Mathematics · Amazon

Nova Lite Turbo on MATH-500: score, rank and what it means

Nova Lite Turbo scores 77.6 on MATH-500, placing it #264 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
77.6
0–100 scale
Rank
#264
of 600
Percentile
56th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
19.1
points

Score distribution

The chart shows the top 10 models on MATH-500, with Nova Lite Turbo 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, Nova Lite Turbo sits at #264 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 19.1 points. The median model in this index scores 76.0, which puts Nova Lite Turbo above the midpoint.

Amazon models average 76.8 on this benchmark. Nova Lite Turbo is 0.8 points above that provider line, so it is a stronger result than the average Amazon model.

Among mid-range models, the average is 70.0. Nova Lite Turbo is 7.6 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 77.6 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 $9.14 per million input tokens, Nova Lite Turbo 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
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4
Fusion Turbo OpenRouter 8192 $8.55 71.7
Nemotron 4 NVIDIA 65536 $4.18 76.6
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5
Nova Lite Turbo Amazon 8192 $9.14 73.2
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
QwQ Base Alibaba Cloud 65536 $3.68 74.1

Other benchmarks for Nova Lite Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.9 247 59th
GPQA Diamond 67.8 315 48th
SWE-bench Verified 63.8 237 61th
HumanEval 76.8 312 48th
AIME 2025 68.0 296 51th
LiveCodeBench 65.7 282 53th
IFEval 79.3 344 43th
TruthfulQA 76.1 304 49th
HellaSwag 85.0 248 59th
MMMU 67.6 352 41th
Arena Elo 1383.7 266 56th

FAQ

What score does Nova Lite Turbo get on MATH-500?

Nova Lite Turbo scores 77.6 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Nova Lite Turbo rank on MATH-500?

It ranks #264 of 600 models, in the 56th percentile. The leader is GPT-5.2 Max at 96.7.

Is Nova Lite Turbo 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 Nova Lite Turbo cost?

Nova Lite Turbo costs $9.14 per million input tokens and $42.63 per million output tokens.

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