Enter opens the highlighted result. Esc closes.

Nova Lite 1.0 vs MiniMax M2.1

MiniMax M2.1 leads Nova Lite 1.0 on the Artificial Analysis Intelligence Index, 20.9 to 6.7, and Nova Lite 1.0 costs 5.0x less per output token ($0.24 vs $1.20 per million). Updated October 22, 2026; 11 benchmarks have a result for both.

Nova Lite 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$0.24
0
MiniMax M2.1MiniMax
Coding
No data
Overall
No data
Output $/M
$1.20
11
vs boards won of 11 shared

Nova Lite 1.0 or MiniMax M2.1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Nova Lite 1.0 for output tokens 5.0x cheaper ($0.24 vs $1.20 per million) and a larger context window (300K against 205K tokens).

Shared results
11
Nova Lite 1.0 only
30
MiniMax M2.1 only
23
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.

At a glance

Coding index
Nova Lite 1.0 not benchmarked, MiniMax M2.1 not benchmarked.
Widest category
Math, 75.7 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: Nova Lite 1.0 7.0 against MiniMax M2.1 82.7, 75.7 points apart on a 0 to 100 scale.
Output price
Nova Lite 1.0 $0.24 against MiniMax M2.1 $1.20 per million output tokens, 5.0x apart.
Context window
Nova Lite 1.0 takes 300K tokens, MiniMax M2.1 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 Lite 1.0BarsMiniMax M2.1Ties
Coding02
Intelligence01
Agentic work01
Reasoning02
Math02
Knowledge01
General02
All shared boards011
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Nova Lite 1.0 and MiniMax M2.1
BenchmarkNova Lite 1.0MiniMax M2.1Leader
LiveCodeBench (Vals AI)Not measured81.8%Only MiniMax M2.1 measured
SWE-bench Verified (Vals AI)Not measured74.8%Only MiniMax M2.1 measured
LiveCodeBench (Artificial Analysis run)16.7%81.0%MiniMax M2.1
Terminal-Bench Hard (Artificial Analysis run)0.8%28.8%MiniMax M2.1
Terminal-BenchNot measured36.6%Only MiniMax M2.1 measured
ALE-BenchNot measured623.8Only MiniMax M2.1 measured
LMArena Text: coding1239Not measuredOnly Nova Lite 1.0 measured
LMArena Text: software and IT1241Not measuredOnly Nova Lite 1.0 measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Lite 1.0 and MiniMax M2.1
BenchmarkNova Lite 1.0MiniMax M2.1Leader
AA Intelligence Index6.720.9MiniMax M2.1
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 Lite 1.0 and MiniMax M2.1
BenchmarkNova Lite 1.0MiniMax M2.1Leader
τ²-Bench Telecom17.5%85.4%MiniMax M2.1
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Nova Lite 1.0 and MiniMax M2.1
BenchmarkNova Lite 1.0MiniMax M2.1Leader
GPQA DiamondNot measured78.5%Only MiniMax M2.1 measured
GPQA Diamond (Artificial Analysis run)43.3%83.0%MiniMax M2.1
Humanity's Last Exam (Artificial Analysis run)4.3%23.2%MiniMax M2.1
LMArena Text: hard prompts1220Not measuredOnly Nova Lite 1.0 measured
LMArena Text: expert1201Not measuredOnly Nova Lite 1.0 measured
LMArena Text: hard prompts in English1226Not measuredOnly Nova Lite 1.0 measured
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 Lite 1.0 and MiniMax M2.1
BenchmarkNova Lite 1.0MiniMax M2.1Leader
AIMENot measured77.9%Only MiniMax M2.1 measured
MATH 500 (Vals AI)Not measured89.0%Only MiniMax M2.1 measured
MGSM (Vals AI)Not measured87.8%Only MiniMax M2.1 measured
AA Math Index7.082.7MiniMax M2.1
AIME 2025 (Artificial Analysis run)7.0%82.7%MiniMax M2.1
LMArena Text: math1227Not measuredOnly Nova Lite 1.0 measured
LMArena Text: mathematical work1235Not measuredOnly Nova Lite 1.0 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for Nova Lite 1.0 and MiniMax M2.1
BenchmarkNova Lite 1.0MiniMax M2.1Leader
MMLU ProNot measured87.0%Only MiniMax M2.1 measured
LegalBench (Vals AI)Not measured75.5%Only MiniMax M2.1 measured
CaseLaw (Vals AI)Not measured55.8%Only MiniMax M2.1 measured
CorpFin (Vals AI)Not measured58.9%Only MiniMax M2.1 measured
TaxEval (Vals AI)Not measured66.3%Only MiniMax M2.1 measured
MedQA (Vals AI)Not measured91.2%Only MiniMax M2.1 measured
MedCode (Vals AI)Not measured34.1%Only MiniMax M2.1 measured
MMLU Pro (Artificial Analysis run)59.0%87.5%MiniMax M2.1
MMLU77.0%Not measuredOnly Nova Lite 1.0 measured
LMArena Text: science1232Not measuredOnly Nova Lite 1.0 measured
LMArena Text: medicine and healthcare1213Not measuredOnly Nova Lite 1.0 measured
LMArena Text: legal and government1238Not measuredOnly Nova Lite 1.0 measured
LMArena Text: business and finance1219Not measuredOnly Nova Lite 1.0 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Nova Lite 1.0 and MiniMax M2.1
BenchmarkNova Lite 1.0MiniMax M2.1Leader
Design Arena: websitesNot measured1201Only MiniMax M2.1 measured
Design Arena: UI componentsNot measured1220Only MiniMax M2.1 measured
Design Arena: game devNot measured1134Only MiniMax M2.1 measured
Design Arena: data vizNot measured1206Only MiniMax M2.1 measured
Design Arena: 3DNot measured1164Only MiniMax M2.1 measured
Design Arena: all code categoriesNot measured1190Only MiniMax M2.1 measured
Design Arena: SVGNot measured1131Only MiniMax M2.1 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 Lite 1.0 and MiniMax M2.1
BenchmarkNova Lite 1.0MiniMax M2.1Leader
MedScribe (Vals AI)Not measured80.8%Only MiniMax M2.1 measured
IFBench34.1%69.9%MiniMax M2.1
Long context reasoning (AA-LCR)19.0%67.7%MiniMax M2.1
LMArena Text1229Not measuredOnly Nova Lite 1.0 measured
LMArena Text: instruction following1205Not measuredOnly Nova Lite 1.0 measured
LMArena Text: creative writing1197Not measuredOnly Nova Lite 1.0 measured
LMArena Vision990Not measuredOnly Nova Lite 1.0 measured
LMArena Text: English1243Not measuredOnly Nova Lite 1.0 measured
LMArena Text: non-English1208Not measuredOnly Nova Lite 1.0 measured
LMArena Text: Chinese1225Not measuredOnly Nova Lite 1.0 measured
LMArena Text: German1229Not measuredOnly Nova Lite 1.0 measured
LMArena Text: Japanese1153Not measuredOnly Nova Lite 1.0 measured
LMArena Text: Korean1153Not measuredOnly Nova Lite 1.0 measured
LMArena Text: French1238Not measuredOnly Nova Lite 1.0 measured
LMArena Text: Spanish1226Not measuredOnly Nova Lite 1.0 measured
LMArena Text: Russian1216Not measuredOnly Nova Lite 1.0 measured
LMArena Text: multi-turn1199Not measuredOnly Nova Lite 1.0 measured
LMArena Text: longer queries1234Not measuredOnly Nova Lite 1.0 measured
LMArena Text: writing and language1211Not measuredOnly Nova Lite 1.0 measured
LMArena Text: entertainment and media1176Not measuredOnly Nova Lite 1.0 measured
LMArena Vision: English999Not measuredOnly Nova Lite 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
Image generation benchmarks for Nova Lite 1.0 and MiniMax M2.1
BenchmarkNova Lite 1.0MiniMax M2.1Leader
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 Lite 1.0$0.0002Fits in one request
MiniMax M2.1$0.0009Fits in one request

