Model comparison
ERNIE 5.0 0110 vs Qwen3-1.7B
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 26.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Baidu
Alibaba (Qwen)Summary
- The widest gap is in math, where ERNIE 5.0 0110 leads 39.3 to 16.3.
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.0 0110 | Qwen3-1.7B | |
|---|---|---|
| Provider | Baidu | Alibaba (Qwen) |
| Noometry Index | 41.8 | 26.6 |
| Released | — | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 20 | 4 |
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Category by category
Coding Not comparable
ERNIE 5.0 0110: 43.0 (#94), Qwen3-1.7B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3-1.7B |
|---|---|---|
| LMArena Coding | 1455 | — |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, Qwen3-1.7B: 24.7 (#115)
| Benchmark | ERNIE 5.0 0110 | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Qwen3-1.7B leads
ERNIE 5.0 0110: 17.0 (#297), Qwen3-1.7B: 19.2 (#267)
| Benchmark | ERNIE 5.0 0110 | Qwen3-1.7B |
|---|---|---|
| NYT Connections (extended) | 10.3% | — |
| Chess Puzzles | — | 0% |
| Thematic Generalization | 41.7% | — |
| LMArena Hard Prompts | 1445 | — |
Math ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.3 (#110), Qwen3-1.7B: 16.3 (#294)
| Benchmark | ERNIE 5.0 0110 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| LMArena Math | 1437 | — |
Knowledge ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.8 (#128), Qwen3-1.7B: 19.6 (#278)
| Benchmark | ERNIE 5.0 0110 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| LMArena Expert | 1428 | — |
Multimodal Not comparable
ERNIE 5.0 0110: 39.9 (#53), Qwen3-1.7B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1249 | — |
Multilingual Not comparable
ERNIE 5.0 0110: 54.1 (#49), Qwen3-1.7B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1436 | — |
| LMArena Chinese | 1512 | — |
| LMArena French | 1467 | — |
| LMArena German | 1460 | — |
| LMArena Japanese | 1382 | — |
| LMArena Korean | 1406 | — |
| LMArena Russian | 1446 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Not comparable
ERNIE 5.0 0110: 74.5 (#92), Qwen3-1.7B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1413 | — |
Long Context Not comparable
ERNIE 5.0 0110: 43.4 (#95), Qwen3-1.7B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1422 | — |
Writing & Preference Not comparable
ERNIE 5.0 0110: 63.1 (#66), Qwen3-1.7B: —
| Benchmark | ERNIE 5.0 0110 | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1445 | — |
| LMArena Creative Writing | 1426 | — |
| LMArena Multi-Turn | 1434 | — |
Frequently asked questions
Is ERNIE 5.0 0110 better than Qwen3-1.7B?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 26.6 on the Noometry Index.
How many benchmarks do ERNIE 5.0 0110 and Qwen3-1.7B share?
0 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Qwen3-1.7B has 4.