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Nova Pro 1.0 vs MiniMax M2.7

MiniMax M2.7 leads Nova Pro 1.0 on the Artificial Analysis Intelligence Index, 22.8 to 7.0, and MiniMax M2.7 costs 2.7x less per output token ($1.20 vs $3.20 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace Nova Pro 1.0 Replace MiniMax M2.7
Nova Pro 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$3.20
0
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
35
vs boards won of 35 shared

Nova Pro 1.0 or MiniMax M2.7: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Nova Pro 1.0 has none, so the two cannot be ranked on coding.

Pick Nova Pro 1.0 for a larger context window (300K against 205K tokens).

Model ANova Pro 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
35
Nova Pro 1.0 only
7
MiniMax M2.7 only
39
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 Pro 1.0 not benchmarked, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Agentic work, 70.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Nova Pro 1.0 14.0% against MiniMax M2.7 84.8%, 70.8 points apart on a 0 to 100 scale.
Output price
Nova Pro 1.0 $3.20 against MiniMax M2.7 $1.20 per million output tokens, 2.7x apart.
Context window
Nova Pro 1.0 takes 300K tokens, MiniMax M2.7 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 Pro 1.0BarsMiniMax M2.7Ties
Coding03
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
Web design01
General018
All shared boards035
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Nova Pro 1.0 and MiniMax M2.7
BenchmarkNova Pro 1.0MiniMax M2.7Leader
LMArena WebDevNot measured1399Only MiniMax M2.7 measured
AA Coding IndexNot measured52.6Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
SWE-bench Verified (Vals AI)Not measured73.8%Only MiniMax M2.7 measured
Vibe Code Bench (Vals AI)Not measured11.9%Only MiniMax M2.7 measured
Code migration (Vals AI)Not measured8.7%Only MiniMax M2.7 measured
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
LiveCodeBench (Artificial Analysis run)23.3%Not measuredOnly Nova Pro 1.0 measured
SciCodeNot measured50.1%Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)6.1%39.4%MiniMax M2.7
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
WeirdMLNot measured37.0%Only MiniMax M2.7 measured
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding12701454MiniMax M2.7
LMArena Text: software and IT12711446MiniMax M2.7
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTMLNot measured1401Only MiniMax M2.7 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Pro 1.0 and MiniMax M2.7
BenchmarkNova Pro 1.0MiniMax M2.7Leader
AA Intelligence Index7.022.8MiniMax M2.7
Epoch Capabilities IndexNot measured145.8Only MiniMax M2.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nova Pro 1.0 and MiniMax M2.7
BenchmarkNova Pro 1.0MiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
Finance Agent (Vals AI)Not measured27.9%Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)Not measured6.9%Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)Not measured10.6%Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)Not measured28.4%Only MiniMax M2.7 measured
τ²-Bench Telecom14.0%84.8%MiniMax M2.7
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Nova Pro 1.0 and MiniMax M2.7
BenchmarkNova Pro 1.0MiniMax M2.7Leader
GPQA DiamondNot measured86.6%Only MiniMax M2.7 measured
GPQA Diamond (Artificial Analysis run)49.9%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)3.2%29.6%MiniMax M2.7
LMArena Text: hard prompts12461422MiniMax M2.7
LMArena Text: expert12111443MiniMax M2.7
LMArena Text: hard prompts in English12591441MiniMax M2.7
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 Pro 1.0 and MiniMax M2.7
BenchmarkNova Pro 1.0MiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
AA Math Index7.0Not measuredOnly Nova Pro 1.0 measured
AIME 2025 (Artificial Analysis run)7.0%Not measuredOnly Nova Pro 1.0 measured
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
LMArena Text: math12521421MiniMax M2.7
LMArena Text: mathematical work12611437MiniMax M2.7
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Nova Pro 1.0 and MiniMax M2.7
