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MiniMax M2 vs Step 3.7 Flash

Step 3.7 Flash leads MiniMax M2 on the Artificial Analysis Intelligence Index, 19.5 to 18.6, at about the same output price ($1.15 vs $1.02 per million). Updated October 21, 2026; 14 benchmarks have a result for both.

MiniMax M2MiniMax
Coding
No data
Overall
No data
Output $/M
$1.02
2
Step 3.7 FlashStepFun
Coding
No data
Overall
No data
Output $/M
$1.15
12
vs boards won of 14 shared

MiniMax M2 or Step 3.7 Flash: which to pick

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

Pick MiniMax M2 for output tokens 1.1x cheaper ($1.02 vs $1.15 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.

Shared results
14
MiniMax M2 only
36
Step 3.7 Flash only
4
Like-for-like categories
6 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
MiniMax M2 not benchmarked, Step 3.7 Flash not benchmarked.
Widest category
Agentic work, 11.7 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: MiniMax M2 86.8% against Step 3.7 Flash 98.5%, 11.7 points apart on a 0 to 100 scale.
Output price
MiniMax M2 $1.02 against Step 3.7 Flash $1.15 per million output tokens, 1.1x apart.
Context window
MiniMax M2 takes 205K tokens, Step 3.7 Flash 262K.

