Instruction following · Groq

Llama 3.3 Groq Base on IFEval: score, rank and what it means

Llama 3.3 Groq Base scores 81.0 on IFEval, placing it #310 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
81.0
0–100 scale
Rank
#310
of 600
Percentile
48th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
15.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Llama 3.3 Groq 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 3.3 Groq Base sits at #310 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 15.1 points. The median model in this index scores 81.2, which puts Llama 3.3 Groq Base below the midpoint.

Groq models average 74.3 on this benchmark. Llama 3.3 Groq Base is 6.7 points above that provider line, so it is a stronger result than the average Groq model.

Among open-weight models, the average is 77.0. Llama 3.3 Groq Base is 4.0 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 81.0 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 $3.24 per million input tokens, Llama 3.3 Groq 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
Firefunction Reasoning Fireworks AI 8192 $9.08 72.5
Fusion OpenRouter 16384 $8.41 71.1
Gemma 3 Instruct Google DeepMind 128000 $3.72 74.1
Reka Flash Reka AI 128000 $9.95 74.1
Llama 3.3 Groq Base Groq 16384 $3.24 73.5
Hunyuan-Large Base Tencent 200000 $3.64 74.0
Nova Lite Amazon 65536 $9.20 73.4

Other benchmarks for Llama 3.3 Groq Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.3 324 46th
GPQA Diamond 65.6 351 42th
SWE-bench Verified 61.0 298 50th
HumanEval 79.3 257 57th
MATH-500 77.3 271 55th
AIME 2025 71.0 235 61th
LiveCodeBench 66.8 257 57th
TruthfulQA 75.9 310 48th
HellaSwag 85.2 235 61th
MMMU 69.8 311 48th
Arena Elo 1375.9 288 52th

FAQ

What score does Llama 3.3 Groq Base get on IFEval?

Llama 3.3 Groq Base scores 81.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Llama 3.3 Groq Base rank on IFEval?

It ranks #310 of 600 models, in the 48th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Llama 3.3 Groq Base good at IFEval?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 3.3 Groq Base cost?

Llama 3.3 Groq Base costs $3.24 per million input tokens and $12.28 per million output tokens.

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