# Amazon Nova Pro vs GPT-5

> GPT-5 is the stronger model overall, scoring 50.9 to 30.5 on the Noometry Index. Amazon Nova Pro costs 2.5× less per token, which makes it the better buy when GPT-5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-pro-vs-gpt-5
- Last updated: 2026-10-10
- Shared benchmarks: 28

## Summary

- They share 28 benchmarks with published results for both. Amazon Nova Pro scores higher in 0 categories and GPT-5 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in long context, where GPT-5 leads 69.5 to 38.1.
- The biggest single-benchmark swing is Omni-MATH: 24.2% for Amazon Nova Pro and 64.7% for GPT-5.
- Amazon Nova Pro is cheaper at $0.80 / $3.20 per million input/output tokens, against $1.25 / $10 for GPT-5.
- GPT-5 accepts more context: 400K tokens versus 300K.

## Snapshot

| | Amazon Nova Pro | GPT-5 |
|---|---|---|
| Provider | Amazon | OpenAI |
| Noometry Index | 30.5 | 50.9 |
| Rank | 278 | 37 |
| Context | 300K | 400K |
| Input $/M | $0.80 | $1.25 |
| Output $/M | $3.20 | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Amazon Nova Pro: 34.6 (#224)
- GPT-5: 50.7 (#39)

| Benchmark | Amazon Nova Pro | GPT-5 |
|---|---|---|
| LMArena Coding | 1270 | 1436 |
| SWE-bench Verified | — | 73.6% |
| SWE-bench Verified (bash only) | — | 65% |
| Aider Polyglot | — | 88% |
| LMArena WebDev | — | 1417 |
| SciCode | — | 42.9% |
| GSO | — | 6.9% |
| WeirdML | — | 60.7% |
| LiveBench Coding | 38.1% | — |
| ALE-Bench | — | 1,162 |
| AlgoTune | — | 1.67 |

## Agentic & Tool Use

- Amazon Nova Pro: 16.6 (#139)
- GPT-5: 33.0 (#53)

| Benchmark | Amazon Nova Pro | GPT-5 |
|---|---|---|
| Terminal-Bench | — | 49.6% |
| Berkeley Function Calling Leaderboard | 25% | — |
| GDPval | — | 34.8% |
| Remote Labor Index | — | 1.7% |
| TheAgentCompany | 1.7% | — |
| DeepResearch Bench | — | 49.6% |
| BALROG | — | 32.8% |
| LMArena Search | — | 1133 |
| METR Time Horizons | — | 69.6% |

## Reasoning

- Amazon Nova Pro: 19.2 (#240)
- GPT-5: 38.3 (#55)

| Benchmark | Amazon Nova Pro | GPT-5 |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1415 |
| Epoch Capabilities Index | 123.75 | 150 |
| ARC-AGI-2 | — | 9.9% |
| SimpleBench | — | 56.7% |
| Kagi LLM Benchmark | — | 72.7% |
| ARC-AGI-1 | — | 65.7% |
| CritPt | — | 12.6% |
| Chess Puzzles | — | 37% |
| EnigmaEval | — | 10.5% |
| EBR-Bench | — | 12.7% |
| LiveBench Reasoning | 32.6% | — |
| Mystery Game Puzzles | — | 23% |
| DTBench | — | 90.7% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 40% |
| ForecastBench | — | 61.4 |
| LiveBench | 43.5% | — |

## Math

- Amazon Nova Pro: 26.4 (#240)
- GPT-5: 54.6 (#36)

| Benchmark | Amazon Nova Pro | GPT-5 |
|---|---|---|
| Omni-MATH | 24.2% | 64.7% |
| LMArena Math | 1252 | 1406 |
| FrontierMath (Tiers 1-3) | — | 55.4% |
| FrontierMath Tier 4 | — | 22% |
| OTIS Mock AIME 2024-2025 | — | 91.4% |
| ProofBench | — | 18% |
| LiveBench Math | 38% | — |
| MATH Level 5 | — | 98.1% |
| FrontierMath (Feb 2025 set) | — | 32.4% |
| FrontierMath Tier 4 (v1) | — | 12.5% |

