Llama 3.1 Turbo Instruct on GPQA Diamond: score, rank and what it means
Llama 3.1 Turbo Instruct scores 73.4 on GPQA Diamond, placing it #191 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 3.1 Turbo Instruct 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 3.1 Turbo Instruct sits at #191 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 13.6 points. The median model in this index scores 68.8, which puts Llama 3.1 Turbo Instruct above the midpoint.
Together AI models average 60.8 on this benchmark. Llama 3.1 Turbo Instruct is 12.6 points above that provider line, so it is a stronger result than the average Together AI model.
Among multimodal models, the average is 73.5. Llama 3.1 Turbo Instruct is 0.1 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 73.4 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 $4.21 per million input tokens, Llama 3.1 Turbo Instruct is above 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 |
|---|---|---|---|---|
| QwQ Instruct | Alibaba Cloud | 65536 | $4.62 | 79.0 |
| Reka Flash Max | Reka AI | 32768 | $11.17 | 75.9 |
| o4 Mini | OpenAI | 200000 | $11.92 | 77.7 |
| Llama 3 Anyscale Instruct | Anyscale | 200000 | $3.91 | 75.7 |
| Llama 3.1 Turbo Instruct | Together AI | 32768 | $4.21 | 76.7 |
| Nova Pro Reasoning | Amazon | 200000 | $13.48 | 79.4 |
| Llama 3.3 Groq Chat | Groq | 32768 | $4.06 | 76.8 |
Other benchmarks for Llama 3.1 Turbo Instruct
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 80.3 | 176 | 71th | |
| SWE-bench Verified | 68.3 | 137 | 77th | |
| HumanEval | 79.2 | 260 | 57th | |
| MATH-500 | 80.3 | 203 | 66th | |
| AIME 2025 | 70.5 | 249 | 59th | |
| LiveCodeBench | 66.9 | 255 | 58th | |
| IFEval | 86.0 | 158 | 74th | |
| TruthfulQA | 81.0 | 156 | 74th | |
| HellaSwag | 86.8 | 185 | 69th | |
| MMMU | 71.3 | 265 | 56th | |
| Arena Elo | 1417.0 | 161 | 73th |
FAQ
What score does Llama 3.1 Turbo Instruct get on GPQA Diamond?
Llama 3.1 Turbo Instruct scores 73.4 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Llama 3.1 Turbo Instruct rank on GPQA Diamond?
It ranks #191 of 600 models, in the 68th percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Llama 3.1 Turbo Instruct 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 3.1 Turbo Instruct cost?
Llama 3.1 Turbo Instruct costs $4.21 per million input tokens and $17.73 per million output tokens.