# Mercury vs Qwen3-30B-A3B

> Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 37.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mercury-vs-qwen3-30b-a3b
- Last updated: 2026-10-12
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Mercury scores higher in 2 categories and Qwen3-30B-A3B in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-30B-A3B leads 55.6 to 46.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 21.6% for Mercury and 54.9% for Qwen3-30B-A3B.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.

## Snapshot

| | Mercury | Qwen3-30B-A3B |
|---|---|---|
| Provider | Inception | Alibaba (Qwen) |
| Noometry Index | 37.6 | 38.9 |
| Rank | 199 | 179 |
| Context | — | 41K |
| Input $/M | — | $0.12 |
| Output $/M | — | $0.50 |
| Weights | Proprietary | Open |

## Coding

- Mercury: 38.7 (#170)
- Qwen3-30B-A3B: 37.5 (#194)

| Benchmark | Mercury | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1322 | 1416 |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |

## Agentic & Tool Use

- Mercury: —
- Qwen3-30B-A3B: 29.8 (#82)

| Benchmark | Mercury | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |

## Reasoning

- Mercury: 17.5 (#293)
- Qwen3-30B-A3B: 22.2 (#204)

| Benchmark | Mercury | Qwen3-30B-A3B |
|---|---|---|
| Kagi LLM Benchmark | 21.6% | 54.9% |
| LMArena Hard Prompts | 1285 | 1398 |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| Epoch Capabilities Index | — | 139.63 |

## Math

- Mercury: —
- Qwen3-30B-A3B: 37.4 (#157)

| Benchmark | Mercury | Qwen3-30B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| LMArena Math | — | 1394 |

## Knowledge

- Mercury: —
- Qwen3-30B-A3B: 41.8 (#105)

| Benchmark | Mercury | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
| LMArena Expert | — | 1396 |

## Multilingual

- Mercury: 41.6 (#206)
- Qwen3-30B-A3B: 49.5 (#132)

| Benchmark | Mercury | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1260 | 1372 |
| LMArena Chinese | — | 1433 |
| LMArena French | — | 1418 |
| LMArena German | — | 1380 |
| LMArena Japanese | — | 1337 |
| LMArena Korean | — | 1331 |
| LMArena Russian | — | 1370 |
| LMArena Spanish | — | 1404 |

## Instruction Following

- Mercury: 65.2 (#224)
- Qwen3-30B-A3B: 72.0 (#142)

| Benchmark | Mercury | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1363 |

## Long Context

- Mercury: 38.4 (#198)
- Qwen3-30B-A3B: 31.0 (#283)

| Benchmark | Mercury | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1266 | 1379 |
| Fiction.LiveBench | — | 40.6% |

## Writing & Preference

- Mercury: 46.2 (#221)
- Qwen3-30B-A3B: 55.6 (#143)

| Benchmark | Mercury | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1282 | 1384 |
| LMArena Creative Writing | 1191 | 1317 |
| LMArena Multi-Turn | 1282 | 1378 |
| Short-Story Creative Writing | — | 75.3% |

## FAQ

### Is Mercury better than Qwen3-30B-A3B?

Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 37.6 on the Noometry Index.

### Is Mercury or Qwen3-30B-A3B better for coding?

Mercury scores higher on coding benchmarks: 38.7 versus 37.5 in the Noometry coding category.

### How many benchmarks do Mercury and Qwen3-30B-A3B share?

9 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Qwen3-30B-A3B has 32.