Llama 3.3 Groq Base on GPQA Diamond: score, rank and what it means
Llama 3.3 Groq Base scores 65.6 on GPQA Diamond, placing it #351 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 Groq 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 Groq Base sits at #351 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 21.4 points. The median model in this index scores 68.8, which puts Llama 3.3 Groq Base below the midpoint.
Groq models average 60.6 on this benchmark. Llama 3.3 Groq Base is 5.0 points above that provider line, so it is a stronger result than the average Groq model.
Among open-weight models, the average is 63.6. Llama 3.3 Groq Base is 2.0 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 65.6 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 $3.24 per million input tokens, Llama 3.3 Groq 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 |
|---|---|---|---|---|
| Reka Core Mini | Reka AI | 8192 | $7.48 | 70.1 |
| Yi-Lightning Base | 01.AI | 16384 | $3.31 | 72.7 |
| Arctic Chat | Snowflake | 16384 | $2.70 | 69.8 |
| Llama 3.1 Turbo Base | Together AI | 16384 | $3.30 | 73.0 |
| Llama 3.3 Groq Base | Groq | 16384 | $3.24 | 73.5 |
| Phi-3.5 Instruct | Microsoft | 16384 | $2.67 | 70.1 |
| Gemini 2.5 Pro Nano | Google DeepMind | 32768 | $7.28 | 69.2 |
Other benchmarks for Llama 3.3 Groq Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 75.3 | 324 | 46th | |
| SWE-bench Verified | 61.0 | 298 | 50th | |
| HumanEval | 79.3 | 257 | 57th | |
| MATH-500 | 77.3 | 271 | 55th | |
| AIME 2025 | 71.0 | 235 | 61th | |
| LiveCodeBench | 66.8 | 257 | 57th | |
| IFEval | 81.0 | 310 | 48th | |
| TruthfulQA | 75.9 | 310 | 48th | |
| HellaSwag | 85.2 | 235 | 61th | |
| MMMU | 69.8 | 311 | 48th | |
| Arena Elo | 1375.9 | 288 | 52th |
FAQ
What score does Llama 3.3 Groq Base get on GPQA Diamond?
Llama 3.3 Groq Base scores 65.6 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Llama 3.3 Groq Base rank on GPQA Diamond?
It ranks #351 of 600 models, in the 42nd percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Llama 3.3 Groq Base good at GPQA Diamond?
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 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 Groq Base cost?
Llama 3.3 Groq Base costs $3.24 per million input tokens and $12.28 per million output tokens.