Model comparison
Amazon Nova Pro vs GPT-6 Astra
GPT-6 Astra is the stronger model overall, scoring 70.8 to 31.0 on the Noometry Index. Amazon Nova Pro costs 14× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Amazon Nova Pro scores higher in 0 categories and GPT-6 Astra in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 20.0.
- The biggest single-benchmark swing is Humanity's Last Exam: 4.4% for Amazon Nova Pro and 54.8% for GPT-6 Astra.
- Amazon Nova Pro is cheaper at $0.80 / $3.20 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
- GPT-6 Astra accepts more context: 1.05M tokens versus 300K.
Side by side
| Amazon Nova Pro | GPT-6 Astra | |
|---|---|---|
| Provider | Amazon | OpenAI |
| Noometry Index | 31.0 | 70.8 |
| Released | 2024-12-03 | 2026-09-03 |
| Weights | Proprietary | Proprietary |
| Context window | 300K | 1.05M |
| Max output | 10K | 128K |
| Input $ / M tokens | $0.80 | $10 |
| Output $ / M tokens | $3.20 | $50 |
| Results tracked | 38 | 56 |
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Category by category
Coding GPT-6 Astra leads
Amazon Nova Pro: 35.1 (#229), GPT-6 Astra: 73.7 (#2)
| Benchmark | Amazon Nova Pro | GPT-6 Astra |
|---|---|---|
| LMArena Coding | 1270 | 1487 |
| DeepSWE | — | 74.1% |
| FrontierCode | — | 53.3% |
| LMArena WebDev | — | 1786 |
| FrontierSWE | — | 65.5% |
| SciCode | — | 56.5% |
| GSO | — | 79.4% |
| WeirdML | — | 93.6% |
| LiveBench Coding | 38.1% | — |
| MirrorCode | — | 46.7% |
| ALE-Bench | — | 2,951 |
Agentic & Tool Use GPT-6 Astra leads
Amazon Nova Pro: 16.7 (#147), GPT-6 Astra: 52.9 (#3)
| Benchmark | Amazon Nova Pro | GPT-6 Astra |
|---|---|---|
| APEX-Agents | — | 64.7% |
| Berkeley Function Calling Leaderboard | 25% | — |
| Remote Labor Index | — | 20.8% |
| TheAgentCompany | 1.7% | — |
| BALROG | — | 68.3% |
| GDP.pdf | — | 34.2% |
| Vending-Bench 2 | — | 15,515 |
Reasoning GPT-6 Astra leads
Amazon Nova Pro: 20.0 (#243), GPT-6 Astra: 85.1 (#1)
| Benchmark | Amazon Nova Pro | GPT-6 Astra |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1462 |
| Epoch Capabilities Index | 123.8 | 166.45 |
| ARC-AGI-2 | — | 95% |
| NYT Connections (extended) | — | 98.1% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| Chess Puzzles | — | 72% |
| EBR-Bench | — | 76.2% |
| LiveBench Reasoning | 32.6% | — |
| Mystery Game Puzzles | — | 84% |
| DTBench | — | 97.3% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 64.4% |
| Bench to the Future 3 | — | 0.14 |
| LiveBench | 43.5% | — |
Math GPT-6 Astra leads
Amazon Nova Pro: 28.5 (#243), GPT-6 Astra: 93.5 (#2)
| Benchmark | Amazon Nova Pro | GPT-6 Astra |
|---|---|---|
| LMArena Math | 1252 | 1465 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 97.6% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 99% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
| FrontierMath Erdős | — | 2.9% |
Knowledge GPT-6 Astra leads
Amazon Nova Pro: 27.4 (#250), GPT-6 Astra: 75.3 (#1)
| Benchmark | Amazon Nova Pro | GPT-6 Astra |
|---|---|---|
| Humanity's Last Exam | 4.4% | 54.8% |
| Vectara Hallucination Rate | 5.1% | 8.7% |
| LMArena Expert | 1211 | 1483 |
| GPQA Diamond | — | 95.8% |
| SimpleQA Verified | — | 75.6% |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |
Multimodal GPT-6 Astra leads
Amazon Nova Pro: 25.0 (#126), GPT-6 Astra: 55.0 (#3)
| Benchmark | Amazon Nova Pro | GPT-6 Astra |
|---|---|---|
| LMArena Vision | 980 | 1281 |
| Blueprint-Bench 2 | — | 49.7% |
| Furniture Assembly | — | 80% |
| LMArena Document | — | 1468 |
Multilingual GPT-6 Astra leads
Amazon Nova Pro: 39.7 (#223), GPT-6 Astra: 53.7 (#61)
| Benchmark | Amazon Nova Pro | GPT-6 Astra |
|---|---|---|
| LMArena Non-English | 1234 | 1430 |
| LMArena Chinese | 1244 | 1484 |
| LMArena French | 1271 | 1456 |
| LMArena German | 1243 | 1440 |
| LMArena Japanese | 1200 | 1379 |
| LMArena Korean | 1203 | 1426 |
| LMArena Russian | 1240 | 1436 |
| LMArena Spanish | 1182 | 1407 |
Instruction Following GPT-6 Astra leads
Amazon Nova Pro: 64.9 (#226), GPT-6 Astra: 76.3 (#44)
| Benchmark | Amazon Nova Pro | GPT-6 Astra |
|---|---|---|
| LMArena Instruction Following | 1235 | 1450 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |
Long Context GPT-6 Astra leads
Amazon Nova Pro: 38.1 (#205), GPT-6 Astra: 44.5 (#62)
| Benchmark | Amazon Nova Pro | GPT-6 Astra |
|---|---|---|
| LMArena Longer Query | 1255 | 1456 |
Writing & Preference GPT-6 Astra leads
Amazon Nova Pro: 43.9 (#226), GPT-6 Astra: 75.3 (#7)
| Benchmark | Amazon Nova Pro | GPT-6 Astra |
|---|---|---|
| LMArena Text | 1259 | 1441 |
| LMArena Creative Writing | 1212 | 1418 |
| LMArena Multi-Turn | 1246 | 1448 |
| Short-Story Creative Writing | 60.5% | — |
| EQ-Bench Creative Writing | — | 2173 |
| WildBench | 77.7% | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than GPT-6 Astra?
GPT-6 Astra is the stronger model overall, scoring 70.8 to 31.0 on the Noometry Index. Amazon Nova Pro costs 14× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Pro or GPT-6 Astra?
Amazon Nova Pro is cheaper. It lists at $0.80 per million input tokens and $3.20 per million output tokens; GPT-6 Astra lists at $10 and $50.
Is Amazon Nova Pro or GPT-6 Astra better for coding?
GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 35.1 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Astra does, with 1.05M tokens against 300K.
How many benchmarks do Amazon Nova Pro and GPT-6 Astra share?
21 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and GPT-6 Astra has 56.