Model comparison
Amazon Nova Micro vs GLM-5.2
GLM-5.2 is the stronger model overall, scoring 50.9 to 29.9 on the Noometry Index. Amazon Nova Micro costs 35× less per token, which makes it the better buy when GLM-5.2's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and GLM-5.2 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5.2 leads 70.7 to 39.7.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $1.40 / $4.40 for GLM-5.2.
- GLM-5.2 accepts more context: 1M tokens versus 128K.
- GLM-5.2 has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Micro | GLM-5.2 | |
|---|---|---|
| Provider | Amazon | Z.ai (Zhipu) |
| Noometry Index | 29.9 | 50.9 |
| Released | 2024-12-03 | 2026-06-13 |
| Weights | Proprietary | Open |
| Context window | 128K | 1M |
| Max output | 10K | 131K |
| Input $ / M tokens | $0.035 | $1.40 |
| Output $ / M tokens | $0.14 | $4.40 |
| Results tracked | 32 | 50 |
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Category by category
Coding GLM-5.2 leads
Amazon Nova Micro: 30.0 (#289), GLM-5.2: 50.9 (#37)
| Benchmark | Amazon Nova Micro | GLM-5.2 |
|---|---|---|
| LMArena Coding | 1218 | 1484 |
| SWE-bench Verified | — | 78.7% |
| DeepSWE | — | 43.8% |
| FrontierCode | — | 24.5% |
| LMArena WebDev | — | 1604 |
| SciCode | — | 50.5% |
| WeirdML | — | 70.1% |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 1,047 |
Agentic & Tool Use GLM-5.2 leads
Amazon Nova Micro: 21.9 (#125), GLM-5.2: 31.6 (#63)
| Benchmark | Amazon Nova Micro | GLM-5.2 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | — |
| τ²-bench Banking | — | 37.1% |
| PostTrainBench | — | 31.7% |
| GBAEval | — | 0% |
| Vending-Bench 2 | — | 8,314 |
Reasoning GLM-5.2 leads
Amazon Nova Micro: 16.7 (#289), GLM-5.2: 42.1 (#46)
| Benchmark | Amazon Nova Micro | GLM-5.2 |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1480 |
| 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 | 25.1% | — |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 93.6% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 45.8% |
| Surface Evolver Bench | — | 55.6% |
| Epoch Capabilities Index | — | 151.76 |
| LiveBench | 29.6% | — |
Math GLM-5.2 leads
Amazon Nova Micro: 24.9 (#252), GLM-5.2: 55.4 (#35)
| Benchmark | Amazon Nova Micro | GLM-5.2 |
|---|---|---|
| LMArena Math | 1206 | 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 | 21.4% | — |
| LiveBench Math | 34.5% | — |
Knowledge GLM-5.2 leads
Amazon Nova Micro: 29.2 (#231), GLM-5.2: 57.1 (#36)
| Benchmark | Amazon Nova Micro | GLM-5.2 |
|---|---|---|
| LMArena Expert | 1184 | 1484 |
| GPQA Diamond | — | 91.9% |
| SimpleQA Verified | — | 34.2% |
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |
Multilingual GLM-5.2 leads
Amazon Nova Micro: 36.7 (#234), GLM-5.2: 56.0 (#25)
| Benchmark | Amazon Nova Micro | GLM-5.2 |
|---|---|---|
| LMArena Non-English | 1186 | 1459 |
| LMArena Chinese | 1209 | 1518 |
| LMArena French | 1237 | 1476 |
| LMArena German | 1192 | 1470 |
| LMArena Japanese | 1154 | 1451 |
| LMArena Korean | 1150 | 1445 |
| LMArena Russian | 1185 | 1467 |
| LMArena Spanish | 1225 | 1477 |
Instruction Following GLM-5.2 leads
Amazon Nova Micro: 56.6 (#267), GLM-5.2: 77.1 (#32)
| Benchmark | Amazon Nova Micro | GLM-5.2 |
|---|---|---|
| LMArena Instruction Following | 1174 | 1465 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |
Long Context GLM-5.2 leads
Amazon Nova Micro: 36.5 (#224), GLM-5.2: 45.3 (#43)
| Benchmark | Amazon Nova Micro | GLM-5.2 |
|---|---|---|
| LMArena Longer Query | 1206 | 1479 |
Writing & Preference GLM-5.2 leads
Amazon Nova Micro: 39.7 (#242), GLM-5.2: 70.7 (#20)
| Benchmark | Amazon Nova Micro | GLM-5.2 |
|---|---|---|
| LMArena Text | 1208 | 1470 |
| LMArena Creative Writing | 1172 | 1465 |
| LMArena Multi-Turn | 1178 | 1468 |
| EQ-Bench Creative Writing | — | 1757 |
| WildBench | 74.3% | — |
| EQ-Bench 4 | — | 1222 |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than GLM-5.2?
GLM-5.2 is the stronger model overall, scoring 50.9 to 29.9 on the Noometry Index. Amazon Nova Micro costs 35× 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 Micro or GLM-5.2?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; GLM-5.2 lists at $1.40 and $4.40.
Is Amazon Nova Micro or GLM-5.2 better for coding?
GLM-5.2 scores higher on coding benchmarks: 50.9 versus 30.0 in the Noometry coding category.
Which has the bigger context window?
GLM-5.2 does, with 1M tokens against 128K.
How many benchmarks do Amazon Nova Micro and GLM-5.2 share?
17 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and GLM-5.2 has 50.