Llama 3 Anyscale Chat on Arena Elo: score, rank and what it means
Llama 3 Anyscale Chat scores 1373.6 on Arena Elo, placing it #302 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 Anyscale Chat 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 Anyscale Chat sits at #302 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 128.3 points. The median model in this index scores 1373.8, which puts Llama 3 Anyscale Chat below the midpoint.
Anyscale models average 1315.0 on this benchmark. Llama 3 Anyscale Chat is 58.6 points above that provider line, so it is a stronger result than the average Anyscale model.
Among multimodal models, the average is 1409.6. Llama 3 Anyscale Chat is 36.0 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 1373.6 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 $3.67 per million input tokens, Llama 3 Anyscale Chat 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 |
|---|---|---|---|---|
| Grok 4 Nano | xAI | 16384 | $8.97 | 72.7 |
| Phi-4 Base | Microsoft | 32768 | $3.15 | 71.2 |
| QwQ Base | Alibaba Cloud | 65536 | $3.68 | 74.1 |
| Doubao 1.5 Pro Mini | ByteDance | 32768 | $8.30 | 72.3 |
| Llama 3 Anyscale Chat | Anyscale | 65536 | $3.67 | 74.6 |
| Llama 3 Replicate | Replicate | 200000 | $3.75 | 75.7 |
| MiniMax-Text Base | MiniMax | 128000 | $3.66 | 74.9 |
Other benchmarks for Llama 3 Anyscale Chat
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 77.5 | 258 | 57th | |
| GPQA Diamond | 68.8 | 302 | 50th | |
| SWE-bench Verified | 61.8 | 283 | 53th | |
| HumanEval | 79.5 | 247 | 59th | |
| MATH-500 | 76.0 | 299 | 50th | |
| AIME 2025 | 72.9 | 205 | 66th | |
| LiveCodeBench | 66.3 | 268 | 55th | |
| IFEval | 84.2 | 210 | 65th | |
| TruthfulQA | 75.9 | 308 | 49th | |
| HellaSwag | 85.1 | 238 | 60th | |
| MMMU | 72.6 | 230 | 62th |
FAQ
What score does Llama 3 Anyscale Chat get on Arena Elo?
Llama 3 Anyscale Chat scores 1373.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.
How does Llama 3 Anyscale Chat rank on Arena Elo?
It ranks #302 of 600 models, in the 50th percentile. The leader is Claude Opus 4.5 Max at 1501.9.
Is Llama 3 Anyscale Chat 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 Anyscale Chat cost?
Llama 3 Anyscale Chat costs $3.67 per million input tokens and $14.56 per million output tokens.