Model comparison
Amazon Nova Micro vs Qwen3.5-Flash
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 30.4 on the Noometry Index. Amazon Nova Micro costs 2.9× less per token, which makes it the better buy when Qwen3.5-Flash's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and Qwen3.5-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5-Flash leads 57.9 to 39.5.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 5.5% for Amazon Nova Micro and 10.5% for Qwen3.5-Flash.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.10 / $0.40 for Qwen3.5-Flash.
- Qwen3.5-Flash accepts more context: 1M tokens versus 128K.
Side by side
| Amazon Nova Micro | Qwen3.5-Flash | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 30.4 | 42.5 |
| Released | 2024-12-03 | 2026-02-23 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 1M |
| Max output | 10K | 66K |
| Input $ / M tokens | $0.035 | $0.10 |
| Output $ / M tokens | $0.14 | $0.40 |
| Results tracked | 32 | 32 |
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Category by category
Coding Qwen3.5-Flash leads
Amazon Nova Micro: 30.5 (#295), Qwen3.5-Flash: 34.2 (#242)
| Benchmark | Amazon Nova Micro | Qwen3.5-Flash |
|---|---|---|
| LMArena Coding | 1218 | 1412 |
| LMArena WebDev | — | 1244 |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 221.8 |
Agentic & Tool Use Not comparable
Amazon Nova Micro: 22.1 (#132), Qwen3.5-Flash: —
| Benchmark | Amazon Nova Micro | Qwen3.5-Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 22.3% | — |
| Vending-Bench 2 | — | 462.69 |
Reasoning Qwen3.5-Flash leads
Amazon Nova Micro: 17.4 (#294), Qwen3.5-Flash: 33.7 (#72)
| Benchmark | Amazon Nova Micro | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1403 |
| Chess Puzzles | — | 21% |
| LiveBench Reasoning | 25.1% | — |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 29.1% |
| Epoch Capabilities Index | — | 143.98 |
| LiveBench | 29.6% | — |
Math Qwen3.5-Flash leads
Amazon Nova Micro: 26.9 (#254), Qwen3.5-Flash: 37.4 (#158)
| Benchmark | Amazon Nova Micro | Qwen3.5-Flash |
|---|---|---|
| LMArena Math | 1206 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.5-Flash leads
Amazon Nova Micro: 29.6 (#237), Qwen3.5-Flash: 43.2 (#93)
| Benchmark | Amazon Nova Micro | Qwen3.5-Flash |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 10.5% |
| LMArena Expert | 1184 | 1407 |
| GPQA Diamond | — | 82.3% |
| SimpleQA Verified | — | 20.3% |
| MMLU-Pro | 51.1% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |
Multilingual Qwen3.5-Flash leads
Amazon Nova Micro: 36.5 (#239), Qwen3.5-Flash: 50.5 (#121)
| Benchmark | Amazon Nova Micro | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1186 | 1385 |
| LMArena Chinese | 1209 | 1446 |
| LMArena French | 1238 | 1412 |
| LMArena German | 1192 | 1390 |
| LMArena Japanese | 1154 | 1368 |
| LMArena Korean | 1150 | 1344 |
| LMArena Russian | 1185 | 1379 |
| LMArena Spanish | 1225 | 1400 |
Instruction Following Qwen3.5-Flash leads
Amazon Nova Micro: 56.3 (#272), Qwen3.5-Flash: 72.6 (#139)
| Benchmark | Amazon Nova Micro | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1174 | 1374 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |
Long Context Qwen3.5-Flash leads
Amazon Nova Micro: 36.5 (#229), Qwen3.5-Flash: 42.4 (#124)
| Benchmark | Amazon Nova Micro | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1205 | 1392 |
Writing & Preference Qwen3.5-Flash leads
Amazon Nova Micro: 39.5 (#247), Qwen3.5-Flash: 57.9 (#122)
| Benchmark | Amazon Nova Micro | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1208 | 1397 |
| LMArena Creative Writing | 1172 | 1343 |
| LMArena Multi-Turn | 1178 | 1393 |
| WildBench | 74.3% | — |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than Qwen3.5-Flash?
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 30.4 on the Noometry Index. Amazon Nova Micro costs 2.9× less per token, which makes it the better buy when Qwen3.5-Flash's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Micro or Qwen3.5-Flash?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; Qwen3.5-Flash lists at $0.10 and $0.40.
Is Amazon Nova Micro or Qwen3.5-Flash better for coding?
Qwen3.5-Flash scores higher on coding benchmarks: 34.2 versus 30.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5-Flash does, with 1M tokens against 128K.
How many benchmarks do Amazon Nova Micro and Qwen3.5-Flash share?
18 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and Qwen3.5-Flash has 32.