Model comparison
DeepSeek V4.1 Flash vs Qwen3 Coder Next
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 34.3 on the Noometry Index.
Last verified . 2 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 2 categories and Qwen3 Coder Next in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 22.4.
- The biggest single-benchmark swing is SciCode: 51.9% for DeepSeek V4.1 Flash and 32.3% for Qwen3 Coder Next.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.12 / $0.80 for Qwen3 Coder Next.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.
Side by side
| DeepSeek V4.1 Flash | Qwen3 Coder Next | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 52.8 | 34.3 |
| Released | 2026-09-09 | 2026-02-02 |
| Weights | Open | Open |
| Context window | 1M | 262K |
| Max output | 393K | 66K |
| Input $ / M tokens | $0.15 | $0.12 |
| Output $ / M tokens | $0.60 | $0.80 |
| Results tracked | 37 | 3 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), Qwen3 Coder Next: 36.3 (#210)
| Benchmark | DeepSeek V4.1 Flash | Qwen3 Coder Next |
|---|---|---|
| SciCode | 51.9% | 32.3% |
| LMArena WebDev | 1619 | — |
| WeirdML | — | 34.4% |
| LMArena Coding | 1506 | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), Qwen3 Coder Next: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3 Coder Next |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), Qwen3 Coder Next: 22.4 (#196)
| Benchmark | DeepSeek V4.1 Flash | Qwen3 Coder Next |
|---|---|---|
| CritPt | 14.3% | 0% |
| NYT Connections (extended) | 89.6% | — |
| LMArena Hard Prompts | 1483 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 154.9 | — |
Math Not comparable
DeepSeek V4.1 Flash: 66.7 (#25), Qwen3 Coder Next: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3 Coder Next |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| LMArena Math | 1477 | — |
Knowledge Not comparable
DeepSeek V4.1 Flash: 57.9 (#38), Qwen3 Coder Next: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 89.8% | — |
| LMArena Expert | 1506 | — |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), Qwen3 Coder Next: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3 Coder Next |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual Not comparable
DeepSeek V4.1 Flash: 55.0 (#35), Qwen3 Coder Next: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1448 | — |
| LMArena Chinese | 1497 | — |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Russian | 1471 | — |
| LMArena Spanish | 1459 | — |
Instruction Following Not comparable
DeepSeek V4.1 Flash: 77.3 (#26), Qwen3 Coder Next: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1474 | — |
Long Context Not comparable
DeepSeek V4.1 Flash: 45.2 (#47), Qwen3 Coder Next: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1475 | — |
Writing & Preference Not comparable
DeepSeek V4.1 Flash: 65.4 (#48), Qwen3 Coder Next: —
| Benchmark | DeepSeek V4.1 Flash | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1462 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1540 | — |
| LMArena Multi-Turn | 1457 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Qwen3 Coder Next?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 34.3 on the Noometry Index.
Which is cheaper, DeepSeek V4.1 Flash or Qwen3 Coder Next?
DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen3 Coder Next lists at $0.12 and $0.80.
Is DeepSeek V4.1 Flash or Qwen3 Coder Next better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 36.3 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4.1 Flash does, with 1M tokens against 262K.
How many benchmarks do DeepSeek V4.1 Flash and Qwen3 Coder Next share?
2 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Qwen3 Coder Next has 3.