Mathematics · Lambda

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

Llama 3 Lambda Instruct scores 78.6 on MATH-500, placing it #247 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
78.6
0–100 scale
Rank
#247
of 600
Percentile
59th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
18.1
points

Score distribution

The chart shows the top 10 models on MATH-500, with Llama 3 Lambda Instruct 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 Instruct sits at #247 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 18.1 points. The median model in this index scores 76.0, which puts Llama 3 Lambda Instruct above the midpoint.

Lambda models average 67.7 on this benchmark. Llama 3 Lambda Instruct is 10.9 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 Instruct is 2.7 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 78.6 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 $3.92 per million input tokens, Llama 3 Lambda Instruct 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
Sonar Turbo Perplexity 65536 $10.71 75.7
Gemma 3 Chat Google DeepMind 65536 $3.74 74.5
Nova Lite Amazon 65536 $9.20 73.4
Claude Sonnet 4.5 Mini Anthropic 32768 $11.43 76.5
Llama 3 Lambda Instruct Lambda 32768 $3.92 75.8
Nova Lite Reasoning Amazon 32768 $9.92 74.3
Mixtral Mistral AI 65536 $3.48 73.7

Other benchmarks for Llama 3 Lambda Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.8 154 74th
GPQA Diamond 69.1 293 51th
SWE-bench Verified 64.3 226 62th
HumanEval 78.6 274 54th
AIME 2025 74.8 158 74th
LiveCodeBench 70.5 181 70th
IFEval 84.2 211 65th
TruthfulQA 76.0 305 49th
HellaSwag 87.0 178 70th
MMMU 70.0 303 50th
Arena Elo 1382.5 268 55th

FAQ

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

Llama 3 Lambda Instruct scores 78.6 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

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

It ranks #247 of 600 models, in the 59th percentile. The leader is GPT-5.2 Max at 96.7.

Is Llama 3 Lambda Instruct 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 Instruct cost?

Llama 3 Lambda Instruct costs $3.92 per million input tokens and $19.48 per million output tokens.

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