Instruction following · Groq

Llama 3.3 Groq 8B on IFEval: score, rank and what it means

Llama 3.3 Groq 8B scores 70.4 on IFEval, placing it #453 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
70.4
0–100 scale
Rank
#453
of 600
Percentile
25th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
25.7
points

Score distribution

The chart shows the top 10 models on IFEval, with Llama 3.3 Groq 8B 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 8B sits at #453 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 25.7 points. The median model in this index scores 81.2, which puts Llama 3.3 Groq 8B below the midpoint.

Groq models average 74.3 on this benchmark. Llama 3.3 Groq 8B is 3.9 points below that provider line, so it is a weaker result than the average Groq model.

Among small open-weight models, the average is 64.9. Llama 3.3 Groq 8B is 5.5 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 70.4 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 $1.17 per million input tokens, Llama 3.3 Groq 8B 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 4 Scout 7B Meta AI 32768 $1.30 60.0
Magistral 8B Mistral AI 4096 $1.33 60.0
Codestral 8B Mistral AI 4096 $1.18 59.0
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5
Pythia EleutherAI 32768 $1.29 59.8
Zephyr Hugging Face 8192 $1.61 62.8

Other benchmarks for Llama 3.3 Groq 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.6 493 18th
GPQA Diamond 57.3 435 28th
SWE-bench Verified 46.9 447 26th
HumanEval 61.6 473 21th
MATH-500 60.1 462 23th
AIME 2025 50.6 455 24th
LiveCodeBench 47.7 469 22th
TruthfulQA 64.7 462 23th
HellaSwag 75.3 437 27th
MMMU 57.3 466 22th
Arena Elo 1277.4 449 25th

FAQ

What score does Llama 3.3 Groq 8B get on IFEval?

Llama 3.3 Groq 8B scores 70.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Llama 3.3 Groq 8B rank on IFEval?

It ranks #453 of 600 models, in the 25th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Llama 3.3 Groq 8B 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 8B cost?

Llama 3.3 Groq 8B costs $1.17 per million input tokens and $6.16 per million output tokens.

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