Nova Pro 1.0 vs MiniMax M2
MiniMax M2 leads Nova Pro 1.0 on the Artificial Analysis Intelligence Index, 18.6 to 7.0, and MiniMax M2 costs 3.1x less per output token ($1.02 vs $3.20 per million). Updated October 21, 2026; 37 benchmarks have a result for both.
Nova Pro 1.0 or MiniMax M2: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nova Pro 1.0 for a larger context window (300K against 205K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
- Shared results
- 37
- Nova Pro 1.0 only
- 5
- MiniMax M2 only
- 13
- Like-for-like categories
- 8 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 7.0.
Same board, both measured
Web design
Design Arena: websites
MiniMax M2
MiniMax M2 leads, 1143 against 796.
Same board, both measured
Long documents
Listed context window
Nova Pro 1.0
Nova Pro 1.0 takes 300K tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2
Nova Pro 1.0 $0.0024, MiniMax M2 $0.0008 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
- Nova Pro 1.0 not benchmarked, MiniMax M2 not benchmarked.
- Widest category
- Agentic work, 72.8 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Nova Pro 1.0 14.0% against MiniMax M2 86.8%, 72.8 points apart on a 0 to 100 scale.
- Output price
- Nova Pro 1.0 $3.20 against MiniMax M2 $1.02 per million output tokens, 3.1x apart.
- Context window
- Nova Pro 1.0 takes 300K tokens, MiniMax M2 205K.
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 | Nova Pro 1.0 | Bars | MiniMax M2 | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 4 | ||
| Knowledge | 0 | 5 | ||
| Web design | 0 | 1 | ||
| General | 0 | 16 | ||
| All shared boards | 0 | 37 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Nova Pro 1.0 | MiniMax M2 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 61.0% | Only MiniMax M2 measured |
| LMArena WebDev | Not measured | 1297 | Only MiniMax M2 measured |
| LiveCodeBench (Artificial Analysis run) | 23.3% | 82.6% | MiniMax M2 |
| Terminal-Bench Hard (Artificial Analysis run) | 6.1% | 25.8% | MiniMax M2 |
| Terminal-Bench | Not measured | 30.0% | Only MiniMax M2 measured |
| LMArena Text: coding | 1270 | 1371 | MiniMax M2 |
| LMArena Text: software and IT | 1271 | 1373 | MiniMax M2 |
| LMArena WebDev: HTML | Not measured | 1306 | Only MiniMax M2 measured |
| Neither model has a result on the other 31 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Pro 1.0 | MiniMax M2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.0 | 18.6 | MiniMax M2 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Pro 1.0 | MiniMax M2 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 14.0% | 86.8% | MiniMax M2 |
| Vending-Bench 2 | Not measured | $161 | 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 index05
| Benchmark | Nova Pro 1.0 | MiniMax M2 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 49.9% | 77.7% | MiniMax M2 |
| Humanity's Last Exam (Artificial Analysis run) | 3.2% | 13.7% | MiniMax M2 |
| LMArena Text: hard prompts | 1246 | 1357 | MiniMax M2 |
| LMArena Text: expert | 1211 | 1338 | MiniMax M2 |
| LMArena Text: hard prompts in English | 1259 | 1376 | MiniMax M2 |
| Kagi LLM Benchmark | Not measured | 57.8% | Only MiniMax M2 measured |
| Neither model has a result on the other 16 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Nova Pro 1.0 | MiniMax M2 | Leader |
|---|---|---|---|
| AA Math Index | 7.0 | 78.3 | MiniMax M2 |
| AIME 2025 (Artificial Analysis run) | 7.0% | 78.3% | MiniMax M2 |
| LMArena Text: math | 1252 | 1351 | MiniMax M2 |
| LMArena Text: mathematical work | 1261 | 1368 | MiniMax M2 |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Nova Pro 1.0 | MiniMax M2 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 69.1% | 82.0% | MiniMax M2 |
