Instruction following · Amazon

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

Nova Pro scores 87.8 on IFEval, placing it #109 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
87.8
0–100 scale
Rank
#109
of 600
Percentile
82th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
8.3
points

Score distribution

The chart shows the top 10 models on IFEval, with Nova 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 sits at #109 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 8.3 points. The median model in this index scores 81.2, which puts Nova Pro above the midpoint.

Amazon models average 81.5 on this benchmark. Nova Pro is 6.3 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 is 2.6 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 87.8 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 $12.75 per million input tokens, Nova 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
Sonar Pro Pro Perplexity 200000 $13.59 79.7
Command A Reasoning Cohere 400000 $13.74 80.2
Doubao 1.5 Pro Pro ByteDance 128000 $14.10 80.2
GLM-4.6 Chat Zhipu AI 400000 $4.89 79.8
Nova Pro Amazon 32768 $12.75 79.4
QwQ Instruct Alibaba Cloud 65536 $4.62 79.0
Gemini 2.5 Pro Google DeepMind 200000 $15.20 81.6

Other benchmarks for Nova Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.1 181 70th
GPQA Diamond 73.9 172 71th
SWE-bench Verified 65.6 203 66th
HumanEval 83.8 140 77th
MATH-500 80.6 199 67th
AIME 2025 78.9 103 83th
LiveCodeBench 73.5 120 80th
TruthfulQA 83.3 102 83th
HellaSwag 87.6 158 74th
MMMU 77.8 100 83th
Arena Elo 1425.3 128 79th

FAQ

What score does Nova Pro get on IFEval?

Nova Pro scores 87.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Nova Pro rank on IFEval?

It ranks #109 of 600 models, in the 82nd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Nova 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 cost?

Nova Pro costs $12.75 per million input tokens and $56.71 per million output tokens.

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