Instruction following · Amazon

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

Nova Pro Reasoning scores 87.4 on IFEval, placing it #124 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
87.4
0–100 scale
Rank
#124
of 600
Percentile
79th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
8.7
points

Score distribution

The chart shows the top 10 models on IFEval, with Nova Pro Reasoning 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 Reasoning sits at #124 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 8.7 points. The median model in this index scores 81.2, which puts Nova Pro Reasoning above the midpoint.

Amazon models average 81.5 on this benchmark. Nova Pro Reasoning is 5.9 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 Reasoning is 2.2 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 87.4 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 $13.48 per million input tokens, Nova Pro Reasoning 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
Command A Cohere 200000 $13.30 79.6
GLM-4.6 Instruct Zhipu AI 1000000 $5.15 80.4
Llama 4 Maverick Base Meta AI 128000 $4.68 79.1
Llama 4 Maverick Chat Meta AI 128000 $5.09 79.7
Nova Pro Reasoning Amazon 200000 $13.48 79.4
Sonar Pro Perplexity 128000 $13.01 79.1
MiniMax-M2 Instruct MiniMax 128000 $5.11 79.4

Other benchmarks for Nova Pro Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.5 197 67th
GPQA Diamond 73.4 192 68th
SWE-bench Verified 70.1 109 82th
HumanEval 83.4 150 75th
MATH-500 84.2 122 80th
AIME 2025 74.1 179 70th
LiveCodeBench 74.2 104 83th
TruthfulQA 79.9 183 70th
HellaSwag 89.0 112 81th
MMMU 78.6 84 86th
Arena Elo 1415.8 165 73th

FAQ

What score does Nova Pro Reasoning get on IFEval?

Nova Pro Reasoning scores 87.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Nova Pro Reasoning rank on IFEval?

It ranks #124 of 600 models, in the 79th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Nova Pro Reasoning 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 Reasoning cost?

Nova Pro Reasoning costs $13.48 per million input tokens and $65.09 per million output tokens.

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