Instruction following · Amazon

Nova Pro Pro on IFEval: score, rank and what it means

Nova Pro Pro scores 87.6 on IFEval, placing it #114 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
87.6
0–100 scale
Rank
#114
of 600
Percentile
81th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
8.5
points

Score distribution

The chart shows the top 10 models on IFEval, with Nova Pro Pro highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Nova Pro Pro sits at #114 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 8.5 points. The median model in this index scores 81.2, which puts Nova Pro Pro above the midpoint.

Amazon models average 81.5 on this benchmark. Nova Pro Pro is 6.1 points above that provider line, so it is a stronger result than the average Amazon model.

Among multimodal models, the average is 85.2. Nova Pro Pro is 2.4 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 87.6 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 $13.03 per million input tokens, Nova Pro Pro is above the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
QwQ Instruct Alibaba Cloud 65536 $4.62 79.0
Gemini 2.5 Pro Google DeepMind 200000 $15.20 81.6
MiniMax-Text Instruct MiniMax 128000 $4.59 77.7
Mistral Large 3 Instruct Mistral AI 400000 $5.31 81.1
Nova Pro Pro Amazon 200000 $13.03 79.5
Reka Core Max Reka AI 128000 $13.41 79.3
Kimi K2 Instruct Moonshot AI 1000000 $5.80 82.3

Other benchmarks for Nova Pro Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.0 148 75th
GPQA Diamond 75.1 142 76th
SWE-bench Verified 68.2 143 76th
HumanEval 84.2 130 78th
MATH-500 83.7 135 78th
AIME 2025 79.0 101 83th
LiveCodeBench 72.5 137 77th
TruthfulQA 81.7 134 78th
HellaSwag 87.2 168 72th
MMMU 73.8 198 67th
Arena Elo 1406.0 192 68th

FAQ

What score does Nova Pro Pro get on IFEval?

Nova Pro Pro scores 87.6 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Nova Pro Pro rank on IFEval?

It ranks #114 of 600 models, in the 81st percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Nova Pro Pro good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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 Pro Pro cost?

Nova Pro Pro costs $13.03 per million input tokens and $59.36 per million output tokens.

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