Model comparison
MiniMax-M2.1 vs Qwen3-30B-A3B
MiniMax-M2.1 and Qwen3-30B-A3B score almost the same on the Noometry Index (38.9 vs 38.9), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. MiniMax-M2.1 scores higher in 6 categories and Qwen3-30B-A3B in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where MiniMax-M2.1 leads 43.2 to 31.0.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.1.
- MiniMax-M2.1 accepts more context: 205K tokens versus 41K.
Side by side
| MiniMax-M2.1 | Qwen3-30B-A3B | |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 38.9 | 38.9 |
| Released | 2025-12-23 | 2025-04-28 |
| Weights | Open | Open |
| Context window | 205K | 41K |
| Max output | 131K | 16K |
| Input $ / M tokens | $0.30 | $0.12 |
| Output $ / M tokens | $1.20 | $0.50 |
| Results tracked | 22 | 32 |
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Category by category
Coding MiniMax-M2.1 leads
MiniMax-M2.1: 40.4 (#143), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | MiniMax-M2.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1421 | 1416 |
| LMArena WebDev | 1384 | — |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| ALE-Bench | 623.83 | — |
Agentic & Tool Use Qwen3-30B-A3B leads
MiniMax-M2.1: 27.9 (#98), Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | MiniMax-M2.1 | Qwen3-30B-A3B |
|---|---|---|
| Terminal-Bench | 36.6% | — |
| Berkeley Function Calling Leaderboard | — | 41.4% |
Reasoning Qwen3-30B-A3B leads
MiniMax-M2.1: 16.6 (#302), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | MiniMax-M2.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Hard Prompts | 1411 | 1398 |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 11.2% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| Epoch Capabilities Index | — | 139.63 |
Math Too close to call
MiniMax-M2.1: 38.3 (#138), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | MiniMax-M2.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1397 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
Knowledge Qwen3-30B-A3B leads
MiniMax-M2.1: 38.3 (#147), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | MiniMax-M2.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Expert | 1431 | 1396 |
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
| Vectara Hallucination Rate | 11.8% | — |
Multilingual Too close to call
MiniMax-M2.1: 50.0 (#128), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | MiniMax-M2.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1378 | 1372 |
| LMArena Chinese | 1430 | 1433 |
| LMArena French | 1404 | 1418 |
| LMArena German | 1381 | 1380 |
| LMArena Japanese | 1287 | 1337 |
| LMArena Korean | 1298 | 1331 |
| LMArena Russian | 1387 | 1370 |
| LMArena Spanish | 1397 | 1404 |
Instruction Following MiniMax-M2.1 leads
MiniMax-M2.1: 73.8 (#112), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | MiniMax-M2.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1400 | 1363 |
Long Context MiniMax-M2.1 leads
MiniMax-M2.1: 43.2 (#101), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | MiniMax-M2.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1416 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference MiniMax-M2.1 leads
MiniMax-M2.1: 58.3 (#120), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | MiniMax-M2.1 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1392 | 1384 |
| LMArena Creative Writing | 1361 | 1317 |
| LMArena Multi-Turn | 1396 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
Frequently asked questions
Is MiniMax-M2.1 better than Qwen3-30B-A3B?
MiniMax-M2.1 and Qwen3-30B-A3B score almost the same on the Noometry Index (38.9 vs 38.9), so choose on price, context window or the category you care about most.
Which is cheaper, MiniMax-M2.1 or Qwen3-30B-A3B?
Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; MiniMax-M2.1 lists at $0.30 and $1.20.
Is MiniMax-M2.1 or Qwen3-30B-A3B better for coding?
MiniMax-M2.1 scores higher on coding benchmarks: 40.4 versus 37.5 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.1 does, with 205K tokens against 41K.
How many benchmarks do MiniMax-M2.1 and Qwen3-30B-A3B share?
17 benchmarks have published results for both models. MiniMax-M2.1 has 22 scored results on Noometry and Qwen3-30B-A3B has 32.