Llama 3 DeepInfra Chat on HellaSwag: score, rank and what it means
Llama 3 DeepInfra Chat scores 83.6 on HellaSwag, placing it #299 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 Chat 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 Chat sits at #299 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 12.5 points. The median model in this index scores 83.6, which puts Llama 3 DeepInfra Chat above the midpoint.
DeepInfra models average 78.4 on this benchmark. Llama 3 DeepInfra Chat is 5.2 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 Chat is 3.2 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 83.6 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 $3.74 per million input tokens, Llama 3 DeepInfra Chat 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 |
|---|---|---|---|---|
| Mixtral Chat | Mistral AI | 65536 | $3.30 | 72.6 |
| Seed-OSS Base | ByteDance | 16384 | $3.14 | 72.2 |
| Arctic Instruct | Snowflake | 65536 | $2.83 | 70.6 |
| Doubao 1.5 Pro Mini | ByteDance | 32768 | $8.30 | 72.3 |
| Llama 3 DeepInfra Chat | DeepInfra | 200000 | $3.74 | 75.0 |
| Llama 4 Scout Base | Meta AI | 32768 | $3.95 | 75.3 |
| Sonar Turbo | Perplexity | 65536 | $10.71 | 75.7 |
Other benchmarks for Llama 3 DeepInfra Chat
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 76.8 | 281 | 53th | |
| GPQA Diamond | 69.0 | 295 | 51th | |
| SWE-bench Verified | 65.5 | 204 | 66th | |
| HumanEval | 77.3 | 304 | 49th | |
| MATH-500 | 80.6 | 198 | 67th | |
| AIME 2025 | 72.5 | 209 | 65th | |
| LiveCodeBench | 67.8 | 230 | 62th | |
| IFEval | 81.4 | 291 | 52th | |
| TruthfulQA | 78.3 | 244 | 59th | |
| MMMU | 72.1 | 240 | 60th | |
| Arena Elo | 1376.4 | 286 | 52th |
FAQ
What score does Llama 3 DeepInfra Chat get on HellaSwag?
Llama 3 DeepInfra Chat scores 83.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.
How does Llama 3 DeepInfra Chat rank on HellaSwag?
It ranks #299 of 600 models, in the 50th percentile. The leader is GPT-5.2 Max at 96.1.
Is Llama 3 DeepInfra Chat 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 Chat cost?
Llama 3 DeepInfra Chat costs $3.74 per million input tokens and $15.32 per million output tokens.