Mathematics · Lambda

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

Llama 3 Lambda Base scores 76.6 on MATH-500, placing it #289 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
76.6
0–100 scale
Rank
#289
of 600
Percentile
52th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
20.1
points

Score distribution

The chart shows the top 10 models on MATH-500, with Llama 3 Lambda Base 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 Base sits at #289 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 20.1 points. The median model in this index scores 76.0, which puts Llama 3 Lambda Base above the midpoint.

Lambda models average 67.7 on this benchmark. Llama 3 Lambda Base is 8.9 points above that provider line, so it is a stronger result than the average Lambda model.

Among open-weight models, the average is 70.8. Llama 3 Lambda Base is 5.8 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 76.6 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 $3.19 per million input tokens, Llama 3 Lambda Base 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
Mixtral Base Mistral AI 65536 $2.95 71.1
Nemotron 4 Base NVIDIA 8192 $3.29 73.0
Command R+ Chat Cohere 32768 $4.02 76.0
Firefunction Fireworks AI 16384 $8.16 72.3
Llama 3 Lambda Base Lambda 8192 $3.19 72.9
Firefunction Reasoning Fireworks AI 8192 $9.08 72.5
DBRX Databricks 65536 $3.29 73.3

Other benchmarks for Llama 3 Lambda Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.0 242 60th
GPQA Diamond 70.0 262 56th
SWE-bench Verified 59.0 342 43th
HumanEval 75.3 339 44th
AIME 2025 64.6 345 43th
LiveCodeBench 65.7 280 53th
IFEval 82.3 266 56th
TruthfulQA 74.4 344 43th
HellaSwag 85.2 234 61th
MMMU 71.2 266 56th
Arena Elo 1383.4 267 56th

FAQ

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

Llama 3 Lambda Base scores 76.6 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Llama 3 Lambda Base rank on MATH-500?

It ranks #289 of 600 models, in the 52nd percentile. The leader is GPT-5.2 Max at 96.7.

Is Llama 3 Lambda Base 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 Lambda Base cost?

Llama 3 Lambda Base costs $3.19 per million input tokens and $14.51 per million output tokens.

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