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Nova Premier 1.0 vs MiniMax M2

MiniMax M2 leads Nova Premier 1.0 on the Artificial Analysis Intelligence Index, 18.6 to 9.2, and MiniMax M2 costs 12.3x less per output token ($1.02 vs $12.50 per million). Updated October 22, 2026; 13 benchmarks have a result for both.

Nova Premier 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$12.50
0
MiniMax M2MiniMax
Coding
No data
Overall
No data
Output $/M
$1.02
13
vs boards won of 13 shared

Nova Premier 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 Premier 1.0 for a larger context window (1M against 205K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Shared results
13
Nova Premier 1.0 only
1
MiniMax M2 only
37
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.

At a glance

Coding index
Nova Premier 1.0 not benchmarked, MiniMax M2 not benchmarked.
Widest category
Math, 61.0 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: Nova Premier 1.0 17.3 against MiniMax M2 78.3, 61.0 points apart on a 0 to 100 scale.
Output price
Nova Premier 1.0 $12.50 against MiniMax M2 $1.02 per million output tokens, 12.3x apart.
Context window
Nova Premier 1.0 takes 1M 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.

Boards won, where both have a result
CategoryNova Premier 1.0BarsMiniMax M2Ties
Coding02
Intelligence01
Agentic work01
Reasoning03
Math02
Knowledge01
Web design01
General02
All shared boards013
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Nova Premier 1.0 and MiniMax M2
BenchmarkNova Premier 1.0MiniMax M2Leader
SWE-bench VerifiedNot measured61.0%Only MiniMax M2 measured
LMArena WebDevNot measured1297Only MiniMax M2 measured
LiveCodeBench (Artificial Analysis run)31.7%82.6%MiniMax M2
Terminal-Bench Hard (Artificial Analysis run)6.8%25.8%MiniMax M2
Terminal-BenchNot measured30.0%Only MiniMax M2 measured
ALE-Bench147.4Not measuredOnly Nova Premier 1.0 measured
LMArena Text: codingNot measured1371Only MiniMax M2 measured
LMArena Text: software and ITNot measured1373Only MiniMax M2 measured
LMArena WebDev: HTMLNot measured1306Only MiniMax M2 measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Premier 1.0 and MiniMax M2
BenchmarkNova Premier 1.0MiniMax M2Leader
AA Intelligence Index9.218.6MiniMax 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
Agentic work benchmarks for Nova Premier 1.0 and MiniMax M2
BenchmarkNova Premier 1.0MiniMax M2Leader
τ²-Bench Telecom38.3%86.8%MiniMax M2
Vending-Bench 2Not measured$161Only 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 index03
Reasoning benchmarks for Nova Premier 1.0 and MiniMax M2
BenchmarkNova Premier 1.0MiniMax M2Leader
GPQA Diamond (Artificial Analysis run)56.9%77.7%MiniMax M2
Humanity's Last Exam (Artificial Analysis run)4.2%13.7%MiniMax M2
LMArena Text: hard promptsNot measured1357Only MiniMax M2 measured
LMArena Text: expertNot measured1338Only MiniMax M2 measured
LMArena Text: hard prompts in EnglishNot measured1376Only MiniMax M2 measured
Kagi LLM Benchmark44.8%57.8%MiniMax M2
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nova Premier 1.0 and MiniMax M2
BenchmarkNova Premier 1.0MiniMax M2Leader
AA Math Index17.378.3MiniMax M2
AIME 2025 (Artificial Analysis run)17.3%78.3%MiniMax M2
LMArena Text: mathNot measured1351Only MiniMax M2 measured
LMArena Text: mathematical workNot measured1368Only MiniMax M2 measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for Nova Premier 1.0 and MiniMax M2
BenchmarkNova Premier 1.0MiniMax M2Leader
MMLU Pro (Artificial Analysis run)73.3%82.0%MiniMax M2
LMArena Text: scienceNot measured1348Only MiniMax M2 measured
LMArena Text: medicine and healthcareNot measured1367Only MiniMax M2 measured
LMArena Text: legal and governmentNot measured1349Only MiniMax M2 measured
LMArena Text: business and financeNot measured1336Only MiniMax M2 measured
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Nova Premier 1.0 and MiniMax M2
BenchmarkNova Premier 1.0MiniMax M2Leader
Design Arena: websites8351143MiniMax M2
Design Arena: UI componentsNot measured1137Only MiniMax M2 measured
Design Arena: game devNot measured1118Only MiniMax M2 measured
Design Arena: data vizNot measured1140Only MiniMax M2 measured
Design Arena: 3DNot measured1098Only MiniMax M2 measured
Design Arena: all code categoriesNot measured1135Only MiniMax M2 measured
Design Arena: SVGNot measured1100Only 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 index02
General benchmarks for Nova Premier 1.0 and MiniMax M2
BenchmarkNova Premier 1.0MiniMax M2Leader
IFBench36.2%72.3%MiniMax M2
Long context reasoning (AA-LCR)34.3%64.3%MiniMax M2
LMArena TextNot measured1340Only MiniMax M2 measured
LMArena Text: instruction followingNot measured1329Only MiniMax M2 measured
LMArena Text: creative writingNot measured1286Only MiniMax M2 measured
LMArena Text: EnglishNot measured1364Only MiniMax M2 measured
LMArena Text: non-EnglishNot measured1313Only MiniMax M2 measured
LMArena Text: ChineseNot measured1366Only MiniMax M2 measured
LMArena Text: GermanNot measured1357Only MiniMax M2 measured
LMArena Text: FrenchNot measured1336Only MiniMax M2 measured
LMArena Text: SpanishNot measured1326Only MiniMax M2 measured
LMArena Text: RussianNot measured1330Only MiniMax M2 measured
LMArena Text: PolishNot measured1312Only MiniMax M2 measured
LMArena Text: multi-turnNot measured1361Only MiniMax M2 measured
LMArena Text: longer queriesNot measured1331Only MiniMax M2 measured
LMArena Text: writing and languageNot measured1295Only MiniMax M2 measured
LMArena Text: entertainment and mediaNot measured1298Only MiniMax M2 measured
Neither model has a result on the other 29 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova Premier 1.0 and MiniMax M2
BenchmarkNova Premier 1.0MiniMax M2Leader
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

Nova Premier 1.0$0.0088Fits in one request
MiniMax M2$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

Nova Premier 1.0$0.163Fits in one request
MiniMax M2$0.016Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

Nova Premier 1.0$0.625Fits in one request
MiniMax M2$0.061Exceeds the context window

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.

Specifications of Nova Premier 1.0 and MiniMax M2
SpecificationAmazon Nova Premier 1.0MiniMax M2
MakerAmazonMiniMax
WeightsNo public weights listedOpen weights
ReleasedOctober 31, 2025October 23, 2025
Context window1M205K
Input $/Mtok$2.50$0.255
Output $/Mtok$12.50$1.02
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.702
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Premier 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 Premier 1.0 for a larger context window (1M 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 Premier 1.0 or MiniMax M2?

Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 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 Premier 1.0 or MiniMax M2?

Nova Premier 1.0, with 1M tokens against 205K.

How many benchmarks is the Nova Premier 1.0 vs MiniMax M2 comparison based on?

13 benchmarks have a result for both models as of October 22, 2026. Nova Premier 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.

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