MiniMax M2 vs o3 Mini
MiniMax M2 leads o3 Mini on the Artificial Analysis Intelligence Index, 18.6 to 12.5, and MiniMax M2 costs 4.3x less per output token ($1.02 vs $4.40 per million). Updated October 22, 2026; 36 benchmarks have a result for both.
MiniMax M2 or o3 Mini: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick MiniMax M2 for output tokens 4.3x cheaper ($1.02 vs $4.40 per million) and a larger context window (205K against 200K tokens).
- Shared results
- 36
- MiniMax M2 only
- 14
- o3 Mini only
- 35
- Like-for-like categories
- 7 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 M2
MiniMax M2 leads, 18.6 against 12.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only o3 Mini has a GPQA Diamond result, 75.5%.
Directional only
Math
AIME
No call
Only o3 Mini has a AIME result, 86.5%.
Directional only
Knowledge
MMLU Pro
No call
Only o3 Mini has a MMLU Pro result, 78.7%.
Directional only
Web design
Design Arena: websites
No call
Only MiniMax M2 has a Design Arena: websites result, 1143.
Directional only
Long documents
Listed context window
MiniMax M2
MiniMax M2 takes 205K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2
MiniMax M2 $0.0008, o3 Mini $0.0033 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M2 has the number, $0.702.
Directional only
At a glance
- Coding index
- MiniMax M2 not benchmarked, o3 Mini not benchmarked.
- Widest category
- Agentic work, 55.6 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: MiniMax M2 86.8% against o3 Mini 31.3%, 55.6 points apart on a 0 to 100 scale.
- Output price
- MiniMax M2 $1.02 against o3 Mini $4.40 per million output tokens, 4.3x apart.
- Context window
- MiniMax M2 takes 205K tokens, o3 Mini 200K.
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 M2 | Bars | o3 Mini | Ties |
|---|---|---|---|---|
| Coding | 4 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 5 | 0 | ||
| General | 12 | 5 | ||
| All shared boards | 26 | 10 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
| Benchmark | MiniMax M2 | o3 Mini | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 60.4% | Only o3 Mini measured |
| SWE-bench Verified | 61.0% | 42.4% | MiniMax M2 |
| SWE-bench Lite | Not measured | 32.3% | Only o3 Mini measured |
| LMArena WebDev | 1297 | Not measured | Only MiniMax M2 measured |
| LiveCodeBench (Vals AI) | Not measured | 71.5% | Only o3 Mini measured |
| LiveCodeBench (Artificial Analysis run) | 82.6% | 73.4% | MiniMax M2 |
| SciCode | Not measured | 42.8% | Only o3 Mini measured |
| Terminal-Bench Hard (Artificial Analysis run) | 25.8% | 6.8% | MiniMax M2 |
| Terminal-Bench | 30.0% | Not measured | Only MiniMax M2 measured |
| GSO-Bench | Not measured | 1.3% | Only o3 Mini measured |
| WeirdML | Not measured | 43.7% | Only o3 Mini measured |
| Cybench | Not measured | 22.5% | Only o3 Mini measured |
| LMArena Text: coding | 1371 | 1378 | o3 Mini |
| LMArena Text: software and IT | 1373 | 1364 | MiniMax M2 |
| LMArena WebDev: HTML | 1306 | Not measured | Only MiniMax M2 measured |
| SciCode | Not measured | 7.7% | Only o3 Mini measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | MiniMax M2 | o3 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 18.6 | 12.5 | MiniMax M2 |
| Epoch Capabilities Index | Not measured | 140.2 | Only o3 Mini measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | MiniMax M2 | o3 Mini | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 86.8% | 31.3% | MiniMax M2 |
| Vending-Bench 2 | $161 | Not measured | Only MiniMax M2 measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | MiniMax M2 | o3 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 75.5% | Only o3 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 77.7% | 77.3% | MiniMax M2 |
| Humanity's Last Exam (Artificial Analysis run) | 13.7% | 12.0% | MiniMax M2 |
| GPQA Diamond (Epoch AI run) | Not measured | 77.0% | Only o3 Mini measured |
| ARC-AGI | Not measured | 34.5% | Only o3 Mini measured |
| ARC-AGI-2 | Not measured | 3.0% | Only o3 Mini measured |
| SimpleBench | Not measured | 22.8% | Only o3 Mini measured |
| Chess puzzles | Not measured | 15.0% | Only o3 Mini measured |
| Mystery game puzzles | Not measured | 7.0% | Only o3 Mini measured |
| LMArena Text: hard prompts | 1357 | 1365 | o3 Mini |
| LMArena Text: expert | 1338 | 1364 | o3 Mini |
| LMArena Text: hard prompts in English | 1376 | 1375 | MiniMax M2 |
| Kagi LLM Benchmark | 57.8% | Not measured | Only MiniMax M2 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | MiniMax M2 | o3 Mini | Leader |
|---|---|---|---|
| AIME | Not measured | 86.5% | Only o3 Mini measured |
| MATH 500 (Vals AI) | Not measured | 91.8% | Only o3 Mini measured |
| MGSM (Vals AI) | Not measured | 91.3% | Only o3 Mini measured |
| AA Math Index | 78.3 | Not measured | Only MiniMax M2 measured |
