Model comparison
Mercury vs Qwen3.5 35B-A3B
Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 37.6 on the Noometry Index.
Last verified . 8 shared benchmarks.
Alibaba (Qwen)Summary
- They share 8 benchmarks with published results for both. Mercury scores higher in 1 category and Qwen3.5 35B-A3B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 35B-A3B leads 57.9 to 46.2.
- Qwen3.5 35B-A3B has downloadable open weights; the other is API-only.
Side by side
| Mercury | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | Inception | Alibaba (Qwen) |
| Noometry Index | 37.6 | 42.0 |
| Released | — | 2026-02-01 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $2 |
| Results tracked | 9 | 28 |
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Category by category
Coding Mercury leads
Mercury: 38.7 (#170), Qwen3.5 35B-A3B: 33.8 (#251)
| Benchmark | Mercury | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Coding | 1322 | 1410 |
| LMArena WebDev | — | 1254 |
| SciCode | — | 29.3% |
Reasoning Qwen3.5 35B-A3B leads
Mercury: 17.5 (#293), Qwen3.5 35B-A3B: 24.6 (#161)
| Benchmark | Mercury | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1285 | 1400 |
| Kagi LLM Benchmark | 21.6% | — |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 10% |
| DTBench | — | 80% |
| LMCA | — | 29.5% |
| Epoch Capabilities Index | — | 142.52 |
Math Not comparable
Mercury: —, Qwen3.5 35B-A3B: 39.9 (#97)
| Benchmark | Mercury | Qwen3.5 35B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 56% |
| OTIS Mock AIME 2024-2025 | — | 70% |
| LMArena Math | — | 1404 |
Knowledge Not comparable
Mercury: —, Qwen3.5 35B-A3B: 47.8 (#79)
| Benchmark | Mercury | Qwen3.5 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 83.5% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1408 |
Multilingual Qwen3.5 35B-A3B leads
Mercury: 41.6 (#206), Qwen3.5 35B-A3B: 50.0 (#127)
| Benchmark | Mercury | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | 1260 | 1378 |
| LMArena Chinese | — | 1457 |
| LMArena French | — | 1412 |
| LMArena German | — | 1367 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1356 |
| LMArena Russian | — | 1376 |
| LMArena Spanish | — | 1392 |
Instruction Following Qwen3.5 35B-A3B leads
Mercury: 65.2 (#224), Qwen3.5 35B-A3B: 72.8 (#128)
| Benchmark | Mercury | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1379 |
Long Context Qwen3.5 35B-A3B leads
Mercury: 38.4 (#198), Qwen3.5 35B-A3B: 42.4 (#127)
| Benchmark | Mercury | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | 1266 | 1389 |
Writing & Preference Qwen3.5 35B-A3B leads
Mercury: 46.2 (#221), Qwen3.5 35B-A3B: 57.9 (#124)
| Benchmark | Mercury | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | 1282 | 1395 |
| LMArena Creative Writing | 1191 | 1346 |
| LMArena Multi-Turn | 1282 | 1390 |
Frequently asked questions
Is Mercury better than Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 37.6 on the Noometry Index.
Is Mercury or Qwen3.5 35B-A3B better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 33.8 in the Noometry coding category.
How many benchmarks do Mercury and Qwen3.5 35B-A3B share?
8 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Qwen3.5 35B-A3B has 28.