70B: 35.6 (#235)
| Benchmark | GPT-5-Codex | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | — | 1174 |
Writing & Preference Not comparable
GPT-5-Codex: —, Llama 3-70B: 43.0 (#225)
| Benchmark | GPT-5-Codex | Llama 3-70B |
|---|---|---|
| LMArena Text | — | 1221 |
| LMArena Creative Writing | — | 1210 |
| LMArena Multi-Turn | — | 1223 |
Frequently asked questions
Is GPT-5-Codex better than Llama 3-70B?
GPT-5-Codex is the stronger model overall, scoring 37.3 to 28.5 on the Noometry Index.
Is GPT-5-Codex or Llama 3-70B better for coding?
GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 35.3 in the Noometry coding category.
How many benchmarks do GPT-5-Codex and Llama 3-70B share?
1 benchmark has published results for both models. GPT-5-Codex has 3 scored results on Noometry and Llama 3-70B has 31.