Coding · Meta AI

Llama 4 Maverick 7B on HumanEval: score, rank and what it means

Llama 4 Maverick 7B scores 65.1 on HumanEval, placing it #440 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
65.1
0–100 scale
Rank
#440
of 600
Percentile
27th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
31.7
points

Score distribution

The chart shows the top 10 models on HumanEval, with Llama 4 Maverick 7B 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 4 Maverick 7B sits at #440 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 31.7 points. The median model in this index scores 77.4, which puts Llama 4 Maverick 7B below the midpoint.

Meta AI models average 73.2 on this benchmark. Llama 4 Maverick 7B is 8.1 points below that provider line, so it is a weaker result than the average Meta AI model.

Among small open-weight models, the average is 56.7. Llama 4 Maverick 7B is 8.4 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 65.1 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 $1.52 per million input tokens, Llama 4 Maverick 7B 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
Zephyr Chat Hugging Face 4096 $1.49 61.3
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
GLM-4.5 7B Zhipu AI 8192 $1.32 60.2
Qwen3 7B Alibaba Cloud 32768 $1.37 59.8
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
Zephyr Instruct Hugging Face 4096 $1.66 62.4
GPT-NeoX EleutherAI 16384 $1.57 61.7

Other benchmarks for Llama 4 Maverick 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.2 451 25th
GPQA Diamond 59.2 414 31th
SWE-bench Verified 50.0 422 30th
MATH-500 66.0 414 31th
AIME 2025 56.5 407 32th
LiveCodeBench 48.5 461 23th
IFEval 70.7 445 26th
TruthfulQA 65.6 452 25th
HellaSwag 75.1 438 27th
MMMU 58.7 446 26th
Arena Elo 1287.3 435 28th

FAQ

What score does Llama 4 Maverick 7B get on HumanEval?

Llama 4 Maverick 7B scores 65.1 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Llama 4 Maverick 7B rank on HumanEval?

It ranks #440 of 600 models, in the 27th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Llama 4 Maverick 7B 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 4 Maverick 7B cost?

Llama 4 Maverick 7B costs $1.52 per million input tokens and $8.19 per million output tokens.

Related