Llama 3 DeepInfra on HellaSwag: score, rank and what it means
Llama 3 DeepInfra scores 85.7 on HellaSwag, placing it #225 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.
Score distribution
The chart shows the top 10 models on HellaSwag, with Llama 3 DeepInfra highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 3 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 4 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 5 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 6 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 7 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| 8 | Gemini 3 Pro Turbo | Google DeepMind | 400000 | $19.62 | 86.4 |
| 9 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 10 | o4 Pro | OpenAI | 1000000 | $19.37 | 87.3 |
What this score means
On HellaSwag, Llama 3 DeepInfra sits at #225 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 10.4 points. The median model in this index scores 83.6, which puts Llama 3 DeepInfra above the midpoint.
DeepInfra models average 78.4 on this benchmark. Llama 3 DeepInfra is 7.3 points above that provider line, so it is a stronger result than the average DeepInfra model.
Among multimodal models, the average is 86.8. Llama 3 DeepInfra is 1.1 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 85.7 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 DeepInfra is below the median input price of $4.00 across the 600 models scored on HellaSwag. 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 |
|---|---|---|---|---|
| Yi-Lightning Instruct | 01.AI | 128000 | $4.16 | 76.5 |
| Gemini 3 Pro Mini | Google DeepMind | 128000 | $12.27 | 78.1 |
| Kimi K1.5 Base | Moonshot AI | 65536 | $4.34 | 77.4 |
| MiniMax-Text | MiniMax | 32768 | $4.44 | 77.0 |
| Llama 3 DeepInfra | DeepInfra | 128000 | $3.67 | 74.0 |
| Seed-OSS Chat | ByteDance | 65536 | $3.49 | 74.4 |
| GPT-5.1 Nano | OpenAI | 32768 | $9.56 | 74.1 |
Other benchmarks for Llama 3 DeepInfra
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 77.5 | 259 | 57th | |
| GPQA Diamond | 69.2 | 290 | 52th | |
| SWE-bench Verified | 60.2 | 323 | 46th | |
| HumanEval | 79.1 | 263 | 56th | |
| MATH-500 | 75.8 | 304 | 49th | |
| AIME 2025 | 67.7 | 299 | 50th | |
| LiveCodeBench | 64.9 | 295 | 51th | |
| IFEval | 81.4 | 290 | 52th | |
| TruthfulQA | 78.2 | 250 | 58th | |
| MMMU | 74.1 | 184 | 69th | |
| Arena Elo | 1370.4 | 314 | 48th |
FAQ
What score does Llama 3 DeepInfra get on HellaSwag?
Llama 3 DeepInfra scores 85.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.
How does Llama 3 DeepInfra rank on HellaSwag?
It ranks #225 of 600 models, in the 63rd percentile. The leader is GPT-5.2 Max at 96.1.
Is Llama 3 DeepInfra good at HellaSwag?
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 HellaSwag score calculated?
HellaSwag is a commonsense 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 DeepInfra cost?
Llama 3 DeepInfra costs $3.67 per million input tokens and $14.87 per million output tokens.