Model comparison
Mercury vs Qwen3.5 27B
Qwen3.5 27B is the stronger model overall, scoring 41.9 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 0 categories and Qwen3.5 27B in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 27B leads 59.3 to 46.2.
- Qwen3.5 27B has downloadable open weights; the other is API-only.
Side by side
| Mercury | Qwen3.5 27B | |
|---|---|---|
| Provider | Inception | Alibaba (Qwen) |
| Noometry Index | 37.6 | 41.9 |
| Released | — | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $2.40 |
| Results tracked | 9 | 28 |
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Category by category
Coding Too close to call
Mercury: 38.7 (#170), Qwen3.5 27B: 38.9 (#168)
| Benchmark | Mercury | Qwen3.5 27B |
|---|---|---|
| LMArena Coding | 1322 | 1427 |
| LMArena WebDev | — | 1358 |
| WeirdML | — | 39.5% |
| ALE-Bench | — | 349.45 |
Agentic & Tool Use Not comparable
Mercury: —, Qwen3.5 27B: —
| Benchmark | Mercury | Qwen3.5 27B |
|---|---|---|
| Vending-Bench 2 | — | 201.98 |
Reasoning Qwen3.5 27B leads
Mercury: 17.5 (#293), Qwen3.5 27B: 27.5 (#117)
| Benchmark | Mercury | Qwen3.5 27B |
|---|---|---|
| LMArena Hard Prompts | 1285 | 1414 |
| Kagi LLM Benchmark | 21.6% | — |
| NYT Connections (extended) | — | 47.9% |
| Thematic Generalization | — | 45.5% |
| DTBench | — | 82.4% |
| LMCA | — | 34% |
Math Not comparable
Mercury: —, Qwen3.5 27B: 38.8 (#127)
| Benchmark | Mercury | Qwen3.5 27B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 56.7% |
| LMArena Math | — | 1429 |
Knowledge Not comparable
Mercury: —, Qwen3.5 27B: 38.0 (#150)
| Benchmark | Mercury | Qwen3.5 27B |
|---|---|---|
| Vectara Hallucination Rate | — | 12.1% |
| LMArena Expert | — | 1428 |
Multimodal Not comparable
Mercury: —, Qwen3.5 27B: 39.4 (#59)
| Benchmark | Mercury | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | — | 1241 |
Multilingual Qwen3.5 27B leads
Mercury: 41.6 (#206), Qwen3.5 27B: 50.8 (#115)
| Benchmark | Mercury | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | 1260 | 1390 |
| LMArena Chinese | — | 1478 |
| LMArena French | — | 1410 |
| LMArena German | — | 1393 |
| LMArena Japanese | — | 1345 |
| LMArena Korean | — | 1358 |
| LMArena Russian | — | 1390 |
| LMArena Spanish | — | 1407 |
Instruction Following Qwen3.5 27B leads
Mercury: 65.2 (#224), Qwen3.5 27B: 73.5 (#119)
| Benchmark | Mercury | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1393 |
Long Context Qwen3.5 27B leads
Mercury: 38.4 (#198), Qwen3.5 27B: 43.1 (#106)
| Benchmark | Mercury | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | 1266 | 1413 |
Writing & Preference Qwen3.5 27B leads
Mercury: 46.2 (#221), Qwen3.5 27B: 59.3 (#111)
| Benchmark | Mercury | Qwen3.5 27B |
|---|---|---|
| LMArena Text | 1282 | 1409 |
| LMArena Creative Writing | 1191 | 1362 |
| LMArena Multi-Turn | 1282 | 1410 |
Frequently asked questions
Is Mercury better than Qwen3.5 27B?
Qwen3.5 27B is the stronger model overall, scoring 41.9 to 37.6 on the Noometry Index.
Is Mercury or Qwen3.5 27B better for coding?
They score almost the same on coding (38.7 vs 38.9); test both on your own repository before choosing.
How many benchmarks do Mercury and Qwen3.5 27B share?
8 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Qwen3.5 27B has 28.