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
CategoryMiniMax M2BarsStep 3.7 FlashTies
Coding01
Intelligence01
Agentic work01
Reasoning02
Web design16
General11
All shared boards212
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for MiniMax M2 and Step 3.7 Flash
BenchmarkMiniMax M2Step 3.7 FlashLeader
SWE-bench Verified61.0%Not measuredOnly MiniMax M2 measured
LMArena WebDev1297Not measuredOnly MiniMax M2 measured
AA Coding IndexNot measured39.6Only Step 3.7 Flash measured
LiveCodeBench (Artificial Analysis run)82.6%Not measuredOnly MiniMax M2 measured
SciCodeNot measured43.9%Only Step 3.7 Flash measured
Terminal-Bench Hard (Artificial Analysis run)25.8%35.6%Step 3.7 Flash
Terminal-Bench30.0%Not measuredOnly MiniMax M2 measured
ALE-BenchNot measured694.1Only Step 3.7 Flash measured
LMArena Text: coding1371Not measuredOnly MiniMax M2 measured
LMArena Text: software and IT1373Not measuredOnly MiniMax M2 measured
LMArena WebDev: HTML1306Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for MiniMax M2 and Step 3.7 Flash
BenchmarkMiniMax M2Step 3.7 FlashLeader
AA Intelligence Index18.619.5Step 3.7 Flash
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 MiniMax M2 and Step 3.7 Flash
BenchmarkMiniMax M2Step 3.7 FlashLeader
τ²-Bench Telecom86.8%98.5%Step 3.7 Flash
Vending-Bench 2$161Not measuredOnly 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 index02
Reasoning benchmarks for MiniMax M2 and Step 3.7 Flash
BenchmarkMiniMax M2Step 3.7 FlashLeader
GPQA Diamond (Artificial Analysis run)77.7%80.9%Step 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)13.7%21.4%Step 3.7 Flash
LMArena Text: hard prompts1357Not measuredOnly MiniMax M2 measured
LMArena Text: expert1338Not measuredOnly MiniMax M2 measured
LMArena Text: hard prompts in English1376Not measuredOnly MiniMax M2 measured
Kagi LLM Benchmark57.8%Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for MiniMax M2 and Step 3.7 Flash
BenchmarkMiniMax M2Step 3.7 FlashLeader
AA Math Index78.3Not measuredOnly MiniMax M2 measured
AIME 2025 (Artificial Analysis run)78.3%Not measuredOnly MiniMax M2 measured
LMArena Text: math1351Not measuredOnly MiniMax M2 measured
LMArena Text: mathematical work1368Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for MiniMax M2 and Step 3.7 Flash
BenchmarkMiniMax M2Step 3.7 FlashLeader
MMLU Pro (Artificial Analysis run)82.0%Not measuredOnly MiniMax M2 measured
LMArena Text: science1348Not measuredOnly MiniMax M2 measured
LMArena Text: medicine and healthcare1367Not measuredOnly MiniMax M2 measured
LMArena Text: legal and government1349Not measuredOnly MiniMax M2 measured
LMArena Text: business and finance1336Not measuredOnly 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 index16
Web design benchmarks for MiniMax M2 and Step 3.7 Flash
BenchmarkMiniMax M2Step 3.7 FlashLeader
Design Arena: websites11431196Step 3.7 Flash
Design Arena: UI components11361179Step 3.7 Flash
Design Arena: game dev11181158Step 3.7 Flash
Design Arena: data viz11401172Step 3.7 Flash
Design Arena: 3D10981129Step 3.7 Flash
Design Arena: all code categories11351182Step 3.7 Flash
Design Arena: SVG11001085MiniMax M2
Design Arena: ASCII artNot measured1152Only Step 3.7 Flash measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
General benchmarks for MiniMax M2 and Step 3.7 Flash
BenchmarkMiniMax M2Step 3.7 FlashLeader
IFBench72.3%67.3%MiniMax M2
Long context reasoning (AA-LCR)64.3%73.7%Step 3.7 Flash
LMArena Text1340Not measuredOnly MiniMax M2 measured
LMArena Text: instruction following1329Not measuredOnly MiniMax M2 measured
LMArena Text: creative writing1286Not measuredOnly MiniMax M2 measured
LMArena Text: English1364Not measuredOnly MiniMax M2 measured
LMArena Text: non-English1313Not measuredOnly MiniMax M2 measured
LMArena Text: Chinese1366Not measuredOnly MiniMax M2 measured
LMArena Text: German1357Not measuredOnly MiniMax M2 measured
LMArena Text: French1336Not measuredOnly MiniMax M2 measured
LMArena Text: Spanish1326Not measuredOnly MiniMax M2 measured
LMArena Text: Russian1330Not measuredOnly MiniMax M2 measured
LMArena Text: Polish1312Not measuredOnly MiniMax M2 measured
LMArena Text: multi-turn1361Not measuredOnly MiniMax M2 measured
LMArena Text: longer queries1331Not measuredOnly MiniMax M2 measured
LMArena Text: writing and language1295Not measuredOnly MiniMax M2 measured
LMArena Text: entertainment and media1298Not measuredOnly 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 MiniMax M2 and Step 3.7 Flash
BenchmarkMiniMax M2Step 3.7 FlashLeader
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$0.0008Fits in one request
Step 3.7 Flash$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

MiniMax M2$0.016Fits in one request
Step 3.7 Flash$0.013Fits in one request

Step 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

MiniMax M2$0.061Exceeds the context window
Step 3.7 Flash$0.051Fits in one request

Step 3.7 Flash 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 MiniMax M2 and Step 3.7 Flash
SpecificationMiniMax M2StepFun Step 3.7 Flash
MakerMiniMaxStepFun
WeightsOpen weightsOpen weights
ReleasedOctober 23, 2025May 28, 2026
Context window205K262K
Input $/Mtok$0.255$0.20
Output $/Mtok$1.02$1.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.702Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2 better than Step 3.7 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick MiniMax M2 for output tokens 1.1x cheaper ($1.02 vs $1.15 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.

Which is cheaper, MiniMax M2 or Step 3.7 Flash?

MiniMax M2 costs $0.255 per million input tokens and $1.02 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for MiniMax M2 only.

Which has the bigger context window, MiniMax M2 or Step 3.7 Flash?

Step 3.7 Flash, with 262K tokens against 205K.

How many benchmarks is the MiniMax M2 vs Step 3.7 Flash comparison based on?

14 benchmarks have a result for both models as of October 21, 2026. MiniMax M2's coding index rests on 1 independent benchmark and Step 3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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