Model comparison
Amazon Nova Pro vs GLM-5.2
GLM-5.2 is the stronger model overall, scoring 51.1 to 31.0 on the Noometry Index. Amazon Nova Pro costs 1.5× less per token, which makes it the better buy when GLM-5.2's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Amazon Nova Pro scores higher in 0 categories and GLM-5.2 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.2 leads 57.1 to 27.4.
- Amazon Nova Pro is cheaper at $0.80 / $3.20 per million input/output tokens, against $1.40 / $4.40 for GLM-5.2.
- GLM-5.2 accepts more context: 1M tokens versus 300K.
- GLM-5.2 has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Pro | GLM-5.2 | |
|---|---|---|
| Provider | Amazon | Z.ai (Zhipu) |
| Noometry Index | 31.0 | 51.1 |
| Released | 2024-12-03 | 2026-06-13 |
| Weights | Proprietary | Open |
| Context window | 300K | 1M |
| Max output | 10K | 131K |
| Input $ / M tokens | $0.80 | $1.40 |
| Output $ / M tokens | $3.20 | $4.40 |
| Results tracked | 38 | 51 |
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Category by category
Coding GLM-5.2 leads
Amazon Nova Pro: 35.1 (#229), GLM-5.2: 51.3 (#41)
| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Coding | 1270 | 1485 |
| SWE-bench Verified | — | 78.7% |
| DeepSWE | — | 43.8% |
| FrontierCode | — | 24.5% |
| LMArena WebDev | — | 1603 |
| SciCode | — | 50.5% |
| WeirdML | — | 70.1% |
| LiveBench Coding | 38.1% | — |
| ALE-Bench | — | 1,047 |
Agentic & Tool Use GLM-5.2 leads
Amazon Nova Pro: 16.7 (#147), GLM-5.2: 32.4 (#63)
| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| APEX-Agents | — | 45.2% |
| Berkeley Function Calling Leaderboard | 25% | — |
| TheAgentCompany | 1.7% | — |
| τ²-bench Banking | — | 37.1% |
| PostTrainBench | — | 31.7% |
| GBAEval | — | 0% |
| Vending-Bench 2 | — | 8,314 |
Reasoning GLM-5.2 leads
Amazon Nova Pro: 20.0 (#243), GLM-5.2: 42.3 (#52)
| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Hard Prompts | 1246 | 1480 |
| Epoch Capabilities Index | 123.8 | 151.78 |
| ARC-AGI-2 | — | 22.8% |
| SimpleBench | — | 58.8% |
| Kagi LLM Benchmark | — | 62.6% |
| NYT Connections (extended) | — | 74.3% |
| ARC-AGI-1 | — | 77% |
| CritPt | — | 20.9% |
| Chess Puzzles | — | 21% |
| EBR-Bench | — | 9.5% |
| LiveBench Reasoning | 32.6% | — |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 93.6% |
| LiveBench Data Analysis | 48.3% | — |
| LMCA | — | 45.8% |
| Surface Evolver Bench | — | 55.6% |
| LiveBench | 43.5% | — |
Math GLM-5.2 leads
Amazon Nova Pro: 28.5 (#243), GLM-5.2: 55.7 (#43)
| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Math | 1252 | 1482 |
| FrontierMath (Tiers 1-3) | — | 59.2% |
| FrontierMath Tier 4 | — | 29.3% |
| MathArena Final-Answer Competitions | — | 67.6% |
| OTIS Mock AIME 2024-2025 | — | 86.4% |
| ProofBench | — | 35% |
| Omni-MATH | 24.2% | — |
| LiveBench Math | 38% | — |
Knowledge GLM-5.2 leads
Amazon Nova Pro: 27.4 (#250), GLM-5.2: 57.1 (#40)
| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Expert | 1211 | 1486 |
| GPQA Diamond | — | 91.9% |
| Humanity's Last Exam | 4.4% | — |
| SimpleQA Verified | — | 34.2% |
| MMLU-Pro | 67.3% | — |
| Confabulations | 30.1% | — |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | 44.6% | — |
| MMLU | 82% | — |
Multimodal Not comparable
Amazon Nova Pro: 25.0 (#126), GLM-5.2: —
| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Vision | 980 | — |
Multilingual GLM-5.2 leads
Amazon Nova Pro: 39.7 (#223), GLM-5.2: 55.8 (#26)
| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Non-English | 1234 | 1459 |
| LMArena Chinese | 1244 | 1519 |
| LMArena French | 1271 | 1479 |
| LMArena German | 1243 | 1468 |
| LMArena Japanese | 1200 | 1451 |
| LMArena Korean | 1203 | 1445 |
| LMArena Russian | 1240 | 1466 |
| LMArena Spanish | 1182 | 1477 |
Instruction Following GLM-5.2 leads
Amazon Nova Pro: 64.9 (#226), GLM-5.2: 76.9 (#34)
| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Instruction Following | 1235 | 1465 |
| LiveBench Instruction Following | 67.1% | — |
| IFEval | 81.5% | — |
Long Context GLM-5.2 leads
Amazon Nova Pro: 38.1 (#205), GLM-5.2: 45.3 (#43)
| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Longer Query | 1255 | 1479 |
Writing & Preference GLM-5.2 leads
Amazon Nova Pro: 43.9 (#226), GLM-5.2: 70.4 (#21)
| Benchmark | Amazon Nova Pro | GLM-5.2 |
|---|---|---|
| LMArena Text | 1259 | 1470 |
| LMArena Creative Writing | 1212 | 1462 |
| LMArena Multi-Turn | 1246 | 1469 |
| Short-Story Creative Writing | 60.5% | — |
| EQ-Bench Creative Writing | — | 1757 |
| WildBench | 77.7% | — |
| EQ-Bench 4 | — | 1222 |
| LiveBench Language | 37% | — |
Frequently asked questions
Is Amazon Nova Pro better than GLM-5.2?
GLM-5.2 is the stronger model overall, scoring 51.1 to 31.0 on the Noometry Index. Amazon Nova Pro costs 1.5× less per token, which makes it the better buy when GLM-5.2's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Pro or GLM-5.2?
Amazon Nova Pro is cheaper. It lists at $0.80 per million input tokens and $3.20 per million output tokens; GLM-5.2 lists at $1.40 and $4.40.
Is Amazon Nova Pro or GLM-5.2 better for coding?
GLM-5.2 scores higher on coding benchmarks: 51.3 versus 35.1 in the Noometry coding category.
Which has the bigger context window?
GLM-5.2 does, with 1M tokens against 300K.
How many benchmarks do Amazon Nova Pro and GLM-5.2 share?
18 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and GLM-5.2 has 51.