Mathematics · Modal

Llama 3 Modal 7B on MATH-500: score, rank and what it means

Llama 3 Modal 7B scores 55.3 on MATH-500, placing it #518 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
55.3
0–100 scale
Rank
#518
of 600
Percentile
14th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
41.4
points

Score distribution

The chart shows the top 10 models on MATH-500, with Llama 3 Modal 7B 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 7B sits at #518 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 41.4 points. The median model in this index scores 76.0, which puts Llama 3 Modal 7B below the midpoint.

Modal models average 68.4 on this benchmark. Llama 3 Modal 7B is 13.1 points below that provider line, so it is a weaker result than the average Modal model.

Among small open-weight models, the average is 53.7. Llama 3 Modal 7B is 1.6 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 55.3 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 $0.88 per million input tokens, Llama 3 Modal 7B 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
Phi-4 7B Microsoft 8192 $0.91 56.8
Llama 3 Lambda 7B Lambda 8192 $0.84 55.4
Mistral Small 3 8B Mistral AI 8192 $0.99 57.2
DeepSeek-V3.2 1.5B DeepSeek 4096 $1.02 56.9
Llama 3 Modal 7B Modal 4096 $0.88 55.2
Llama 3 DeepInfra 7B DeepInfra 16384 $0.95 55.6
Llama 3 Hyperbolic 7B Hyperbolic 4096 $0.94 55.6

Other benchmarks for Llama 3 Modal 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 58.5 547 9th
GPQA Diamond 51.2 507 16th
SWE-bench Verified 40.8 513 15th
HumanEval 58.8 514 14th
AIME 2025 44.4 503 16th
LiveCodeBench 45.4 495 18th
IFEval 66.9 504 16th
TruthfulQA 61.5 513 15th
HellaSwag 72.0 498 17th
MMMU 52.1 527 12th
Arena Elo 1241.1 509 15th

FAQ

What score does Llama 3 Modal 7B get on MATH-500?

Llama 3 Modal 7B scores 55.3 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Llama 3 Modal 7B rank on MATH-500?

It ranks #518 of 600 models, in the 14th percentile. The leader is GPT-5.2 Max at 96.7.

Is Llama 3 Modal 7B good at MATH-500?

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 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 7B cost?

Llama 3 Modal 7B costs $0.88 per million input tokens and $3.64 per million output tokens.

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