MiniMax M1 vs Qwen3 32B
MiniMax M1 leads Qwen3 32B on the Artificial Analysis Intelligence Index, 11.7 to 7.3, and Qwen3 32B costs 5.5x less per output token ($0.40 vs $2.20 per million). Updated October 22, 2026; 24 benchmarks have a result for both.
MiniMax M1 or Qwen3 32B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick MiniMax M1 for a larger context window (1M against 131K tokens) and work measured by LMArena Text: software and IT or LMArena Text: expert, where it leads.
- Shared results
- 24
- MiniMax M1 only
- 5
- Qwen3 32B only
- 21
- Like-for-like categories
- 6 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
MiniMax M1
MiniMax M1 leads, 11.7 against 7.3.
Same board, both measured
Long documents
Listed context window
MiniMax M1
MiniMax M1 takes 1M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 32B
MiniMax M1 $0.0015, Qwen3 32B $0.0003 per turn.
List prices
At a glance
- Coding index
- MiniMax M1 not benchmarked, Qwen3 32B not benchmarked.
- Widest category
- Math, 7.9 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMArena Text: mathematical work: MiniMax M1 1363 against Qwen3 32B 1420, 9.5 points apart on a 0 to 100 scale.
- Output price
- MiniMax M1 $2.20 against Qwen3 32B $0.40 per million output tokens, 5.5x apart.
- Context window
- MiniMax M1 takes 1M tokens, Qwen3 32B 131K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | MiniMax M1 | Bars | Qwen3 32B | Ties |
|---|---|---|---|---|
| Coding | 1 | 1 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 2 | 1 | ||
| Math | 0 | 2 | ||
| Knowledge | 2 | 2 | ||
| General | 11 | 1 | ||
| All shared boards | 17 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
| Benchmark | MiniMax M1 | Qwen3 32B | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 40.0% | Only Qwen3 32B measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 54.6% | Only Qwen3 32B measured |
| SciCode | Not measured | 36.0% | Only Qwen3 32B measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 3.0% | Only Qwen3 32B measured |
| LMArena Text: coding | 1359 | 1357 | MiniMax M1 |
| LMArena Text: software and IT | 1359 | 1366 | Qwen3 32B |
| Neither model has a result on the other 33 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | MiniMax M1 | Qwen3 32B | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.7 | 7.3 | MiniMax M1 |
| Epoch Capabilities Index | Not measured | 138.4 | Only Qwen3 32B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | MiniMax M1 | Qwen3 32B | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 29.8% | Only Qwen3 32B measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 48.7% | Only Qwen3 32B measured |
| BrowseComp-Plus | Not measured | 10.7% | Only Qwen3 32B measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | MiniMax M1 | Qwen3 32B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 66.8% | Only Qwen3 32B measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 7.4% | Only Qwen3 32B measured |
| GPQA Diamond (Epoch AI run) | Not measured | 65.7% | Only Qwen3 32B measured |
| LMArena Text: hard prompts | 1339 | 1334 | MiniMax M1 |
| LMArena Text: expert | 1317 | 1362 | Qwen3 32B |
| LMArena Text: hard prompts in English | 1353 | 1350 | MiniMax M1 |
| Kagi LLM Benchmark | Not measured | 48.7% | Only Qwen3 32B measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | MiniMax M1 | Qwen3 32B | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 73.0 | Only Qwen3 32B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 73.0% | Only Qwen3 32B measured |
| OTIS Mock AIME | Not measured | 66.9% | Only Qwen3 32B measured |
| LMArena Text: math | 1361 | 1399 | Qwen3 32B |
| LMArena Text: mathematical work | 1363 | 1420 | Qwen3 32B |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | MiniMax M1 | Qwen3 32B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 79.8% | Only Qwen3 32B measured |
| LMArena Text: science | 1354 | 1372 | Qwen3 32B |
| LMArena Text: medicine and healthcare | 1355 | 1368 | Qwen3 32B |
| LMArena Text: legal and government | 1337 | 1324 | MiniMax M1 |
| LMArena Text: business and finance | 1319 | 1318 | MiniMax M1 |
| Neither model has a result on the other 13 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiniMax M1 | Qwen3 32B | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index111
| Benchmark | MiniMax M1 | Qwen3 32B | Leader |
|---|---|---|---|
| IFBench | Not measured | 36.3% | Only Qwen3 32B measured |
| Long context reasoning (AA-LCR) | Not measured | 0.0% | Only Qwen3 32B measured |
| DTBench | Not measured | 67.5% | Only Qwen3 32B measured |
| LMCA | Not measured | 17.3% | Only Qwen3 32B measured |
| Fiction.LiveBench | Not measured | 74.2% | Only Qwen3 32B measured |
| LMArena Text | 1343 | 1340 | MiniMax M1 |
| LMArena Text: instruction following | 1312 | 1305 | MiniMax M1 |
| LMArena Text: creative writing | 1297 | 1297 | MiniMax M1 |
| LMArena Text: English | 1363 | 1359 | MiniMax M1 |
| LMArena Text: non-English | 1319 | 1317 | MiniMax M1 |
| LMArena Text: Chinese | 1360 | 1357 | MiniMax M1 |
| LMArena Text: German | 1350 | 1341 | MiniMax M1 |
| LMArena Text: Japanese | 1217 | Not measured | Only MiniMax M1 measured |
| LMArena Text: Korean | 1266 | Not measured | Only MiniMax M1 measured |
| LMArena Text: French | 1370 | Not measured | Only MiniMax M1 measured |
| LMArena Text: Spanish | 1353 | Not measured | Only MiniMax M1 measured |
| LMArena Text: Russian | 1329 | 1311 | MiniMax M1 |
| LMArena Text: Polish | 1329 | Not measured | Only MiniMax M1 measured |
| LMArena Text: multi-turn | 1335 | 1331 | MiniMax M1 |
| LMArena Text: longer queries | 1326 | 1327 | Qwen3 32B |
| LMArena Text: writing and language | 1311 | 1298 | MiniMax M1 |
| LMArena Text: entertainment and media | 1303 | 1279 | MiniMax M1 |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiniMax M1 | Qwen3 32B | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Qwen3 32B costs less
Repository review
50K input + 3K output tokens
Qwen3 32B costs less
Agent loop
200K input + 10K output tokens
Qwen3 32B costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | MiniMax M1 | Qwen3 32B |
|---|---|---|
| Maker | MiniMax | Qwen |
| Weights | No public weights listed | Open weights |
| Released | June 17, 2025 | April 28, 2025 |
| Context window | 1M | 131K |
| Input $/Mtok | $0.40 | $0.14 |
| Output $/Mtok | $2.20 | $0.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M1 better than Qwen3 32B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick MiniMax M1 for a larger context window (1M against 131K tokens) and work measured by LMArena Text: software and IT or LMArena Text: expert, where it leads.
Which is cheaper, MiniMax M1 or Qwen3 32B?
MiniMax M1 costs $0.40 per million input tokens and $2.20 per million output tokens; Qwen3 32B costs $0.14 and $0.40. Cost per solved task is known for neither of them.
Which has the bigger context window, MiniMax M1 or Qwen3 32B?
MiniMax M1, with 1M tokens against 131K.
How many benchmarks is the MiniMax M1 vs Qwen3 32B comparison based on?
24 benchmarks have a result for both models as of October 22, 2026. MiniMax M1's coding index rests on 0 independent benchmarks and Qwen3 32B's on 0. Where only one model has a result, the page says so instead of naming a winner.