Llama 3 Novita Base on GPQA Diamond: score, rank and what it means
Llama 3 Novita Base scores 67.8 on GPQA Diamond, placing it #314 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 Novita 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 Novita Base sits at #314 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 19.2 points. The median model in this index scores 68.8, which puts Llama 3 Novita Base below the midpoint.
Novita AI models average 60.9 on this benchmark. Llama 3 Novita Base is 6.9 points above that provider line, so it is a stronger result than the average Novita AI model.
Among open-weight models, the average is 63.6. Llama 3 Novita Base is 4.2 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 67.8 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 $3.06 per million input tokens, Llama 3 Novita 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 |
|---|---|---|---|---|
| Mistral Small 3 Chat | Mistral AI | 200000 | $3.54 | 73.7 |
| Seed-OSS Base | ByteDance | 16384 | $3.14 | 72.2 |
| Yi-Large Base | 01.AI | 16384 | $2.78 | 70.3 |
| DBRX Chat | Databricks | 65536 | $3.07 | 71.7 |
| Llama 3 Novita Base | Novita AI | 8192 | $3.06 | 70.3 |
| Nova Lite Turbo | Amazon | 8192 | $9.14 | 73.2 |
| Gemma 3 Chat | Google DeepMind | 65536 | $3.74 | 74.5 |
Other benchmarks for Llama 3 Novita Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 74.4 | 344 | 43th | |
| SWE-bench Verified | 56.9 | 368 | 39th | |
| HumanEval | 73.3 | 368 | 39th | |
| MATH-500 | 71.9 | 367 | 39th | |
| AIME 2025 | 62.5 | 371 | 38th | |
| LiveCodeBench | 60.4 | 363 | 40th | |
| IFEval | 79.2 | 351 | 42th | |
| TruthfulQA | 76.5 | 293 | 51th | |
| HellaSwag | 82.3 | 341 | 43th | |
| MMMU | 67.7 | 350 | 42th | |
| Arena Elo | 1360.8 | 342 | 43th |
FAQ
What score does Llama 3 Novita Base get on GPQA Diamond?
Llama 3 Novita Base scores 67.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Llama 3 Novita Base rank on GPQA Diamond?
It ranks #314 of 600 models, in the 48th percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Llama 3 Novita 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 Novita Base cost?
Llama 3 Novita Base costs $3.06 per million input tokens and $13.44 per million output tokens.