Mathematics · Modal

Llama 3 Modal on MATH-500: score, rank and what it means

Llama 3 Modal scores 79.1 on MATH-500, placing it #232 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
79.1
0–100 scale
Rank
#232
of 600
Percentile
61th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
17.6
points

Score distribution

The chart shows the top 10 models on MATH-500, with Llama 3 Modal highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 o4 Reasoning OpenAI 1000000 $19.69 87.5
5 Grok 4 Max xAI 2000000 $19.70 86.6
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
10 Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

What this score means

On MATH-500, Llama 3 Modal sits at #232 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 17.6 points. The median model in this index scores 76.0, which puts Llama 3 Modal above the midpoint.

Modal models average 68.4 on this benchmark. Llama 3 Modal is 10.7 points above that provider line, so it is a stronger result than the average Modal model.

Among multimodal models, the average is 81.3. Llama 3 Modal is 2.2 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 79.1 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 $3.82 per million input tokens, Llama 3 Modal is below the median input price of $4.00 across the 600 models scored on MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Hyperbolic Chat Hyperbolic 200000 $3.64 75.1
Reka Flash Pro Reka AI 200000 $10.82 75.2
Seed-OSS ByteDance 32768 $3.74 75.3
ERNIE 4.0 Reasoning Baidu 65536 $12.20 77.8
Llama 3 Modal Modal 32768 $3.82 74.9
Command R+ Cohere 32768 $3.96 76.3
Llama 3 Modal Chat Modal 65536 $3.55 73.3

Other benchmarks for Llama 3 Modal

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.4 294 51th
GPQA Diamond 71.0 238 60th
SWE-bench Verified 63.6 243 60th
HumanEval 78.8 269 55th
AIME 2025 70.8 240 60th
LiveCodeBench 67.4 240 60th
IFEval 81.4 292 51th
TruthfulQA 79.5 202 66th
HellaSwag 84.1 278 54th
MMMU 71.6 251 58th
Arena Elo 1391.4 244 59th

FAQ

What score does Llama 3 Modal get on MATH-500?

Llama 3 Modal scores 79.1 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Llama 3 Modal rank on MATH-500?

It ranks #232 of 600 models, in the 61st percentile. The leader is GPT-5.2 Max at 96.7.

Is Llama 3 Modal good at MATH-500?

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 MATH-500 score calculated?

MATH-500 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 Modal cost?

Llama 3 Modal costs $3.82 per million input tokens and $17.80 per million output tokens.

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