Model comparison
GPT-4o mini vs Llama 3-8B
GPT-4o mini and Llama 3-8B score almost the same on the Noometry Index (25.5 vs 25.5), so choose on price, context window or the category you care about most.
Last verified . 28 shared benchmarks.
MetaSummary
- They share 28 benchmarks with published results for both. GPT-4o mini scores higher in 6 categories and Llama 3-8B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-4o mini leads 42.0 to 30.8.
- The biggest single-benchmark swing is MATH Level 5: 52.6% for GPT-4o mini and 6.1% for Llama 3-8B.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| GPT-4o mini | Llama 3-8B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 25.5 | 25.5 |
| Released | 2024-07-18 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 60 | 34 |
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Category by category
Coding Llama 3-8B leads
GPT-4o mini: 22.0 (#335), Llama 3-8B: 31.0 (#289)
| Benchmark | GPT-4o mini | Llama 3-8B |
|---|---|---|
| BigCodeBench Instruct | 46.1% | 31.9% |
| LMArena Coding | 1290 | 1152 |
| BigCodeBench Complete | 57.4% | 36.9% |
| HumanEval+ | 83.5% | 56.7% |
| MBPP+ | 72.2% | 54.8% |
| Aider Polyglot | 3.6% | — |
| WeirdML | 11.8% | — |
| LiveBench Coding | 43.1% | — |
Agentic & Tool Use Not comparable
GPT-4o mini: 27.5 (#101), Llama 3-8B: —
| Benchmark | GPT-4o mini | Llama 3-8B |
|---|---|---|
| BALROG | 17.4% | — |
Reasoning Llama 3-8B leads
GPT-4o mini: 8.7 (#347), Llama 3-8B: 14.3 (#326)
| Benchmark | GPT-4o mini | Llama 3-8B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1267 | 1133 |
| DTBench | 54.4% | 43.9% |
| Epoch Capabilities Index | 126.56 | 116.45 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 10.7% | — |
| Kagi LLM Benchmark | 28.8% | — |
| LiveBench Reasoning | 32.8% | — |
| Mystery Game Puzzles | 12% | — |
| LiveBench Data Analysis | 50% | — |
| LMCA | 10.4% | — |
| Adversarial NLI | — | 57.3% |
| ForecastBench | — | 58.6 |
| LiveBench | 41.3% | — |
| PIQA | 88.7% | — |
| WinoGrande | — | 75.7% |
Math GPT-4o mini leads
GPT-4o mini: 10.4 (#314), Llama 3-8B: 8.8 (#323)
| Benchmark | GPT-4o mini | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.9% | 1.9% |
| LMArena Math | 1267 | 1151 |
| MATH Level 5 | 52.6% | 6.1% |
| FrontierMath (Tiers 1-3) | 0.7% | — |
| Omni-MATH | 28% | — |
| LiveBench Math | 36.3% | — |
| GSM8K | 91.3% | — |
Knowledge GPT-4o mini leads
GPT-4o mini: 17.7 (#284), Llama 3-8B: 7.8 (#308)
| Benchmark | GPT-4o mini | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 37.7% | 26.1% |
| LMArena Expert | 1235 | 1113 |
| MMLU | 81.8% | 68.8% |
| SimpleQA Verified | 8.3% | — |
| MMLU-Pro | 60.3% | — |
| Confabulations | 37.2% | — |
| GPQA (HELM) | 36.8% | — |
| ARC (AI2) Challenge | — | 82.8% |
| BoolQ | 88.7% | — |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multimodal Not comparable
GPT-4o mini: 25.9 (#122), Llama 3-8B: —
| Benchmark | GPT-4o mini | Llama 3-8B |
|---|---|---|
| LMArena Vision | 1066 | — |
| Video-MME | 64.8% | — |
| GeoBench | 64% | — |
| VPCT | 34% | — |
Multilingual GPT-4o mini leads
GPT-4o mini: 42.0 (#199), Llama 3-8B: 30.8 (#261)
| Benchmark | GPT-4o mini | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1266 | 1098 |
| LMArena Chinese | 1265 | 1076 |
| LMArena French | 1297 | 1159 |
| LMArena German | 1272 | 1104 |
| LMArena Japanese | 1216 | 967 |
| LMArena Korean | 1195 | 1004 |
| LMArena Russian | 1275 | 1109 |
| LMArena Spanish | 1276 | 1173 |
Instruction Following GPT-4o mini leads
GPT-4o mini: 61.9 (#239), Llama 3-8B: 58.4 (#260)
| Benchmark | GPT-4o mini | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1258 | 1127 |
| LiveBench Instruction Following | 56.8% | — |
| IFEval | 78.2% | — |
Long Context GPT-4o mini leads
GPT-4o mini: 39.1 (#186), Llama 3-8B: 34.2 (#251)
| Benchmark | GPT-4o mini | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1289 | 1128 |
Writing & Preference GPT-4o mini leads
GPT-4o mini: 39.5 (#248), Llama 3-8B: 37.5 (#256)
| Benchmark | GPT-4o mini | Llama 3-8B |
|---|---|---|
| LMArena Text | 1286 | 1166 |
| LMArena Creative Writing | 1268 | 1150 |
| LMArena Multi-Turn | 1285 | 1152 |
| Short-Story Creative Writing | 67.2% | — |
| EQ-Bench Creative Writing | 873 | — |
| WildBench | 79.1% | — |
| LiveBench Language | 28.6% | — |
Frequently asked questions
Is GPT-4o mini better than Llama 3-8B?
GPT-4o mini and Llama 3-8B score almost the same on the Noometry Index (25.5 vs 25.5), so choose on price, context window or the category you care about most.
Is GPT-4o mini or Llama 3-8B better for coding?
Llama 3-8B scores higher on coding benchmarks: 31.0 versus 22.0 in the Noometry coding category.
How many benchmarks do GPT-4o mini and Llama 3-8B share?
28 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Llama 3-8B has 34.