Model comparison
Amazon Nova Micro vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 30.4 on the Noometry Index. Amazon Nova Micro costs 18× less per token, which makes it the better buy when Qwen3.8 27B's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and Qwen3.8 27B in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.8 27B leads 65.8 to 39.5.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.99 / $1.49 for Qwen3.8 27B.
- Qwen3.8 27B accepts more context: 262K tokens versus 128K.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Micro | Qwen3.8 27B | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 30.4 | 46.0 |
| Released | 2024-12-03 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | 128K | 262K |
| Max output | 10K | 33K |
| Input $ / M tokens | $0.035 | $0.99 |
| Output $ / M tokens | $0.14 | $1.49 |
| Results tracked | 32 | 31 |
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Category by category
Coding Qwen3.8 27B leads
Amazon Nova Micro: 30.5 (#295), Qwen3.8 27B: 50.5 (#44)
| Benchmark | Amazon Nova Micro | Qwen3.8 27B |
|---|---|---|
| LMArena Coding | 1218 | 1482 |
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
| LiveBench Coding | 20.2% | — |
Agentic & Tool Use Qwen3.8 27B leads
Amazon Nova Micro: 22.1 (#132), Qwen3.8 27B: 32.9 (#57)
| Benchmark | Amazon Nova Micro | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
| Berkeley Function Calling Leaderboard | 22.3% | — |
Reasoning Qwen3.8 27B leads
Amazon Nova Micro: 17.4 (#294), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Amazon Nova Micro | Qwen3.8 27B |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1460 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| LiveBench Reasoning | 25.1% | — |
| DTBench | — | 88% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| Epoch Capabilities Index | — | 149.38 |
| LiveBench | 29.6% | — |
Math Qwen3.8 27B leads
Amazon Nova Micro: 26.9 (#254), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Amazon Nova Micro | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1206 | 1456 |
| ProofBench | — | 16% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |
Knowledge Qwen3.8 27B leads
Amazon Nova Micro: 29.6 (#237), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Amazon Nova Micro | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | 1184 | 1482 |
| MMLU-Pro | 51.1% | — |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |
Multimodal Not comparable
Amazon Nova Micro: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | Amazon Nova Micro | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Qwen3.8 27B leads
Amazon Nova Micro: 36.5 (#239), Qwen3.8 27B: 53.7 (#60)
| Benchmark | Amazon Nova Micro | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1186 | 1430 |
| LMArena Chinese | 1209 | 1504 |
| LMArena French | 1238 | 1465 |
| LMArena German | 1192 | 1438 |
| LMArena Japanese | 1154 | 1384 |
| LMArena Korean | 1150 | 1393 |
| LMArena Russian | 1185 | 1415 |
| LMArena Spanish | 1225 | 1448 |
Instruction Following Qwen3.8 27B leads
Amazon Nova Micro: 56.3 (#272), Qwen3.8 27B: 75.8 (#53)
| Benchmark | Amazon Nova Micro | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1174 | 1439 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |
Long Context Qwen3.8 27B leads
Amazon Nova Micro: 36.5 (#229), Qwen3.8 27B: 44.3 (#70)
| Benchmark | Amazon Nova Micro | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1205 | 1450 |
Writing & Preference Qwen3.8 27B leads
Amazon Nova Micro: 39.5 (#247), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Amazon Nova Micro | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1208 | 1441 |
| LMArena Creative Writing | 1172 | 1384 |
| LMArena Multi-Turn | 1178 | 1441 |
| EQ-Bench Creative Writing | — | 1671 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 30.4 on the Noometry Index. Amazon Nova Micro costs 18× less per token, which makes it the better buy when Qwen3.8 27B's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Micro or Qwen3.8 27B?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Qwen3.8 27B lists at $0.99 and $1.49.
Is Amazon Nova Micro or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 30.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3.8 27B does, with 262K tokens against 128K.
How many benchmarks do Amazon Nova Micro and Qwen3.8 27B share?
17 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Qwen3.8 27B has 31.