Model comparison
MiniMax-M2.5 vs Qwen3-30B-A3B
MiniMax-M2.5 and Qwen3-30B-A3B score almost the same on the Noometry Index (38.1 vs 38.5), so choose on price, context window or the category you care about most.
Last verified . 19 shared benchmarks.
MiniMax
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. MiniMax-M2.5 scores higher in 3 categories and Qwen3-30B-A3B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiniMax-M2.5 leads 47.9 to 37.0.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M2.5.
- MiniMax-M2.5 accepts more context: 205K tokens versus 41K.
Side by side
| MiniMax-M2.5 | Qwen3-30B-A3B | |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 38.1 | 38.5 |
| Released | 2026-02-12 | 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 | 33 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiniMax-M2.5 leads
MiniMax-M2.5: 47.9 (#53), Qwen3-30B-A3B: 37.0 (#188)
| Benchmark | MiniMax-M2.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1380 | 1416 |
| SWE-bench Verified (bash only) | 75.8% | — |
| LMArena WebDev | 1386 | — |
| SWE-bench Multilingual | 68.3% | — |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| ALE-Bench | 618.17 | — |
Agentic & Tool Use Too close to call
MiniMax-M2.5: 30.2 (#70), Qwen3-30B-A3B: 29.5 (#75)
| Benchmark | MiniMax-M2.5 | Qwen3-30B-A3B |
|---|---|---|
| Terminal-Bench | 42.7% | — |
| Berkeley Function Calling Leaderboard | — | 41.4% |
| Vending-Bench 2 | -23.16 | — |
Reasoning Qwen3-30B-A3B leads
MiniMax-M2.5: 17.6 (#281), Qwen3-30B-A3B: 21.6 (#193)
| Benchmark | MiniMax-M2.5 | Qwen3-30B-A3B |
|---|---|---|
| Kagi LLM Benchmark | 55.2% | 54.9% |
| LMArena Hard Prompts | 1372 | 1398 |
| Epoch Capabilities Index | 146.68 | 139.63 |
| ARC-AGI-2 | 4.9% | — |
| NYT Connections (extended) | 16.8% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
Math Qwen3-30B-A3B leads
MiniMax-M2.5: 25.8 (#242), Qwen3-30B-A3B: 36.0 (#133)
| Benchmark | MiniMax-M2.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Math | 1378 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| ProofBench | 4% | — |
Knowledge Qwen3-30B-A3B leads
MiniMax-M2.5: 38.6 (#132), Qwen3-30B-A3B: 41.7 (#96)
| Benchmark | MiniMax-M2.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Expert | 1378 | 1395 |
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
| Vectara Hallucination Rate | 9.1% | — |
Multilingual Qwen3-30B-A3B leads
MiniMax-M2.5: 47.3 (#147), Qwen3-30B-A3B: 49.8 (#126)
| Benchmark | MiniMax-M2.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1338 | 1372 |
| LMArena Chinese | 1392 | 1434 |
| LMArena French | 1363 | 1419 |
| LMArena German | 1361 | 1379 |
| LMArena Japanese | 1169 | 1338 |
| LMArena Korean | 1232 | 1333 |
| LMArena Russian | 1359 | 1369 |
| LMArena Spanish | 1354 | 1403 |
Instruction Following Too close to call
MiniMax-M2.5: 71.7 (#143), Qwen3-30B-A3B: 72.2 (#137)
| Benchmark | MiniMax-M2.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1353 | 1364 |
Long Context MiniMax-M2.5 leads
MiniMax-M2.5: 37.4 (#211), Qwen3-30B-A3B: 31.0 (#278)
| Benchmark | MiniMax-M2.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1367 | 1379 |
| Fiction.LiveBench | — | 40.6% |
| CL-bench | 11.4% | — |
| CL-bench Life | 6.3% | — |
Writing & Preference Qwen3-30B-A3B leads
MiniMax-M2.5: 54.1 (#149), Qwen3-30B-A3B: 55.9 (#138)
| Benchmark | MiniMax-M2.5 | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1359 | 1384 |
| LMArena Creative Writing | 1331 | 1318 |
| LMArena Multi-Turn | 1364 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
| EQ-Bench Creative Writing | 1361 | — |
Frequently asked questions
Is MiniMax-M2.5 better than Qwen3-30B-A3B?
MiniMax-M2.5 and Qwen3-30B-A3B score almost the same on the Noometry Index (38.1 vs 38.5), so choose on price, context window or the category you care about most.
Which is cheaper, MiniMax-M2.5 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-M2.5 lists at $0.30 and $1.20.
Is MiniMax-M2.5 or Qwen3-30B-A3B better for coding?
MiniMax-M2.5 scores higher on coding benchmarks: 47.9 versus 37.0 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.5 does, with 205K tokens against 41K.
How many benchmarks do MiniMax-M2.5 and Qwen3-30B-A3B share?
19 benchmarks have published results for both models. MiniMax-M2.5 has 33 scored results on Noometry and Qwen3-30B-A3B has 32.