Model comparison
Amazon Nova Pro vs GPT-5-Codex
GPT-5-Codex is the stronger model overall, scoring 37.9 to 31.0 on the Noometry Index. Amazon Nova Pro costs 2.5× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in agentic & tool use, where GPT-5-Codex leads 31.0 to 16.7.
- Amazon Nova Pro is cheaper at $0.80 / $3.20 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 300K.
Side by side
| Amazon Nova Pro | GPT-5-Codex | |
|---|---|---|
| Provider | Amazon | OpenAI |
| Noometry Index | 31.0 | 37.9 |
| Released | 2024-12-03 | 2025-09-15 |
| Weights | Proprietary | Proprietary |
| Context window | 300K | 400K |
| Max output | 10K | 128K |
| Input $ / M tokens | $0.80 | $1.25 |
| Output $ / M tokens | $3.20 | $10 |
| Results tracked | 38 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5-Codex leads
Amazon Nova Pro: 35.1 (#229), GPT-5-Codex: 42.4 (#103)
| Benchmark | Amazon Nova Pro | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| LiveBench Coding | 38.1% | — |
| LMArena Coding | 1270 | — |
Agentic & Tool Use GPT-5-Codex leads
Amazon Nova Pro: 16.7 (#147), GPT-5-Codex: 31.0 (#72)
| Benchmark | Amazon Nova Pro | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
Reasoning GPT-5-Codex leads
Amazon Nova Pro: 20.0 (#243), GPT-5-Codex: 30.9 (#83)
| Benchmark | Amazon Nova Pro | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| LiveBench Reasoning | 32.6% | — |
| LMArena Hard Prompts | 1246 | — |
| LiveBench Data Analysis | 48.3% | — |
| Epoch Capabilities Index | 123.8 | — |
| LiveBench | 43.5% | — |
Math Not comparable
Amazon Nova Pro: 28.5 (#243), GPT-5-Codex: —
| Benchmark | Amazon Nova Pro | GPT-5-Codex |
|---|---|---|
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
| LMArena Math | 1252 | — |
Knowledge Not comparable
Amazon Nova Pro: 27.4 (#250), GPT-5-Codex: —
| Benchmark | Amazon Nova Pro | GPT-5-Codex |
|---|---|---|
| Humanity's Last Exam | 4.4% | — |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
| LMArena Expert | 1211 | — |
| MMLU | 82% | — |
Multimodal Not comparable
Amazon Nova Pro: 25.0 (#126), GPT-5-Codex: —
| Benchmark | Amazon Nova Pro | GPT-5-Codex |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual Not comparable
Amazon Nova Pro: 39.7 (#223), GPT-5-Codex: —
| Benchmark | Amazon Nova Pro | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1234 | — |
| LMArena Chinese | 1244 | — |
| LMArena French | 1271 | — |
| LMArena German | 1243 | — |
| LMArena Japanese | 1200 | — |
| LMArena Korean | 1203 | — |
| LMArena Russian | 1240 | — |
| LMArena Spanish | 1182 | — |
Instruction Following Not comparable
Amazon Nova Pro: 64.9 (#226), GPT-5-Codex: —
| Benchmark | Amazon Nova Pro | GPT-5-Codex |
|---|---|---|
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |
| LMArena Instruction Following | 1235 | — |
Long Context Not comparable
Amazon Nova Pro: 38.1 (#205), GPT-5-Codex: —
| Benchmark | Amazon Nova Pro | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1255 | — |
Writing & Preference Not comparable
Amazon Nova Pro: 43.9 (#226), GPT-5-Codex: —
| Benchmark | Amazon Nova Pro | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1259 | — |
| LMArena Creative Writing | 1212 | — |
| Short-Story Creative Writing | 60.5% | — |
| WildBench | 77.7% | — |
| LMArena Multi-Turn | 1246 | — |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than GPT-5-Codex?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 31.0 on the Noometry Index. Amazon Nova Pro costs 2.5× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Pro or GPT-5-Codex?
Amazon Nova Pro is cheaper. It lists at $0.80 per million input tokens and $3.20 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is Amazon Nova Pro or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 35.1 in the Noometry coding category.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 300K.
How many benchmarks do Amazon Nova Pro and GPT-5-Codex share?
0 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and GPT-5-Codex has 3.