Mathematics · Groq

Llama 3.3 Groq Chat on AIME 2025: score, rank and what it means

Llama 3.3 Groq Chat scores 74.2 on AIME 2025, placing it #172 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
74.2
0–100 scale
Rank
#172
of 600
Percentile
71th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
17.2
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Llama 3.3 Groq Chat highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Llama 3.3 Groq Chat sits at #172 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 17.2 points. The median model in this index scores 67.6, which puts Llama 3.3 Groq Chat above the midpoint.

Groq models average 58.7 on this benchmark. Llama 3.3 Groq Chat is 15.5 points above that provider line, so it is a stronger result than the average Groq model.

Among multimodal models, the average is 73.9. Llama 3.3 Groq Chat is 0.3 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 74.2 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 $4.06 per million input tokens, Llama 3.3 Groq Chat is above the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GLM-4.5 Instruct Zhipu AI 200000 $4.70 78.8
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Hunyuan-Large Tencent 65536 $4.33 78.2
Command A Reasoning Cohere 400000 $13.74 80.2
Llama 3.3 Groq Chat Groq 32768 $4.06 76.8
Llama 4 Scout Meta AI 200000 $4.90 79.3
Magistral Mistral AI 200000 $4.75 79.8

Other benchmarks for Llama 3.3 Groq Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.6 192 68th
GPQA Diamond 73.3 193 68th
SWE-bench Verified 66.9 171 72th
HumanEval 80.2 226 62th
MATH-500 78.2 252 58th
LiveCodeBench 71.3 163 73th
IFEval 83.6 226 62th
TruthfulQA 77.4 270 55th
HellaSwag 87.2 167 72th
MMMU 72.9 223 63th
Arena Elo 1412.7 178 70th

FAQ

What score does Llama 3.3 Groq Chat get on AIME 2025?

Llama 3.3 Groq Chat scores 74.2 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Llama 3.3 Groq Chat rank on AIME 2025?

It ranks #172 of 600 models, in the 71st percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Llama 3.3 Groq Chat good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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 Chat cost?

Llama 3.3 Groq Chat costs $4.06 per million input tokens and $19.98 per million output tokens.

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