| MMLU | 82.0% | Not measured | Only Nova Pro 1.0 measured |
| LMArena Text: science | 1255 | 1348 | MiniMax M2 |
| LMArena Text: medicine and healthcare | 1260 | 1367 | MiniMax M2 |
| LMArena Text: legal and government | 1281 | 1349 | MiniMax M2 |
| LMArena Text: business and finance | 1229 | 1336 | MiniMax M2 |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Pro 1.0 | MiniMax M2 | Leader |
|---|---|---|---|
| Design Arena: websites | 796 | 1143 | MiniMax M2 |
| Design Arena: UI components | Not measured | 1136 | Only MiniMax M2 measured |
| Design Arena: game dev | Not measured | 1118 | Only MiniMax M2 measured |
| Design Arena: data viz | Not measured | 1140 | Only MiniMax M2 measured |
| Design Arena: 3D | Not measured | 1098 | Only MiniMax M2 measured |
| Design Arena: all code categories | Not measured | 1135 | Only MiniMax M2 measured |
| Design Arena: SVG | Not measured | 1100 | 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 index016
| Benchmark | Nova Pro 1.0 | MiniMax M2 | Leader |
|---|---|---|---|
| IFBench | 38.1% | 72.3% | MiniMax M2 |
| Long context reasoning (AA-LCR) | 21.0% | 64.3% | MiniMax M2 |
| LMArena Text | 1259 | 1340 | MiniMax M2 |
| LMArena Text: instruction following | 1235 | 1329 | MiniMax M2 |
| LMArena Text: creative writing | 1212 | 1286 | MiniMax M2 |
| LMArena Vision | 980 | Not measured | Only Nova Pro 1.0 measured |
| LMArena Text: English | 1276 | 1364 | MiniMax M2 |
| LMArena Text: non-English | 1233 | 1313 | MiniMax M2 |
| LMArena Text: Chinese | 1244 | 1366 | MiniMax M2 |
| LMArena Text: German | 1243 | 1357 | MiniMax M2 |
| LMArena Text: Japanese | 1200 | Not measured | Only Nova Pro 1.0 measured |
| LMArena Text: Korean | 1203 | Not measured | Only Nova Pro 1.0 measured |
| LMArena Text: French | 1271 | 1336 | MiniMax M2 |
| LMArena Text: Spanish | 1182 | 1326 | MiniMax M2 |
| LMArena Text: Russian | 1240 | 1330 | MiniMax M2 |
| LMArena Text: Polish | Not measured | 1312 | Only MiniMax M2 measured |
| LMArena Text: multi-turn | 1246 | 1361 | MiniMax M2 |
| LMArena Text: longer queries | 1255 | 1331 | MiniMax M2 |
| LMArena Text: writing and language | 1247 | 1295 | MiniMax M2 |
| LMArena Text: entertainment and media | 1210 | 1298 | MiniMax M2 |
| LMArena Vision: English | 987 | Not measured | Only Nova Pro 1.0 measured |
| Neither model has a result on the other 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Pro 1.0 | MiniMax M2 | 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 | Amazon Nova Pro 1.0 | MiniMax M2 |
|---|---|---|
| Maker | Amazon | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | December 5, 2024 | October 23, 2025 |
| Context window | 300K | 205K |
| Input $/Mtok | $0.80 | $0.255 |
| Output $/Mtok | $3.20 | $1.02 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | $0.702 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nova Pro 1.0 better than MiniMax M2 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Pro 1.0 for a larger context window (300K against 205K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
Which is cheaper, Nova Pro 1.0 or MiniMax M2?
Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Cost per solved task is known for MiniMax M2 only.
Which has the bigger context window, Nova Pro 1.0 or MiniMax M2?
Nova Pro 1.0, with 300K tokens against 205K.
How many benchmarks is the Nova Pro 1.0 vs MiniMax M2 comparison based on?
37 benchmarks have a result for both models as of October 21, 2026. Nova Pro 1.0's coding index rests on 0 independent benchmarks and MiniMax M2's on 1. Where only one model has a result, the page says so instead of naming a winner.