Model comparison
Amazon Nova Micro vs GLM-5
GLM-5 is the stronger model overall, scoring 45.9 to 29.9 on the Noometry Index. Amazon Nova Micro costs 25× less per token, which makes it the better buy when GLM-5'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 Micro scores higher in 0 categories and GLM-5 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-5 leads 66.2 to 39.7.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $1 / $3.20 for GLM-5.
- GLM-5 accepts more context: 205K tokens versus 128K.
- GLM-5 has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Micro | GLM-5 | |
|---|---|---|
| Provider | Amazon | Z.ai (Zhipu) |
| Noometry Index | 29.9 | 45.9 |
| Released | 2024-12-03 | 2026-02-11 |
| Weights | Proprietary | Open |
| Context window | 128K | 205K |
| Max output | 10K | 131K |
| Input $ / M tokens | $0.035 | $1 |
| Output $ / M tokens | $0.14 | $3.20 |
| Results tracked | 32 | 45 |
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Category by category
Coding GLM-5 leads
Amazon Nova Micro: 30.0 (#289), GLM-5: 49.0 (#47)
| Benchmark | Amazon Nova Micro | GLM-5 |
|---|---|---|
| LMArena Coding | 1218 | 1461 |
| SWE-bench Verified | — | 72.1% |
| SWE-bench Verified (bash only) | — | 72.8% |
| LMArena WebDev | — | 1434 |
| SWE-bench Multilingual | — | 69.7% |
| WeirdML | — | 48.2% |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 765.62 |
Agentic & Tool Use GLM-5 leads
Amazon Nova Micro: 21.9 (#125), GLM-5: 30.9 (#65)
| Benchmark | Amazon Nova Micro | GLM-5 |
|---|---|---|
| Terminal-Bench | — | 52.4% |
| Berkeley Function Calling Leaderboard | 22.3% | — |
| τ²-bench Airline | — | 82.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 73.7% |
| τ²-bench Telecom | — | 86.8% |
| Vending-Bench 2 | — | 4,432 |
Reasoning GLM-5 leads
Amazon Nova Micro: 16.7 (#289), GLM-5: 27.6 (#100)
| Benchmark | Amazon Nova Micro | GLM-5 |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1451 |
| ARC-AGI-2 | — | 4.9% |
| SimpleBench | — | 53.2% |
| Kagi LLM Benchmark | — | 75% |
| NYT Connections (extended) | — | 74.8% |
| ARC-AGI-1 | — | 44.7% |
| Chess Puzzles | — | 10% |
| LiveBench Reasoning | 25.1% | — |
| LiveBench Data Analysis | 34% | — |
| Epoch Capabilities Index | — | 145.84 |
| ForecastBench | — | 61 |
| LiveBench | 29.6% | — |
Math GLM-5 leads
Amazon Nova Micro: 24.9 (#252), GLM-5: 44.8 (#66)
| Benchmark | Amazon Nova Micro | GLM-5 |
|---|---|---|
| LMArena Math | 1206 | 1440 |
| MathArena Final-Answer Competitions | — | 65.7% |
| OTIS Mock AIME 2024-2025 | — | 80% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |
| FrontierMath (Feb 2025 set) | — | 16.4% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GLM-5 leads
Amazon Nova Micro: 29.2 (#231), GLM-5: 52.2 (#59)
| Benchmark | Amazon Nova Micro | GLM-5 |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 10.1% |
| LMArena Expert | 1184 | 1454 |
| GPQA Diamond | — | 87.8% |
| MMLU-Pro | 51.1% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |
Multilingual GLM-5 leads
Amazon Nova Micro: 36.7 (#234), GLM-5: 53.9 (#57)
| Benchmark | Amazon Nova Micro | GLM-5 |
|---|---|---|
| LMArena Non-English | 1186 | 1430 |
| LMArena Chinese | 1209 | 1511 |
| LMArena French | 1237 | 1455 |
| LMArena German | 1192 | 1445 |
| LMArena Japanese | 1154 | 1416 |
| LMArena Korean | 1150 | 1421 |
| LMArena Russian | 1185 | 1436 |
| LMArena Spanish | 1225 | 1452 |
Instruction Following GLM-5 leads
Amazon Nova Micro: 56.6 (#267), GLM-5: 75.4 (#64)
| Benchmark | Amazon Nova Micro | GLM-5 |
|---|---|---|
| LMArena Instruction Following | 1174 | 1427 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |
Long Context GLM-5 leads
Amazon Nova Micro: 36.5 (#224), GLM-5: 44.6 (#58)
| Benchmark | Amazon Nova Micro | GLM-5 |
|---|---|---|
| LMArena Longer Query | 1206 | 1446 |
| CL-bench | — | 18.7% |
Writing & Preference GLM-5 leads
Amazon Nova Micro: 39.7 (#242), GLM-5: 66.2 (#38)
| Benchmark | Amazon Nova Micro | GLM-5 |
|---|---|---|
| LMArena Text | 1208 | 1446 |
| LMArena Creative Writing | 1172 | 1438 |
| LMArena Multi-Turn | 1178 | 1456 |
| EQ-Bench Creative Writing | — | 1601 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than GLM-5?
GLM-5 is the stronger model overall, scoring 45.9 to 29.9 on the Noometry Index. Amazon Nova Micro costs 25× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Micro or GLM-5?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; GLM-5 lists at $1 and $3.20.
Is Amazon Nova Micro or GLM-5 better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 30.0 in the Noometry coding category.
Which has the bigger context window?
GLM-5 does, with 205K tokens against 128K.
How many benchmarks do Amazon Nova Micro and GLM-5 share?
18 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and GLM-5 has 45.