Mathematics · Lambda

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

Llama 3 Lambda scores 79.8 on MATH-500, placing it #214 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
79.8
0–100 scale
Rank
#214
of 600
Percentile
64th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
16.9
points

Score distribution

The chart shows the top 10 models on MATH-500, with Llama 3 Lambda 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 sits at #214 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 16.9 points. The median model in this index scores 76.0, which puts Llama 3 Lambda above the midpoint.

Lambda models average 67.7 on this benchmark. Llama 3 Lambda is 12.1 points above that provider line, so it is a stronger result than the average Lambda model.

Among multimodal models, the average is 81.3. Llama 3 Lambda is 1.5 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 79.8 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 $3.90 per million input tokens, Llama 3 Lambda 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
GPT-5.1 Mini OpenAI 128000 $12.19 77.7
Kimi K1.5 Base Moonshot AI 65536 $4.34 77.4
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Llama 3 Replicate Instruct Replicate 128000 $3.71 75.1
Llama 3 Lambda Lambda 65536 $3.90 75.6
Llama 3.1 Turbo Together AI 200000 $4.17 76.8
Nova Lite Max Amazon 200000 $9.79 73.4

Other benchmarks for Llama 3 Lambda

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.6 225 63th
GPQA Diamond 71.7 227 62th
SWE-bench Verified 62.8 258 57th
HumanEval 81.4 202 66th
AIME 2025 69.9 258 57th
LiveCodeBench 70.1 190 68th
IFEval 81.6 284 53th
TruthfulQA 78.3 245 59th
HellaSwag 83.7 292 51th
MMMU 74.1 186 69th
Arena Elo 1390.8 247 59th

FAQ

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

Llama 3 Lambda scores 79.8 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Llama 3 Lambda rank on MATH-500?

It ranks #214 of 600 models, in the 64th percentile. The leader is GPT-5.2 Max at 96.7.

Is Llama 3 Lambda 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 cost?

Llama 3 Lambda costs $3.90 per million input tokens and $15.06 per million output tokens.

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