## Knowledge

- Amazon Nova Pro: 27.1 (#246)
- GPT-5: 56.5 (#37)

| Benchmark | Amazon Nova Pro | GPT-5 |
|---|---|---|
| Humanity's Last Exam | 4.4% | 25.3% |
| MMLU-Pro | 67.3% | 86.3% |
| Confabulations | 30.1% | 10.3% |
| Vectara Hallucination Rate | 5.1% | 14.7% |
| GPQA (HELM) | 44.6% | 79.2% |
| LMArena Expert | 1211 | 1420 |
| GPQA Diamond | — | 86.2% |
| SimpleQA Verified | — | 50.1% |
| MMLU | 82% | — |

## Multimodal

- Amazon Nova Pro: 24.5 (#121)
- GPT-5: 46.1 (#12)

| Benchmark | Amazon Nova Pro | GPT-5 |
|---|---|---|
| LMArena Vision | 980 | 1232 |
| GeoBench | — | 81% |
| VPCT | — | 66% |

## Multilingual

- Amazon Nova Pro: 39.9 (#218)
- GPT-5: 51.5 (#105)

| Benchmark | Amazon Nova Pro | GPT-5 |
|---|---|---|
| LMArena Non-English | 1234 | 1397 |
| LMArena Chinese | 1244 | 1423 |
| LMArena French | 1270 | 1409 |
| LMArena German | 1243 | 1415 |
| LMArena Japanese | 1200 | 1411 |
| LMArena Korean | 1203 | 1361 |
| LMArena Russian | 1240 | 1406 |
| LMArena Spanish | 1182 | 1398 |

## Instruction Following

- Amazon Nova Pro: 65.1 (#221)
- GPT-5: 74.0 (#107)

| Benchmark | Amazon Nova Pro | GPT-5 |
|---|---|---|
| IFEval | 81.5% | 87.5% |
| LMArena Instruction Following | 1235 | 1388 |
| LiveBench Instruction Following | 67.1% | — |

## Long Context

- Amazon Nova Pro: 38.1 (#199)
- GPT-5: 69.5 (#2)

| Benchmark | Amazon Nova Pro | GPT-5 |
|---|---|---|
| LMArena Longer Query | 1255 | 1399 |
| Fiction.LiveBench | — | 97.2% |

## Writing & Preference

- Amazon Nova Pro: 44.1 (#221)
- GPT-5: 63.5 (#63)

| Benchmark | Amazon Nova Pro | GPT-5 |
|---|---|---|
| LMArena Text | 1259 | 1406 |
| LMArena Creative Writing | 1212 | 1365 |
| Short-Story Creative Writing | 60.5% | 86% |
| WildBench | 77.7% | 85.7% |
| LMArena Multi-Turn | 1245 | 1426 |
| EQ-Bench Creative Writing | — | 1627 |
| LiveBench Language | 37% | — |

## FAQ

### Is Amazon Nova Pro better than GPT-5?

GPT-5 is the stronger model overall, scoring 50.9 to 30.5 on the Noometry Index. Amazon Nova Pro costs 2.5× less per token, which makes it the better buy when GPT-5's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Pro or GPT-5?

Amazon Nova Pro is cheaper. It lists at $0.80 per million input tokens and $3.20 per million output tokens; GPT-5 lists at $1.25 and $10.

### Is Amazon Nova Pro or GPT-5 better for coding?

GPT-5 scores higher on coding benchmarks: 50.7 versus 34.6 in the Noometry coding category.

### Which has the bigger context window?

GPT-5 does, with 400K tokens against 300K.

### How many benchmarks do Amazon Nova Pro and GPT-5 share?

28 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and GPT-5 has 69.