Model comparison
Amazon Nova Pro vs GPT-4o mini
Amazon Nova Pro is the stronger model overall, scoring 31.0 to 25.5 on the Noometry Index. GPT-4o mini costs 5.3× less per token, which makes it the better buy when Amazon Nova Pro's lead doesn't matter for your workload.
Last verified . 34 shared benchmarks.
Summary
- They share 34 benchmarks with published results for both. Amazon Nova Pro scores higher in 6 categories and GPT-4o mini in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Amazon Nova Pro leads 28.5 to 10.4.
- The biggest single-benchmark swing is LiveBench Instruction Following: 67.1% for Amazon Nova Pro and 56.8% for GPT-4o mini.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.80 / $3.20 for Amazon Nova Pro.
- Amazon Nova Pro accepts more context: 300K tokens versus 128K.
Side by side
| Amazon Nova Pro | GPT-4o mini | |
|---|---|---|
| Provider | Amazon | OpenAI |
| Noometry Index | 31.0 | 25.5 |
| Released | 2024-12-03 | 2024-07-18 |
| Weights | Proprietary | Proprietary |
| Context window | 300K | 128K |
| Max output | 10K | 16K |
| Input $ / M tokens | $0.80 | $0.15 |
| Output $ / M tokens | $3.20 | $0.60 |
| Results tracked | 38 | 60 |
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Category by category
Coding Amazon Nova Pro leads
Amazon Nova Pro: 35.1 (#229), GPT-4o mini: 22.0 (#335)
| Benchmark | Amazon Nova Pro | GPT-4o mini |
|---|---|---|
| LiveBench Coding | 38.1% | 43.1% |
| LMArena Coding | 1270 | 1290 |
| Aider Polyglot | — | 3.6% |
| WeirdML | — | 11.8% |
| BigCodeBench Instruct | — | 46.1% |
| BigCodeBench Complete | — | 57.4% |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use GPT-4o mini leads
Amazon Nova Pro: 16.7 (#147), GPT-4o mini: 27.5 (#101)
| Benchmark | Amazon Nova Pro | GPT-4o mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
| BALROG | — | 17.4% |
Reasoning Amazon Nova Pro leads
Amazon Nova Pro: 20.0 (#243), GPT-4o mini: 8.7 (#347)
| Benchmark | Amazon Nova Pro | GPT-4o mini |
|---|---|---|
| LiveBench Reasoning | 32.6% | 32.8% |
| LMArena Hard Prompts | 1246 | 1267 |
| LiveBench Data Analysis | 48.3% | 50% |
| Epoch Capabilities Index | 123.8 | 126.56 |
| LiveBench | 43.5% | 41.3% |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 10.7% |
| Kagi LLM Benchmark | — | 28.8% |
| Chess Puzzles | — | 0% |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 54.4% |
| LMCA | — | 10.4% |
| PIQA | — | 88.7% |
Math Amazon Nova Pro leads
Amazon Nova Pro: 28.5 (#243), GPT-4o mini: 10.4 (#314)
| Benchmark | Amazon Nova Pro | GPT-4o mini |
|---|---|---|
| Omni-MATH | 24.2% | 28% |
| LiveBench Math | 38% | 36.3% |
| LMArena Math | 1252 | 1267 |
| FrontierMath (Tiers 1-3) | — | 0.7% |
| OTIS Mock AIME 2024-2025 | — | 6.9% |
| MATH Level 5 | — | 52.6% |
| GSM8K | — | 91.3% |
Knowledge Amazon Nova Pro leads
Amazon Nova Pro: 27.4 (#250), GPT-4o mini: 17.7 (#284)
| Benchmark | Amazon Nova Pro | GPT-4o mini |
|---|---|---|
| MMLU-Pro | 67.3% | 60.3% |
| Confabulations | 30.1% | 37.2% |
| GPQA (HELM) | 44.6% | 36.8% |
| LMArena Expert | 1211 | 1235 |
| MMLU | 82% | 81.8% |
| GPQA Diamond | — | 37.7% |
| Humanity's Last Exam | 4.4% | — |
| SimpleQA Verified | — | 8.3% |
| Vectara Hallucination Rate | 5.1% | — |
| BoolQ | — | 88.7% |
Multimodal Too close to call
Amazon Nova Pro: 25.0 (#126), GPT-4o mini: 25.9 (#122)
| Benchmark | Amazon Nova Pro | GPT-4o mini |
|---|---|---|
| LMArena Vision | 980 | 1066 |
| Video-MME | — | 64.8% |
| GeoBench | — | 64% |
| VPCT | — | 34% |
Multilingual GPT-4o mini leads
Amazon Nova Pro: 39.7 (#223), GPT-4o mini: 42.0 (#199)
| Benchmark | Amazon Nova Pro | GPT-4o mini |
|---|---|---|
| LMArena Non-English | 1234 | 1266 |
| LMArena Chinese | 1244 | 1265 |
| LMArena French | 1271 | 1297 |
| LMArena German | 1243 | 1272 |
| LMArena Japanese | 1200 | 1216 |
| LMArena Korean | 1203 | 1195 |
| LMArena Russian | 1240 | 1275 |
| LMArena Spanish | 1182 | 1276 |
Instruction Following Amazon Nova Pro leads
Amazon Nova Pro: 64.9 (#226), GPT-4o mini: 61.9 (#239)
| Benchmark | Amazon Nova Pro | GPT-4o mini |
|---|---|---|
| LiveBench Instruction Following | 67.1% | 56.8% |
| IFEval | 81.5% | 78.2% |
| LMArena Instruction Following | 1235 | 1258 |
Long Context GPT-4o mini leads
Amazon Nova Pro: 38.1 (#205), GPT-4o mini: 39.1 (#186)
| Benchmark | Amazon Nova Pro | GPT-4o mini |
|---|---|---|
| LMArena Longer Query | 1255 | 1289 |
Writing & Preference Amazon Nova Pro leads
Amazon Nova Pro: 43.9 (#226), GPT-4o mini: 39.5 (#248)
| Benchmark | Amazon Nova Pro | GPT-4o mini |
|---|---|---|
| LMArena Text | 1259 | 1286 |
| LMArena Creative Writing | 1212 | 1268 |
| Short-Story Creative Writing | 60.5% | 67.2% |
| WildBench | 77.7% | 79.1% |
| LMArena Multi-Turn | 1246 | 1285 |
| LiveBench Language | 37% | 28.6% |
| EQ-Bench Creative Writing | — | 873 |
Frequently asked questions
Is Amazon Nova Pro better than GPT-4o mini?
Amazon Nova Pro is the stronger model overall, scoring 31.0 to 25.5 on the Noometry Index. GPT-4o mini costs 5.3× 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-4o mini?
GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Amazon Nova Pro lists at $0.80 and $3.20.
Is Amazon Nova Pro or GPT-4o mini better for coding?
Amazon Nova Pro scores higher on coding benchmarks: 35.1 versus 22.0 in the Noometry coding category.
Which has the bigger context window?
Amazon Nova Pro does, with 300K tokens against 128K.
How many benchmarks do Amazon Nova Pro and GPT-4o mini share?
34 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and GPT-4o mini has 60.