Coding · Anyscale

Llama 3 Anyscale Chat on HumanEval: score, rank and what it means

Llama 3 Anyscale Chat scores 79.5 on HumanEval, placing it #247 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
79.5
0–100 scale
Rank
#247
of 600
Percentile
59th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
17.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Llama 3 Anyscale 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 3 Anyscale Chat sits at #247 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 17.3 points. The median model in this index scores 77.4, which puts Llama 3 Anyscale Chat above the midpoint.

Anyscale models average 68.7 on this benchmark. Llama 3 Anyscale Chat is 10.8 points above that provider line, so it is a stronger result than the average Anyscale model.

Among multimodal models, the average is 82.2. Llama 3 Anyscale Chat is 2.7 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 79.5 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 $3.67 per million input tokens, Llama 3 Anyscale Chat 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
Mistral Small 3 Instruct Mistral AI 32768 $3.97 75.1
Hunyuan-Large Base Tencent 200000 $3.64 74.0
Llama 3 Replicate Chat Replicate 200000 $3.74 74.7
Llama 3.3 Groq Instruct Groq 65536 $4.08 76.7
Llama 3 Anyscale Chat Anyscale 65536 $3.67 74.6
Llama 3 Modal Instruct Modal 128000 $3.84 75.2
Yi-Large Chat 01.AI 65536 $3.49 73.5

Other benchmarks for Llama 3 Anyscale Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 258 57th
GPQA Diamond 68.8 302 50th
SWE-bench Verified 61.8 283 53th
MATH-500 76.0 299 50th
AIME 2025 72.9 205 66th
LiveCodeBench 66.3 268 55th
IFEval 84.2 210 65th
TruthfulQA 75.9 308 49th
HellaSwag 85.1 238 60th
MMMU 72.6 230 62th
Arena Elo 1373.6 302 50th

FAQ

What score does Llama 3 Anyscale Chat get on HumanEval?

Llama 3 Anyscale Chat scores 79.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Llama 3 Anyscale Chat rank on HumanEval?

It ranks #247 of 600 models, in the 59th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Llama 3 Anyscale 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 3 Anyscale Chat cost?

Llama 3 Anyscale Chat costs $3.67 per million input tokens and $14.56 per million output tokens.

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