Model comparison
Qwen3-1.7B vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 26.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where Qwen3-Coder 480B-A35B Instruct leads 34.9 to 15.4.
Side by side
| Qwen3-1.7B | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 26.2 | 37.7 |
| Released | 2025-04-29 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 4 | 25 |
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Category by category
Coding Not comparable
Qwen3-1.7B: —, Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | Qwen3-1.7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| LMArena Coding | — | 1413 |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Too close to call
Qwen3-1.7B: 24.5 (#108), Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | Qwen3-1.7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | 28.4% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Qwen3-1.7B: 18.5 (#263), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | Qwen3-1.7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 49.5% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1372 |
Math Qwen3-Coder 480B-A35B Instruct leads
Qwen3-1.7B: 15.4 (#288), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | Qwen3-1.7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.1% | — |
| LMArena Math | — | 1364 |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Qwen3-1.7B: 19.6 (#273), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | Qwen3-1.7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| GPQA Diamond | 38% | — |
| LMArena Expert | — | 1337 |
Multilingual Not comparable
Qwen3-1.7B: —, Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | Qwen3-1.7B | 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
Qwen3-1.7B: —, Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | Qwen3-1.7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1356 |
Long Context Not comparable
Qwen3-1.7B: —, Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | Qwen3-1.7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1379 |
Writing & Preference Not comparable
Qwen3-1.7B: —, Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | Qwen3-1.7B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | — | 1356 |
| LMArena Creative Writing | — | 1333 |
| LMArena Multi-Turn | — | 1365 |
Frequently asked questions
Is Qwen3-1.7B better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 26.2 on the Noometry Index.
How many benchmarks do Qwen3-1.7B and Qwen3-Coder 480B-A35B Instruct share?
0 benchmarks have published results for both models. Qwen3-1.7B has 4 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.