| AIME 2025 (Artificial Analysis run) | 78.3% | Not measured | Only MiniMax M2 measured |
| OTIS Mock AIME | Not measured | 76.9% | Only o3 Mini measured |
| FrontierMath, tiers 1 to 3 | Not measured | 18.6% | Only o3 Mini measured |
| FrontierMath, tier 4 | Not measured | 0.0% | Only o3 Mini measured |
| MATH level 5 | Not measured | 96.5% | Only o3 Mini measured |
| LMArena Text: math | 1351 | 1396 | o3 Mini |
| LMArena Text: mathematical work | 1368 | 1399 | o3 Mini |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | MiniMax M2 | o3 Mini | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 78.7% | Only o3 Mini measured |
| LegalBench (Vals AI) | Not measured | 71.5% | Only o3 Mini measured |
| CorpFin (Vals AI) | Not measured | 45.3% | Only o3 Mini measured |
| TaxEval (Vals AI) | Not measured | 69.4% | Only o3 Mini measured |
| MedQA (Vals AI) | Not measured | 94.8% | Only o3 Mini measured |
| MMLU Pro (Artificial Analysis run) | 82.0% | 80.2% | MiniMax M2 |
| SimpleQA Verified | Not measured | 15.3% | Only o3 Mini measured |
| LMArena Text: science | 1348 | 1339 | MiniMax M2 |
| LMArena Text: medicine and healthcare | 1367 | 1330 | MiniMax M2 |
| LMArena Text: legal and government | 1349 | 1328 | MiniMax M2 |
| LMArena Text: business and finance | 1336 | 1313 | MiniMax M2 |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | MiniMax M2 | o3 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 1143 | Not measured | Only MiniMax M2 measured |
| Design Arena: UI components | 1137 | Not measured | Only MiniMax M2 measured |
| Design Arena: game dev | 1118 | Not measured | Only MiniMax M2 measured |
| Design Arena: data viz | 1140 | Not measured | Only MiniMax M2 measured |
| Design Arena: 3D | 1098 | Not measured | Only MiniMax M2 measured |
| Design Arena: all code categories | 1135 | Not measured | Only MiniMax M2 measured |
| Design Arena: SVG | 1100 | Not measured | Only MiniMax M2 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index125
| Benchmark | MiniMax M2 | o3 Mini | Leader |
|---|---|---|---|
| IFBench | 72.3% | 67.1% | MiniMax M2 |
| Long context reasoning (AA-LCR) | 64.3% | 43.0% | MiniMax M2 |
| DTBench | Not measured | 68.8% | Only o3 Mini measured |
| LMCA | Not measured | 19.0% | Only o3 Mini measured |
| Fiction.LiveBench | Not measured | 50.0% | Only o3 Mini measured |
| Creative writing (Lech Mazur) | Not measured | 61.7% | Only o3 Mini measured |
| LMArena Text | 1340 | 1337 | MiniMax M2 |
| LMArena Text: instruction following | 1329 | 1337 | o3 Mini |
| LMArena Text: creative writing | 1286 | 1286 | MiniMax M2 |
| LMArena Text: English | 1364 | 1351 | MiniMax M2 |
| LMArena Text: non-English | 1313 | 1319 | o3 Mini |
| LMArena Text: Chinese | 1366 | 1379 | o3 Mini |
| LMArena Text: German | 1357 | 1303 | MiniMax M2 |
| LMArena Text: Japanese | Not measured | 1286 | Only o3 Mini measured |
| LMArena Text: Korean | Not measured | 1313 | Only o3 Mini measured |
| LMArena Text: French | 1336 | 1334 | MiniMax M2 |
| LMArena Text: Spanish | 1326 | 1321 | MiniMax M2 |
| LMArena Text: Russian | 1330 | 1304 | MiniMax M2 |
| LMArena Text: Polish | 1312 | 1294 | MiniMax M2 |
| LMArena Text: multi-turn | 1361 | 1320 | MiniMax M2 |
| LMArena Text: longer queries | 1331 | 1343 | o3 Mini |
| LMArena Text: writing and language | 1295 | 1313 | o3 Mini |
| LMArena Text: entertainment and media | 1298 | 1283 | MiniMax M2 |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiniMax M2 | o3 Mini | 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
MiniMax M2 costs less
Repository review
50K input + 3K output tokens
MiniMax M2 costs less
Agent loop
200K input + 10K output tokens
MiniMax M2 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 M2 | OpenAI o3 Mini |
|---|---|---|
| Maker | MiniMax | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | October 23, 2025 | January 31, 2025 |
| Context window | 205K | 200K |
| Input $/Mtok | $0.255 | $1.10 |
| Output $/Mtok | $1.02 | $4.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | $0.702 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M2 better than o3 Mini for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick MiniMax M2 for output tokens 4.3x cheaper ($1.02 vs $4.40 per million) and a larger context window (205K against 200K tokens).
Which is cheaper, MiniMax M2 or o3 Mini?
MiniMax M2 costs $0.255 per million input tokens and $1.02 per million output tokens; o3 Mini costs $1.10 and $4.40. Cost per solved task is known for MiniMax M2 only.
Which has the bigger context window, MiniMax M2 or o3 Mini?
MiniMax M2, with 205K tokens against 200K.
How many benchmarks is the MiniMax M2 vs o3 Mini comparison based on?
36 benchmarks have a result for both models as of October 22, 2026. MiniMax M2's coding index rests on 1 independent benchmark and o3 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.