BenchmarkNova Pro 1.0MiniMax M2.7Leader
MMLU ProNot measured80.4%Only MiniMax M2.7 measured
LegalBench (Vals AI)Not measured84.0%Only MiniMax M2.7 measured
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)Not measured61.2%Only MiniMax M2.7 measured
TaxEval (Vals AI)Not measured66.6%Only MiniMax M2.7 measured
MedCode (Vals AI)Not measured34.4%Only MiniMax M2.7 measured
MMLU Pro (Artificial Analysis run)69.1%Not measuredOnly Nova Pro 1.0 measured
MMLU82.0%Not measuredOnly Nova Pro 1.0 measured
LMArena Text: science12551416MiniMax M2.7
LMArena Text: medicine and healthcare12601409MiniMax M2.7
LMArena Text: legal and government12811403MiniMax M2.7
LMArena Text: business and finance12291407MiniMax M2.7
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Nova Pro 1.0 and MiniMax M2.7
BenchmarkNova Pro 1.0MiniMax M2.7Leader
Design Arena: websites7961243MiniMax M2.7
Design Arena: UI componentsNot measured1210Only MiniMax M2.7 measured
Design Arena: game devNot measured1209Only MiniMax M2.7 measured
Design Arena: data vizNot measured1233Only MiniMax M2.7 measured
Design Arena: 3DNot measured1195Only MiniMax M2.7 measured
Design Arena: all code categoriesNot measured1233Only MiniMax M2.7 measured
Design Arena: SVGNot measured1137Only MiniMax M2.7 measured
Design Arena: ASCII artNot measured1136Only MiniMax M2.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Nova Pro 1.0 and MiniMax M2.7
BenchmarkNova Pro 1.0MiniMax M2.7Leader
MedScribe (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
IFBench38.1%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)21.0%78.3%MiniMax M2.7
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text12591405MiniMax M2.7
LMArena Text: instruction following12351405MiniMax M2.7
LMArena Text: creative writing12121354MiniMax M2.7
LMArena Vision980Not measuredOnly Nova Pro 1.0 measured
LMArena Text: English12761426MiniMax M2.7
LMArena Text: non-English12331382MiniMax M2.7
LMArena Text: Chinese12441442MiniMax M2.7
LMArena Text: German12431398MiniMax M2.7
LMArena Text: Japanese12001260MiniMax M2.7
LMArena Text: Korean12031314MiniMax M2.7
LMArena Text: French12711424MiniMax M2.7
LMArena Text: Spanish11821402MiniMax M2.7
LMArena Text: Russian12401383MiniMax M2.7
LMArena Text: PolishNot measured1387Only MiniMax M2.7 measured
LMArena Text: multi-turn12461412MiniMax M2.7
LMArena Text: longer queries12551418MiniMax M2.7
LMArena Text: writing and language12471376MiniMax M2.7
LMArena Text: entertainment and media12101360MiniMax M2.7
LMArena Vision: English987Not measuredOnly Nova Pro 1.0 measured
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
Image generation benchmarks for Nova Pro 1.0 and MiniMax M2.7
BenchmarkNova Pro 1.0MiniMax M2.7Leader
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 Pro 1.0$0.0024Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

Nova Pro 1.0$0.050Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

Nova Pro 1.0$0.192Fits in one request
MiniMax M2.7$0.072Exceeds the context window

MiniMax M2.7 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 Pro 1.0 and MiniMax M2.7
SpecificationAmazon Nova Pro 1.0MiniMax M2.7
MakerAmazonMiniMax
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024March 18, 2026
Context window300K205K
Input $/Mtok$0.80$0.30
Output $/Mtok$3.20$1.20
Coding indexNot benchmarked36.2
Independent measurements behind it03
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Pro 1.0 better than MiniMax M2.7 for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Nova Pro 1.0 has none, so the two cannot be ranked on coding. Pick Nova Pro 1.0 for a larger context window (300K against 205K tokens).

Which is cheaper, Nova Pro 1.0 or MiniMax M2.7?

Nova Pro 1.0 costs $0.80 per million input tokens and $3.20 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, Nova Pro 1.0 or MiniMax M2.7?

Nova Pro 1.0, with 300K tokens against 205K.

How many benchmarks is the Nova Pro 1.0 vs MiniMax M2.7 comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. Nova Pro 1.0's coding index rests on 0 independent benchmarks and MiniMax M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.

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