Model comparison
Deepseek Coder v2 vs Qwen3 14B
Deepseek Coder v2 and Qwen3 14B score almost the same on the Noometry Index (35.9 vs 35.5), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 32.3.
Side by side
| Deepseek Coder v2 | Qwen3 14B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.9 | 35.5 |
| Released | 2024-06-17 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.35 |
| Output $ / M tokens | — | $1.40 |
| Results tracked | 24 | 12 |
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Category by category
Coding Too close to call
Deepseek Coder v2: 38.1 (#183), Qwen3 14B: 37.3 (#195)
| Benchmark | Deepseek Coder v2 | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Agentic & Tool Use Not comparable
Deepseek Coder v2: —, Qwen3 14B: 29.6 (#83)
| Benchmark | Deepseek Coder v2 | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), Qwen3 14B: 18.5 (#280)
| Benchmark | Deepseek Coder v2 | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1207 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
| WinoGrande | 83.7% | — |
Math Qwen3 14B leads
Deepseek Coder v2: 34.9 (#190), Qwen3 14B: 38.6 (#133)
| Benchmark | Deepseek Coder v2 | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |
Knowledge Qwen3 14B leads
Deepseek Coder v2: 32.3 (#212), Qwen3 14B: 39.3 (#134)
| Benchmark | Deepseek Coder v2 | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), Qwen3 14B: —
| Benchmark | Deepseek Coder v2 | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Not comparable
Deepseek Coder v2: 61.7 (#242), Qwen3 14B: —
| Benchmark | Deepseek Coder v2 | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Qwen3 14B leads
Deepseek Coder v2: 37.0 (#224), Qwen3 14B: 38.1 (#204)
| Benchmark | Deepseek Coder v2 | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1219 | — |
Writing & Preference Not comparable
Deepseek Coder v2: 38.2 (#253), Qwen3 14B: —
| Benchmark | Deepseek Coder v2 | Qwen3 14B |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1177 | — |
Frequently asked questions
Is Deepseek Coder v2 better than Qwen3 14B?
Deepseek Coder v2 and Qwen3 14B score almost the same on the Noometry Index (35.9 vs 35.5), so choose on price, context window or the category you care about most.
Is Deepseek Coder v2 or Qwen3 14B better for coding?
They score almost the same on coding (38.1 vs 37.3); test both on your own repository before choosing.
How many benchmarks do Deepseek Coder v2 and Qwen3 14B share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen3 14B has 12.