# Amazon Nova Pro vs GPT-3.5-turbo

> Amazon Nova Pro is the stronger model overall, scoring 30.5 to 23.1 on the Noometry Index. GPT-3.5-turbo costs 1.9× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-gpt-3-5-turbo
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Amazon Nova Pro scores higher in 8 categories and GPT-3.5-turbo in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Amazon Nova Pro leads 26.4 to 6.0.
- GPT-3.5-turbo is cheaper at $0.50 / $1.50 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 16K.

## Snapshot

| | Amazon Nova Pro | GPT-3.5-turbo |
|---|---|---|
| Provider | Amazon | OpenAI |
| Noometry Index | 30.5 | 23.1 |
| Rank | 278 | 345 |
| Context | 300K | 16K |
| Input $/M | $0.80 | $0.50 |
| Output $/M | $3.20 | $1.50 |
| Weights | Proprietary | Proprietary |

## Coding

- Amazon Nova Pro: 34.6 (#224)
- GPT-3.5-turbo: 23.5 (#326)

| Benchmark | Amazon Nova Pro | GPT-3.5-turbo |
|---|---|---|
| LMArena Coding | 1270 | 1137 |
| WeirdML | — | 3.5% |
| BigCodeBench Instruct | — | 39.1% |
| LiveBench Coding | 38.1% | — |
| BigCodeBench Complete | — | 50.6% |
| HumanEval+ | — | 70.7% |
| MBPP+ | — | 69.7% |

## Agentic & Tool Use

- Amazon Nova Pro: 16.6 (#139)
- GPT-3.5-turbo: —

| Benchmark | Amazon Nova Pro | GPT-3.5-turbo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
| METR Time Horizons | — | 21.5% |

## Reasoning

- Amazon Nova Pro: 19.2 (#240)
- GPT-3.5-turbo: 13.3 (#328)

| Benchmark | Amazon Nova Pro | GPT-3.5-turbo |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1108 |
| Epoch Capabilities Index | 123.75 | 118.48 |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 32.6% | — |
| Mystery Game Puzzles | — | 3% |
| DTBench | — | 48.5% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 9.7% |
| Adversarial NLI | — | 58.1% |
| BIG-Bench Hard | — | 61.6% |
| CommonsenseQA 2.0 | — | 57% |
| ForecastBench | — | 50.4 |
| LiveBench | 43.5% | — |
| WinoGrande | — | 81.6% |

## Math

- Amazon Nova Pro: 26.4 (#240)
- GPT-3.5-turbo: 6.0 (#321)

| Benchmark | Amazon Nova Pro | GPT-3.5-turbo |
|---|---|---|
| LMArena Math | 1252 | 1142 |
| FrontierMath (Tiers 1-3) | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 2.2% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
| MATH Level 5 | — | 15.9% |
| GSM8K | — | 57.8% |

## Knowledge

- Amazon Nova Pro: 27.1 (#246)
- GPT-3.5-turbo: 10.0 (#298)

| Benchmark | Amazon Nova Pro | GPT-3.5-turbo |
|---|---|---|
| LMArena Expert | 1211 | 1070 |
| MMLU | 82% | 71.4% |
| GPQA Diamond | — | 28% |
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
| ARC (AI2) Challenge | — | 87.4% |
| BoolQ | — | 87% |
| OpenBookQA | — | 86% |
| TriviaQA | — | 85.8% |

## Multimodal

- Amazon Nova Pro: 24.5 (#121)
- GPT-3.5-turbo: —

| Benchmark | Amazon Nova Pro | GPT-3.5-turbo |
|---|---|---|
| LMArena Vision | 980 | — |

## Multilingual

- Amazon Nova Pro: 39.9 (#218)
- GPT-3.5-turbo: 31.6 (#253)

| Benchmark | Amazon Nova Pro | GPT-3.5-turbo |
|---|---|---|
| LMArena Non-English | 1234 | 1108 |
| LMArena Chinese | 1244 | 1075 |
| LMArena French | 1270 | 1117 |
| LMArena German | 1243 | 1090 |
| LMArena Japanese | 1200 | 1043 |
| LMArena Korean | 1203 | 1019 |
| LMArena Russian | 1240 | 1123 |
| LMArena Spanish | 1182 | 1120 |

## Instruction Following

- Amazon Nova Pro: 65.1 (#221)
- GPT-3.5-turbo: 58.1 (#257)

| Benchmark | Amazon Nova Pro | GPT-3.5-turbo |
|---|---|---|
| LMArena Instruction Following | 1235 | 1119 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#199)
- GPT-3.5-turbo: 34.0 (#249)

| Benchmark | Amazon Nova Pro | GPT-3.5-turbo |
|---|---|---|
| LMArena Longer Query | 1255 | 1121 |

## Writing & Preference

- Amazon Nova Pro: 44.1 (#221)
- GPT-3.5-turbo: 25.4 (#300)

| Benchmark | Amazon Nova Pro | GPT-3.5-turbo |
|---|---|---|
| LMArena Text | 1259 | 1125 |
| LMArena Creative Writing | 1212 | 1092 |
| LMArena Multi-Turn | 1245 | 1117 |
| Short-Story Creative Writing | 60.5% | — |
| EQ-Bench Creative Writing | — | 451 |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |

## FAQ

### Is Amazon Nova Pro better than GPT-3.5-turbo?

Amazon Nova Pro is the stronger model overall, scoring 30.5 to 23.1 on the Noometry Index. GPT-3.5-turbo costs 1.9× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Pro or GPT-3.5-turbo?

GPT-3.5-turbo is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.

### Is Amazon Nova Pro or GPT-3.5-turbo better for coding?

Amazon Nova Pro scores higher on coding benchmarks: 34.6 versus 23.5 in the Noometry coding category.

### Which has the bigger context window?

Amazon Nova Pro does, with 300K tokens against 16K.

### How many benchmarks do Amazon Nova Pro and GPT-3.5-turbo share?

19 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and GPT-3.5-turbo has 44.