Nova Lite 1.0 costs less

Repository review

50K input + 3K output tokens

Nova Lite 1.0$0.0037Fits in one request
MiniMax M2.1$0.019Fits in one request

Nova Lite 1.0 costs less

Agent loop

200K input + 10K output tokens

Nova Lite 1.0$0.014Fits in one request
MiniMax M2.1$0.072Exceeds the context window

Nova Lite 1.0 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 Lite 1.0 and MiniMax M2.1
SpecificationAmazon Nova Lite 1.0MiniMax M2.1
MakerAmazonMiniMax
WeightsNo public weights listedOpen weights
ReleasedDecember 5, 2024December 23, 2025
Context window300K205K
Input $/Mtok$0.06$0.30
Output $/Mtok$0.24$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.59
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Lite 1.0 better than MiniMax M2.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Lite 1.0 for output tokens 5.0x cheaper ($0.24 vs $1.20 per million) and a larger context window (300K against 205K tokens).

Which is cheaper, Nova Lite 1.0 or MiniMax M2.1?

Nova Lite 1.0 costs $0.06 per million input tokens and $0.24 per million output tokens; MiniMax M2.1 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.1 only.

Which has the bigger context window, Nova Lite 1.0 or MiniMax M2.1?

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

How many benchmarks is the Nova Lite 1.0 vs MiniMax M2.1 comparison based on?

11 benchmarks have a result for both models as of October 22, 2026. Nova Lite 1.0's coding index rests on 0 independent benchmarks and MiniMax M2.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next