Llama 3.3 Base on GPQA Diamond: score, rank and what it means
Llama 3.3 Base scores 71.4 on GPQA Diamond, placing it #233 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 3.3 Base 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 3.3 Base sits at #233 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 15.6 points. The median model in this index scores 68.8, which puts Llama 3.3 Base above the midpoint.
Meta AI models average 64.6 on this benchmark. Llama 3.3 Base is 6.8 points above that provider line, so it is a stronger result than the average Meta AI model.
Among multimodal models, the average is 73.5. Llama 3.3 Base is 2.1 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 71.4 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 $3.63 per million input tokens, Llama 3.3 Base 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 |
|---|---|---|---|---|
| Fusion Max | OpenRouter | 65536 | $9.14 | 72.5 |
| Gemma 3 | Google DeepMind | 65536 | $3.68 | 73.6 |
| GPT-5.1 Mini | OpenAI | 128000 | $12.19 | 77.7 |
| Llama 3 Lambda Chat | Lambda | 32768 | $3.73 | 74.7 |
| Llama 3.3 Base | Meta AI | 32768 | $3.63 | 74.0 |
| Mixtral | Mistral AI | 65536 | $3.48 | 73.7 |
| GPT-5.1 Nano | OpenAI | 32768 | $9.56 | 74.1 |
Other benchmarks for Llama 3.3 Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 79.7 | 190 | 68th | |
| SWE-bench Verified | 62.5 | 267 | 56th | |
| HumanEval | 77.7 | 294 | 51th | |
| MATH-500 | 77.0 | 279 | 54th | |
| AIME 2025 | 71.5 | 227 | 62th | |
| LiveCodeBench | 64.8 | 297 | 51th | |
| IFEval | 80.4 | 323 | 46th | |
| TruthfulQA | 76.5 | 294 | 51th | |
| HellaSwag | 83.0 | 320 | 47th | |
| MMMU | 69.7 | 312 | 48th | |
| Arena Elo | 1396.4 | 220 | 63th |
FAQ
What score does Llama 3.3 Base get on GPQA Diamond?
Llama 3.3 Base scores 71.4 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Llama 3.3 Base rank on GPQA Diamond?
It ranks #233 of 600 models, in the 61st percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Llama 3.3 Base 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 3.3 Base cost?
Llama 3.3 Base costs $3.63 per million input tokens and $15.34 per million output tokens.