Commonsense · DeepInfra

Llama 3 DeepInfra 7B on HellaSwag: score, rank and what it means

Llama 3 DeepInfra 7B scores 71.0 on HellaSwag, placing it #520 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
71.0
0–100 scale
Rank
#520
of 600
Percentile
13th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
25.1
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Llama 3 DeepInfra 7B highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 7B sits at #520 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 25.1 points. The median model in this index scores 83.6, which puts Llama 3 DeepInfra 7B below the midpoint.

DeepInfra models average 78.4 on this benchmark. Llama 3 DeepInfra 7B is 7.4 points below that provider line, so it is a weaker result than the average DeepInfra model.

Among small open-weight models, the average is 70.2. Llama 3 DeepInfra 7B is 0.8 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 71.0 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 $0.95 per million input tokens, Llama 3 DeepInfra 7B 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.

ModelProviderContextInput / 1MAvg score
Llama 3 Lambda 8B Lambda 4096 $1.03 57.2
Command R+ 7B Cohere 8192 $0.95 56.2
Llama 3.1 7B Meta AI 8192 $1.01 57.4
Llama 4 Scout 1.5B Meta AI 8192 $0.66 53.0
Llama 3 DeepInfra 7B DeepInfra 16384 $0.95 55.6
Llama 3 Replicate 8B Replicate 32768 $1.00 57.0
GLM-4.5 1.5B Zhipu AI 16384 $0.65 53.3

Other benchmarks for Llama 3 DeepInfra 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.6 482 20th
GPQA Diamond 54.1 479 20th
SWE-bench Verified 38.7 531 12th
HumanEval 57.1 530 12th
MATH-500 55.1 519 14th
AIME 2025 43.7 514 14th
LiveCodeBench 45.8 488 19th
IFEval 66.4 513 15th
TruthfulQA 63.6 480 20th
MMMU 53.0 519 14th
Arena Elo 1233.6 522 13th

FAQ

What score does Llama 3 DeepInfra 7B get on HellaSwag?

Llama 3 DeepInfra 7B scores 71.0 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Llama 3 DeepInfra 7B rank on HellaSwag?

It ranks #520 of 600 models, in the 13th percentile. The leader is GPT-5.2 Max at 96.1.

Is Llama 3 DeepInfra 7B good at HellaSwag?

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 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 7B cost?

Llama 3 DeepInfra 7B costs $0.95 per million input tokens and $3.71 per million output tokens.

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