Model comparison
Codellama 70b Instruct vs GPT-5 Nano
Codellama 70b Instruct and GPT-5 Nano score almost the same on the Noometry Index (33.7 vs 33.5), so choose on price, context window or the category you care about most.
Last verified . 4 shared benchmarks.
MetaSummary
- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 2 categories and GPT-5 Nano in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where GPT-5 Nano leads 75.0 to 51.9.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 70b Instruct | GPT-5 Nano | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 33.7 | 33.5 |
| Released | — | 2025-08-07 |
| Weights | Open | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 7 | 49 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.6 (#193), GPT-5 Nano: 33.6 (#254)
| Benchmark | Codellama 70b Instruct | GPT-5 Nano |
|---|---|---|
| SWE-bench Verified (bash only) | — | 34.8% |
| WeirdML | — | 38.1% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1351 |
| BigCodeBench Complete | 49.6% | — |
| ALE-Bench | — | 718.67 |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, GPT-5 Nano: 25.8 (#106)
| Benchmark | Codellama 70b Instruct | GPT-5 Nano |
|---|---|---|
| Terminal-Bench | — | 21.8% |
| Berkeley Function Calling Leaderboard | — | 51.5% |
Reasoning Codellama 70b Instruct leads
Codellama 70b Instruct: 20.1 (#242), GPT-5 Nano: 16.3 (#306)
| Benchmark | Codellama 70b Instruct | GPT-5 Nano |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1328 |
| ARC-AGI-2 | — | 2.6% |
| Kagi LLM Benchmark | — | 62.2% |
| ARC-AGI-1 | — | 20.7% |
| Chess Puzzles | — | 27% |
| Mystery Game Puzzles | — | 9% |
| DTBench | — | 62.7% |
| LMCA | — | 7.9% |
| Epoch Capabilities Index | — | 139.38 |
| ForecastBench | — | 59.1 |
Math Not comparable
Codellama 70b Instruct: —, GPT-5 Nano: 29.4 (#241)
| Benchmark | Codellama 70b Instruct | GPT-5 Nano |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20% |
| FrontierMath Tier 4 | — | 2.4% |
| OTIS Mock AIME 2024-2025 | — | 81.1% |
| ProofBench | — | 12% |
| Omni-MATH | — | 54.6% |
| LMArena Math | — | 1317 |
| MATH Level 5 | — | 95.2% |
| FrontierMath (Feb 2025 set) | — | 8.3% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Not comparable
Codellama 70b Instruct: —, GPT-5 Nano: 35.9 (#178)
| Benchmark | Codellama 70b Instruct | GPT-5 Nano |
|---|---|---|
| GPQA Diamond | — | 69.4% |
| SimpleQA Verified | — | 11.7% |
| MMLU-Pro | — | 77.8% |
| Vectara Hallucination Rate | — | 10.5% |
| GPQA (HELM) | — | 67.9% |
| LMArena Expert | — | 1321 |
Multimodal Not comparable
Codellama 70b Instruct: —, GPT-5 Nano: 31.3 (#108)
| Benchmark | Codellama 70b Instruct | GPT-5 Nano |
|---|---|---|
| LMArena Vision | — | 1159 |
| VPCT | — | 37.2% |
Multilingual GPT-5 Nano leads
Codellama 70b Instruct: 24.8 (#288), GPT-5 Nano: 45.3 (#172)
| Benchmark | Codellama 70b Instruct | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 992 | 1313 |
| LMArena Chinese | — | 1356 |
| LMArena German | — | 1327 |
| LMArena Japanese | — | 1226 |
| LMArena Korean | — | 1269 |
| LMArena Russian | — | 1296 |
| LMArena Spanish | — | 1360 |
Instruction Following GPT-5 Nano leads
Codellama 70b Instruct: 51.9 (#293), GPT-5 Nano: 75.0 (#79)
| Benchmark | Codellama 70b Instruct | GPT-5 Nano |
|---|---|---|
| LMArena Instruction Following | 1024 | 1306 |
| IFEval | — | 93.2% |
Long Context Not comparable
Codellama 70b Instruct: —, GPT-5 Nano: 31.3 (#281)
| Benchmark | Codellama 70b Instruct | GPT-5 Nano |
|---|---|---|
| Fiction.LiveBench | — | 44.4% |
| LMArena Longer Query | — | 1312 |
Writing & Preference GPT-5 Nano leads
Codellama 70b Instruct: 33.4 (#277), GPT-5 Nano: 39.1 (#249)
| Benchmark | Codellama 70b Instruct | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1057 | 1320 |
| LMArena Creative Writing | — | 1249 |
| EQ-Bench Creative Writing | — | 705 |
| WildBench | — | 80.6% |
| LMArena Multi-Turn | — | 1311 |
Frequently asked questions
Is Codellama 70b Instruct better than GPT-5 Nano?
Codellama 70b Instruct and GPT-5 Nano score almost the same on the Noometry Index (33.7 vs 33.5), so choose on price, context window or the category you care about most.
Is Codellama 70b Instruct or GPT-5 Nano better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 33.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and GPT-5 Nano share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and GPT-5 Nano has 49.