Coding · DeepInfra

Llama 3 DeepInfra Base on HumanEval: score, rank and what it means

Llama 3 DeepInfra Base scores 76.2 on HumanEval, placing it #326 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
76.2
0–100 scale
Rank
#326
of 600
Percentile
46th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
20.6
points

Score distribution

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

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Llama 3 DeepInfra Base sits at #326 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 20.6 points. The median model in this index scores 77.4, which puts Llama 3 DeepInfra Base below the midpoint.

DeepInfra models average 68.8 on this benchmark. Llama 3 DeepInfra Base is 7.4 points above that provider line, so it is a stronger result than the average DeepInfra model.

Among open-weight models, the average is 72.4. Llama 3 DeepInfra Base is 3.8 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 76.2 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 $2.95 per million input tokens, Llama 3 DeepInfra Base is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.1 Base Meta AI 32768 $3.39 72.2
Claude Haiku 4.5 Mini Anthropic 16384 $8.76 71.6
Fusion Turbo OpenRouter 8192 $8.55 71.7
Grok 4 Nano xAI 16384 $8.97 72.7
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Phi-3.5 Microsoft 16384 $2.81 70.9
GPT-5.1 Nano OpenAI 32768 $9.56 74.1

Other benchmarks for Llama 3 DeepInfra Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.6 316 47th
GPQA Diamond 64.5 371 38th
SWE-bench Verified 58.2 352 41th
MATH-500 75.9 302 50th
AIME 2025 67.5 302 50th
LiveCodeBench 63.5 332 45th
IFEval 79.7 339 44th
TruthfulQA 77.0 282 53th
HellaSwag 83.8 287 52th
MMMU 67.6 351 42th
Arena Elo 1374.7 295 51th

FAQ

What score does Llama 3 DeepInfra Base get on HumanEval?

Llama 3 DeepInfra Base scores 76.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Llama 3 DeepInfra Base rank on HumanEval?

It ranks #326 of 600 models, in the 46th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Llama 3 DeepInfra Base good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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 Base cost?

Llama 3 DeepInfra Base costs $2.95 per million input tokens and $15.78 per million output tokens.

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