Model comparison
Nova Premier 1.0 vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 38.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen3.8 27B leads 41.0 to 23.0.
- Qwen3.8 27B is cheaper at $0.04 / $2.30 per million input/output tokens, against $2.50 / $12.50 for Nova Premier 1.0.
- Nova Premier 1.0 accepts more context: 1M tokens versus 262K.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| Nova Premier 1.0 | Qwen3.8 27B | |
|---|---|---|
| Provider | Amazon | Alibaba (Qwen) |
| Noometry Index | 38.3 | 46.0 |
| Released | 2025-04-30 | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 10K | 33K |
| Input $ / M tokens | $2.50 | $0.04 |
| Output $ / M tokens | $12.50 | $2.30 |
| Results tracked | 6 | 31 |
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Category by category
Coding Not comparable
Nova Premier 1.0: —, Qwen3.8 27B: 50.5 (#44)
| Benchmark | Nova Premier 1.0 | Qwen3.8 27B |
|---|---|---|
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
| LMArena Coding | — | 1482 |
Agentic & Tool Use Not comparable
Nova Premier 1.0: —, Qwen3.8 27B: 32.9 (#57)
| Benchmark | Nova Premier 1.0 | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
Reasoning Qwen3.8 27B leads
Nova Premier 1.0: 23.0 (#185), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Nova Premier 1.0 | Qwen3.8 27B |
|---|---|---|
| ARC-AGI-2 | — | 42.4% |
| Kagi LLM Benchmark | 44.8% | — |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| LMArena Hard Prompts | — | 1460 |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| Epoch Capabilities Index | — | 149.38 |
Math Qwen3.8 27B leads
Nova Premier 1.0: 33.8 (#199), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Nova Premier 1.0 | Qwen3.8 27B |
|---|---|---|
| ProofBench | — | 16% |
| Omni-MATH | 35% | — |
| LMArena Math | — | 1456 |
Knowledge Qwen3.8 27B leads
Nova Premier 1.0: 35.8 (#180), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Nova Premier 1.0 | Qwen3.8 27B |
|---|---|---|
| MMLU-Pro | 72.6% | — |
| GPQA (HELM) | 51.8% | — |
| LMArena Expert | — | 1482 |
Multimodal Not comparable
Nova Premier 1.0: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | Nova Premier 1.0 | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Not comparable
Nova Premier 1.0: —, Qwen3.8 27B: 53.7 (#60)
| Benchmark | Nova Premier 1.0 | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | — | 1430 |
| LMArena Chinese | — | 1504 |
| LMArena French | — | 1465 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1384 |
| LMArena Korean | — | 1393 |
| LMArena Russian | — | 1415 |
| LMArena Spanish | — | 1448 |
Instruction Following Qwen3.8 27B leads
Nova Premier 1.0: 66.8 (#204), Qwen3.8 27B: 75.8 (#53)
| Benchmark | Nova Premier 1.0 | Qwen3.8 27B |
|---|---|---|
| IFEval | 80.3% | — |
| LMArena Instruction Following | — | 1439 |
Long Context Not comparable
Nova Premier 1.0: —, Qwen3.8 27B: 44.3 (#70)
| Benchmark | Nova Premier 1.0 | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | — | 1450 |
Writing & Preference Qwen3.8 27B leads
Nova Premier 1.0: 51.0 (#178), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Nova Premier 1.0 | Qwen3.8 27B |
|---|---|---|
| LMArena Text | — | 1441 |
| LMArena Creative Writing | — | 1384 |
| EQ-Bench Creative Writing | — | 1671 |
| WildBench | 78.8% | — |
| LMArena Multi-Turn | — | 1441 |
Frequently asked questions
Is Nova Premier 1.0 better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 38.3 on the Noometry Index.
Which is cheaper, Nova Premier 1.0 or Qwen3.8 27B?
Qwen3.8 27B is cheaper. It lists at $0.04 per million input tokens and $2.30 per million output tokens; Nova Premier 1.0 lists at $2.50 and $12.50.
Which has the bigger context window?
Nova Premier 1.0 does, with 1M tokens against 262K.
How many benchmarks do Nova Premier 1.0 and Qwen3.8 27B share?
0 benchmarks have published results for both models. Nova Premier 1.0 has 6 scored results on Noometry and Qwen3.8 27B has 31.