Coding · Meta AI

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

Llama 4 Scout Chat scores 83.2 on HumanEval, placing it #158 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
#158
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 Scout 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 Scout Chat sits at #158 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 Scout Chat above the midpoint.

Meta AI models average 73.2 on this benchmark. Llama 4 Scout 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 Scout 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 $4.66 per million input tokens, Llama 4 Scout 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
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
Sonar Pro Pro Perplexity 200000 $13.59 79.7

Other benchmarks for Llama 4 Scout Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.2 204 66th
GPQA Diamond 77.1 104 83th
SWE-bench Verified 65.3 208 65th
MATH-500 80.3 204 66th
AIME 2025 76.8 132 78th
LiveCodeBench 68.3 222 63th
IFEval 85.4 177 71th
TruthfulQA 78.7 229 62th
HellaSwag 87.5 159 74th
MMMU 76.4 128 79th
Arena Elo 1407.5 188 69th

FAQ

What score does Llama 4 Scout Chat get on HumanEval?

Llama 4 Scout 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 Scout Chat rank on HumanEval?

It ranks #158 of 600 models, in the 74th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Llama 4 Scout 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 Scout Chat cost?

Llama 4 Scout Chat costs $4.66 per million input tokens and $18.41 per million output tokens.

Related