Instruction following · Replicate

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

Llama 3 Replicate Base scores 81.3 on IFEval, placing it #295 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
81.3
0–100 scale
Rank
#295
of 600
Percentile
51th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
14.8
points

Score distribution

The chart shows the top 10 models on IFEval, with Llama 3 Replicate Base 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 Replicate Base sits at #295 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 14.8 points. The median model in this index scores 81.2, which puts Llama 3 Replicate Base above the midpoint.

Replicate models average 74.9 on this benchmark. Llama 3 Replicate Base is 6.4 points above that provider line, so it is a stronger result than the average Replicate model.

Among open-weight models, the average is 77.0. Llama 3 Replicate Base is 4.3 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 81.3 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 $3.15 per million input tokens, Llama 3 Replicate Base 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 DeepInfra Chat DeepInfra 200000 $3.74 75.0
Llama 3 Modal Modal 32768 $3.82 74.9
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Nemotron 4 Base NVIDIA 8192 $3.29 73.0
Llama 3 Replicate Base Replicate 65536 $3.15 72.1
Llama 3 Hyperbolic Chat Hyperbolic 200000 $3.64 75.1
Llama 3 Modal Chat Modal 65536 $3.55 73.3

Other benchmarks for Llama 3 Replicate Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.9 368 39th
GPQA Diamond 66.4 339 44th
SWE-bench Verified 62.2 274 54th
HumanEval 74.0 358 40th
MATH-500 75.7 310 48th
AIME 2025 69.9 259 57th
LiveCodeBench 66.8 256 57th
TruthfulQA 76.0 306 49th
HellaSwag 82.0 347 42th
MMMU 66.0 373 38th
Arena Elo 1376.7 285 53th

FAQ

What score does Llama 3 Replicate Base get on IFEval?

Llama 3 Replicate Base scores 81.3 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Llama 3 Replicate Base rank on IFEval?

It ranks #295 of 600 models, in the 51st percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Llama 3 Replicate Base 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 Replicate Base cost?

Llama 3 Replicate Base costs $3.15 per million input tokens and $16.13 per million output tokens.

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