Llama 3.1 Base on Arena Elo: score, rank and what it means
Llama 3.1 Base scores 1369.7 on Arena Elo, placing it #318 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.
Score distribution
The chart shows the top 10 models on Arena Elo, with Llama 3.1 Base highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 2 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 3 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 6 | Gemini 3 Pro Turbo | Google DeepMind | 400000 | $19.62 | 86.4 |
| 7 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 8 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 9 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 10 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
What this score means
On Arena Elo, Llama 3.1 Base sits at #318 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 132.2 points. The median model in this index scores 1373.8, which puts Llama 3.1 Base below the midpoint.
Meta AI models average 1342.5 on this benchmark. Llama 3.1 Base is 27.2 points above that provider line, so it is a stronger result than the average Meta AI model.
Among multimodal models, the average is 1409.6. Llama 3.1 Base is 39.9 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 1369.7 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $3.39 per million input tokens, Llama 3.1 Base is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3 DeepInfra | DeepInfra | 128000 | $3.67 | 74.0 |
| Claude Haiku 4.5 Mini | Anthropic | 16384 | $8.76 | 71.6 |
| Firefunction Max | Fireworks AI | 32768 | $9.12 | 73.2 |
| Llama 3 Hyperbolic Base | Hyperbolic | 32768 | $3.02 | 71.1 |
| Llama 3.1 Base | Meta AI | 32768 | $3.39 | 72.2 |
| Command A Mini | Cohere | 8192 | $8.12 | 71.0 |
| OLMo 2 Instruct | Allen Institute for AI | 32768 | $3.03 | 71.7 |
Other benchmarks for Llama 3.1 Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 75.2 | 328 | 45th | |
| GPQA Diamond | 68.3 | 308 | 49th | |
| SWE-bench Verified | 59.9 | 329 | 45th | |
| HumanEval | 76.4 | 322 | 46th | |
| MATH-500 | 77.0 | 277 | 54th | |
| AIME 2025 | 64.7 | 341 | 43th | |
| LiveCodeBench | 61.7 | 353 | 41th | |
| IFEval | 83.0 | 242 | 60th | |
| TruthfulQA | 75.7 | 315 | 48th | |
| HellaSwag | 81.9 | 351 | 42th | |
| MMMU | 69.9 | 308 | 49th |
FAQ
What score does Llama 3.1 Base get on Arena Elo?
Llama 3.1 Base scores 1369.7 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.
How does Llama 3.1 Base rank on Arena Elo?
It ranks #318 of 600 models, in the 47th percentile. The leader is Claude Opus 4.5 Max at 1501.9.
Is Llama 3.1 Base good at Arena Elo?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the Arena Elo score calculated?
Arena Elo is a preference benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Llama 3.1 Base cost?
Llama 3.1 Base costs $3.39 per million input tokens and $16.57 per million output tokens.