Instruction following · Anyscale

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

Llama 3 Anyscale scores 84.9 on IFEval, placing it #195 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
84.9
0–100 scale
Rank
#195
of 600
Percentile
68th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
11.2
points

Score distribution

The chart shows the top 10 models on IFEval, with Llama 3 Anyscale highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Llama 3 Anyscale sits at #195 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 11.2 points. The median model in this index scores 81.2, which puts Llama 3 Anyscale above the midpoint.

Anyscale models average 76.1 on this benchmark. Llama 3 Anyscale is 8.8 points above that provider line, so it is a stronger result than the average Anyscale model.

Among multimodal models, the average is 85.2. Llama 3 Anyscale is 0.3 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 84.9 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 $3.94 per million input tokens, Llama 3 Anyscale is below the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.3 Chat Meta AI 32768 $4.18 76.9
Llama 3.3 Groq Groq 32768 $3.98 76.8
Qwen3-Coder Chat Alibaba Cloud 128000 $4.59 78.4
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Llama 3 Anyscale Anyscale 65536 $3.94 74.7
Sonar Pro Turbo Perplexity 128000 $13.55 79.0
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7

Other benchmarks for Llama 3 Anyscale

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 257 57th
GPQA Diamond 70.6 245 59th
SWE-bench Verified 63.0 252 58th
HumanEval 79.8 238 60th
MATH-500 78.8 241 60th
AIME 2025 68.7 284 53th
LiveCodeBench 64.7 301 50th
TruthfulQA 77.3 272 55th
HellaSwag 85.9 218 64th
MMMU 70.8 278 54th
Arena Elo 1397.8 213 65th

FAQ

What score does Llama 3 Anyscale get on IFEval?

Llama 3 Anyscale scores 84.9 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Llama 3 Anyscale rank on IFEval?

It ranks #195 of 600 models, in the 68th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Llama 3 Anyscale good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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 cost?

Llama 3 Anyscale costs $3.94 per million input tokens and $19.76 per million output tokens.

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