Model comparison
Qwen3 14B vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 35.0 on the Noometry Index. Qwen3 14B costs 4.9× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Qwen3 14B scores higher in 4 categories and Qwen3-Coder 480B-A35B Instruct in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Coder 480B-A35B Instruct leads 24.7 to 18.1.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 131K.
Side by side
| Qwen3 14B | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 35.0 | 37.7 |
| Released | 2025-04 | 2025-04 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.35 | $1.50 |
| Output $ / M tokens | $1.40 | $7.50 |
| Results tracked | 12 | 25 |
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Category by category
Coding Too close to call
Qwen3 14B: 36.7 (#191), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | Qwen3 14B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| SciCode | 31.6% | — |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| LMArena Coding | — | 1413 |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Qwen3 14B leads
Qwen3 14B: 29.4 (#78), Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | Qwen3 14B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | 41% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Qwen3 14B: 18.1 (#272), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | Qwen3 14B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 49.1% | 49.5% |
| CritPt | 0% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | — | 1372 |
| DTBench | 64% | — |
| LMCA | 18.2% | — |
| Epoch Capabilities Index | 138.23 | — |
Math Qwen3 14B leads
Qwen3 14B: 37.0 (#102), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | Qwen3 14B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.4% | — |
| LMArena Math | — | 1364 |
Knowledge Qwen3 14B leads
Qwen3 14B: 39.2 (#124), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | Qwen3 14B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| GPQA Diamond | 63.8% | — |
| Vectara Hallucination Rate | 5.4% | — |
| LMArena Expert | — | 1337 |
Multilingual Not comparable
Qwen3 14B: —, Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | Qwen3 14B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | — | 1345 |
| LMArena Chinese | — | 1356 |
| LMArena French | — | 1394 |
| LMArena German | — | 1324 |
| LMArena Japanese | — | 1309 |
| LMArena Korean | — | 1307 |
| LMArena Russian | — | 1367 |
| LMArena Spanish | — | 1360 |
Instruction Following Not comparable
Qwen3 14B: —, Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | Qwen3 14B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1356 |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Qwen3 14B: 38.0 (#201), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | Qwen3 14B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Fiction.LiveBench | 62.5% | — |
| LMArena Longer Query | — | 1379 |
Writing & Preference Not comparable
Qwen3 14B: —, Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | Qwen3 14B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | — | 1356 |
| LMArena Creative Writing | — | 1333 |
| LMArena Multi-Turn | — | 1365 |
Frequently asked questions
Is Qwen3 14B better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 35.0 on the Noometry Index. Qwen3 14B costs 4.9× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Which is cheaper, Qwen3 14B or Qwen3-Coder 480B-A35B Instruct?
Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Qwen3 14B or Qwen3-Coder 480B-A35B Instruct better for coding?
They score almost the same on coding (36.7 vs 36.2); test both on your own repository before choosing.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 131K.
How many benchmarks do Qwen3 14B and Qwen3-Coder 480B-A35B Instruct share?
1 benchmark has published results for both models. Qwen3 14B has 12 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.