Instruction following · Amazon

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

Nova Pro Turbo scores 88.1 on IFEval, placing it #100 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
88.1
0–100 scale
Rank
#100
of 600
Percentile
83th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
8.0
points

Score distribution

The chart shows the top 10 models on IFEval, with Nova Pro Turbo 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 Turbo sits at #100 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 8.0 points. The median model in this index scores 81.2, which puts Nova Pro Turbo above the midpoint.

Amazon models average 81.5 on this benchmark. Nova Pro Turbo is 6.6 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 Turbo is 2.9 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 88.1 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 $13.18 per million input tokens, Nova Pro Turbo 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 Max Perplexity 128000 $14.01 81.1
DeepSeek-R1 Base DeepSeek 400000 $5.05 80.1
GPT-4.1 Turbo OpenAI 1000000 $16.12 82.9
Kimi K1.5 Chat Moonshot AI 128000 $5.11 80.2
Nova Pro Turbo Amazon 128000 $13.18 78.4
Kimi K2 Chat Moonshot AI 400000 $5.74 82.1
MiniMax-M2 Chat MiniMax 200000 $5.02 80.2

Other benchmarks for Nova Pro Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.8 128 79th
GPQA Diamond 72.4 212 65th
SWE-bench Verified 66.2 190 68th
HumanEval 82.5 176 71th
MATH-500 81.1 190 68th
AIME 2025 75.5 148 75th
LiveCodeBench 70.9 173 71th
TruthfulQA 83.5 94 84th
HellaSwag 86.1 215 64th
MMMU 74.4 175 71th
Arena Elo 1433.2 113 81th

FAQ

What score does Nova Pro Turbo get on IFEval?

Nova Pro Turbo scores 88.1 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Nova Pro Turbo rank on IFEval?

It ranks #100 of 600 models, in the 83rd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Nova Pro Turbo 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 Turbo cost?

Nova Pro Turbo costs $13.18 per million input tokens and $51.70 per million output tokens.

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