Llama 3 Anyscale Chat on GPQA Diamond: score, rank and what it means
Llama 3 Anyscale Chat scores 68.8 on GPQA Diamond, placing it #302 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.
Score distribution
The chart shows the top 10 models on GPQA Diamond, with Llama 3 Anyscale Chat highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 5 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 6 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 7 | o4 Turbo | OpenAI | 2000000 | $19.34 | 86.6 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 10 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
What this score means
On GPQA Diamond, Llama 3 Anyscale Chat sits at #302 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 18.2 points. The median model in this index scores 68.8, which puts Llama 3 Anyscale Chat above the midpoint.
Anyscale models average 61.3 on this benchmark. Llama 3 Anyscale Chat is 7.5 points above that provider line, so it is a stronger result than the average Anyscale model.
Among multimodal models, the average is 73.5. Llama 3 Anyscale Chat is 4.7 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 68.8 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 GPQA Diamond. 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 |
|---|---|---|---|---|
| Claude Sonnet 4.5 Nano | Anthropic | 8192 | $8.93 | 72.0 |
| Nemotron 4 Base | NVIDIA | 8192 | $3.29 | 73.0 |
| Auto Pro | OpenRouter | 8192 | $8.41 | 71.2 |
| Firefunction Max | Fireworks AI | 32768 | $9.12 | 73.2 |
| Llama 3 Anyscale Chat | Anyscale | 65536 | $3.67 | 74.6 |
| Sonar Pro Mini | Perplexity | 8192 | $8.02 | 70.3 |
| Reka Flash | Reka AI | 128000 | $9.95 | 74.1 |
Other benchmarks for Llama 3 Anyscale Chat
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 77.5 | 258 | 57th | |
| 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 | |
| Arena Elo | 1373.6 | 302 | 50th |
FAQ
What score does Llama 3 Anyscale Chat get on GPQA Diamond?
Llama 3 Anyscale Chat scores 68.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Llama 3 Anyscale Chat rank on GPQA Diamond?
It ranks #302 of 600 models, in the 50th percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Llama 3 Anyscale Chat good at GPQA Diamond?
Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.
How is the GPQA Diamond score calculated?
GPQA Diamond is a reasoning 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.