Mathematics · Lambda

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

Llama 3 Lambda 7B scores 55.5 on MATH-500, placing it #515 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
55.5
0–100 scale
Rank
#515
of 600
Percentile
14th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
41.2
points

Score distribution

The chart shows the top 10 models on MATH-500, with Llama 3 Lambda 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 Lambda 7B sits at #515 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 41.2 points. The median model in this index scores 76.0, which puts Llama 3 Lambda 7B below the midpoint.

Lambda models average 67.7 on this benchmark. Llama 3 Lambda 7B is 12.2 points below that provider line, so it is a weaker result than the average Lambda model.

Among small open-weight models, the average is 53.7. Llama 3 Lambda 7B is 1.8 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 55.5 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 $0.84 per million input tokens, Llama 3 Lambda 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
Llama 3 Baseten 7B Baseten 32768 $0.87 55.3
Pythia Base EleutherAI 16384 $0.99 55.9
Mistral Small 3 7B Mistral AI 4096 $0.89 55.2
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

Other benchmarks for Llama 3 Lambda 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.4 497 17th
GPQA Diamond 52.4 495 18th
SWE-bench Verified 39.8 525 13th
HumanEval 61.0 489 19th
AIME 2025 42.7 528 12th
LiveCodeBench 43.6 510 15th
IFEval 67.1 502 16th
TruthfulQA 63.9 470 22th
HellaSwag 69.9 534 11th
MMMU 51.1 541 10th
Arena Elo 1228.5 527 12th

FAQ

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

Llama 3 Lambda 7B scores 55.5 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

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

It ranks #515 of 600 models, in the 14th percentile. The leader is GPT-5.2 Max at 96.7.

Is Llama 3 Lambda 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 Lambda 7B cost?

Llama 3 Lambda 7B costs $0.84 per million input tokens and $3.23 per million output tokens.

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