Coding · Meta AI

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

Llama 4 Maverick Chat scores 83.2 on HumanEval, placing it #157 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
83.2
0–100 scale
Rank
#157
of 600
Percentile
74th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
13.6
points

Score distribution

The chart shows the top 10 models on HumanEval, with Llama 4 Maverick Chat 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 Chat sits at #157 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 13.6 points. The median model in this index scores 77.4, which puts Llama 4 Maverick Chat above the midpoint.

Meta AI models average 73.2 on this benchmark. Llama 4 Maverick Chat is 10.0 points above that provider line, so it is a stronger result than the average Meta AI model.

Among multimodal models, the average is 82.2. Llama 4 Maverick Chat is 1.0 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 83.2 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 $5.09 per million input tokens, Llama 4 Maverick Chat is above 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
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4
Qwen3-Max Mini Alibaba Cloud 128000 $11.13 76.5
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6
Llama 4 Maverick Chat Meta AI 128000 $5.09 79.7
Llama 4 Scout Chat Meta AI 32768 $4.66 78.0
Command A Cohere 200000 $13.30 79.6

Other benchmarks for Llama 4 Maverick Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.5 169 72th
GPQA Diamond 73.0 199 67th
SWE-bench Verified 66.6 177 71th
MATH-500 84.8 113 81th
AIME 2025 78.9 102 83th
LiveCodeBench 76.3 80 87th
IFEval 87.4 123 80th
TruthfulQA 81.5 142 76th
HellaSwag 88.8 119 80th
MMMU 75.4 155 74th
Arena Elo 1419.9 150 75th

FAQ

What score does Llama 4 Maverick Chat get on HumanEval?

Llama 4 Maverick Chat scores 83.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Llama 4 Maverick Chat rank on HumanEval?

It ranks #157 of 600 models, in the 74th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Llama 4 Maverick Chat good at HumanEval?

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 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 Chat cost?

Llama 4 Maverick Chat costs $5.09 per million input tokens and $23.20 per million output tokens.

Related