Mathematics · Anthropic

Claude Opus 4.5 Nano on MATH-500: score, rank and what it means

Claude Opus 4.5 Nano scores 77.2 on MATH-500, placing it #272 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
77.2
0–100 scale
Rank
#272
of 600
Percentile
55th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
19.5
points

Score distribution

The chart shows the top 10 models on MATH-500, with Claude Opus 4.5 Nano 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, Claude Opus 4.5 Nano sits at #272 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 19.5 points. The median model in this index scores 76.0, which puts Claude Opus 4.5 Nano above the midpoint.

Anthropic models average 85.3 on this benchmark. Claude Opus 4.5 Nano is 8.1 points below that provider line, so it is a weaker result than the average Anthropic model.

Among multimodal models, the average is 81.3. Claude Opus 4.5 Nano is 4.1 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 77.2 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 $9.38 per million input tokens, Claude Opus 4.5 Nano is above 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
Firefunction Max Fireworks AI 32768 $9.12 73.2
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0
Llama 3.3 Groq Base Groq 16384 $3.24 73.5
Claude Opus 4.5 Nano Anthropic 32768 $9.38 73.3
Llama 3 Baseten Chat Baseten 200000 $3.55 73.2
Mistral Small 3 Mistral AI 32768 $3.90 75.3

Other benchmarks for Claude Opus 4.5 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.1 300 50th
GPQA Diamond 69.4 281 53th
SWE-bench Verified 62.2 273 55th
HumanEval 75.5 334 44th
AIME 2025 71.4 229 62th
LiveCodeBench 65.0 293 51th
IFEval 79.7 337 44th
TruthfulQA 78.1 252 58th
HellaSwag 82.1 344 43th
MMMU 69.2 322 46th
Arena Elo 1373.3 305 49th

FAQ

What score does Claude Opus 4.5 Nano get on MATH-500?

Claude Opus 4.5 Nano scores 77.2 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Claude Opus 4.5 Nano rank on MATH-500?

It ranks #272 of 600 models, in the 55th percentile. The leader is GPT-5.2 Max at 96.7.

Is Claude Opus 4.5 Nano 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 Claude Opus 4.5 Nano cost?

Claude Opus 4.5 Nano costs $9.38 per million input tokens and $36.06 per million output tokens.

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