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DeepSeek V4.1 Flash vs MiniMax M2.7

DeepSeek V4.1 Flash leads MiniMax M2.7 on coding, 62.5 to 36.2 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 1.4x less per output token ($0.84 vs $1.20 per million). Updated October 22, 2026; 57 benchmarks have a result for both.

Replace DeepSeek V4.1 Flash Replace MiniMax M2.7
DeepSeek V4.1 FlashDeepSeek
Coding
62.5
Overall
62.4
Output $/M
$0.84
56
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
1
vs boards won of 57 shared

DeepSeek V4.1 Flash or MiniMax M2.7: which to pick

Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 36.2 for MiniMax M2.7.

Pick MiniMax M2.7 for work measured by LegalBench (Vals AI), where it leads.

Model ADeepSeek V4.1 FlashDeepSeek62.5/1005 independent benchmarksNo cost per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
57
DeepSeek V4.1 Flash only
44
MiniMax M2.7 only
17
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
DeepSeek V4.1 Flash 62.5 from 5 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Agentic work, 26.2 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4.1 Flash 84.7% against MiniMax M2.7 11.9%, 72.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V4.1 Flash $0.84 against MiniMax M2.7 $1.20 per million output tokens, 1.4x apart.
Context window
DeepSeek V4.1 Flash takes 1.05M 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
CategoryDeepSeek V4.1 FlashBarsMiniMax M2.7Ties
Coding110
Intelligence20
Agentic work40
Reasoning40
Math30
Knowledge51
Web design80
General190
All shared boards561
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for DeepSeek V4.1 Flash and MiniMax M2.7
BenchmarkDeepSeek V4.1 FlashMiniMax M2.7Leader
LiveBench coding90.2%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena WebDev16181399DeepSeek V4.1 Flash
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
Terminal-Bench 4 (Vals AI)19.7%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench (Vals AI)84.7%11.9%DeepSeek V4.1 Flash
Code migration (Vals AI)45.6%8.7%DeepSeek V4.1 Flash
ProgramBench (Vals AI)0.5%0.0%DeepSeek V4.1 Flash
IOI (Vals AI)40.3%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench 2.1 (Vals AI)74.5%48.7%DeepSeek V4.1 Flash
SWE-bench Multimodal (Vals AI)46.5%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.4%Not measuredOnly DeepSeek V4.1 Flash measured
SkillsBench (Vals AI)69.8%Not measuredOnly DeepSeek V4.1 Flash measured
CyberBench (Vals AI)73.7%Not measuredOnly DeepSeek V4.1 Flash measured
SciCode51.9%50.1%DeepSeek V4.1 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured39.4%Only MiniMax M2.7 measured
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
FrontierCode43.9%Not measuredOnly DeepSeek V4.1 Flash measured
WeirdMLNot measured37.0%Only MiniMax M2.7 measured
ALE-Bench1092.3599.3DeepSeek V4.1 Flash
LMArena Text: coding15021454DeepSeek V4.1 Flash
LMArena Text: software and IT14961446DeepSeek V4.1 Flash
LMArena WebDev: React16281388DeepSeek V4.1 Flash
LMArena WebDev: HTML16121401DeepSeek V4.1 Flash
LMArena WebDev: from an image1606Not measuredOnly DeepSeek V4.1 Flash measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4.1 Flash and MiniMax M2.7
BenchmarkDeepSeek V4.1 FlashMiniMax M2.7Leader
AA Intelligence Index24.722.8DeepSeek V4.1 Flash
Epoch Capabilities Index155.9145.8DeepSeek V4.1 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for DeepSeek V4.1 Flash and MiniMax M2.7
BenchmarkDeepSeek V4.1 FlashMiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
LiveBench research86.8%Not measuredOnly DeepSeek V4.1 Flash measured
LiveBench browser84.0%Not measuredOnly DeepSeek V4.1 Flash measured
LiveBench long agentic40.1%Not measuredOnly DeepSeek V4.1 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly DeepSeek V4.1 Flash measured
Finance Agent (Vals AI)53.5%27.9%DeepSeek V4.1 Flash
Tax Agent Bench (Vals AI)26.6%6.9%DeepSeek V4.1 Flash
Legal Research Bench (Vals AI)41.4%10.6%DeepSeek V4.1 Flash
Excel Modeling Benchmark (Vals AI)57.2%28.4%DeepSeek V4.1 Flash
BioMysteryBench (Vals AI)67.8%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench-Science (Vals AI)0.0%Not measuredOnly DeepSeek V4.1 Flash measured
Vals Science Index29.6%Not measuredOnly DeepSeek V4.1 Flash measured
τ²-Bench TelecomNot measured84.8%Only MiniMax M2.7 measured
APEX-Agents39.5%Not measuredOnly DeepSeek V4.1 Flash measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V4.1 Flash and MiniMax M2.7
BenchmarkDeepSeek V4.1 FlashMiniMax M2.7Leader
GPQA DiamondNot measured86.6%Only MiniMax M2.7 measured
LiveBench reasoning86.7%Not measuredOnly DeepSeek V4.1 Flash measured
MysteryMechanism (Vals AI)21.2%Not measuredOnly DeepSeek V4.1 Flash measured
GPQA Diamond (Artificial Analysis run)Not measured87.4%Only MiniMax M2.7 measured
Humanity's Last Exam (Artificial Analysis run)39.2%29.6%DeepSeek V4.1 Flash
GPQA Diamond (Epoch AI run)89.8%Not measuredOnly DeepSeek V4.1 Flash measured
ARC-AGI94.5%Not measuredOnly DeepSeek V4.1 Flash measured
ARC-AGI-272.9%Not measuredOnly DeepSeek V4.1 Flash measured
Chess puzzles48.0%Not measuredOnly DeepSeek V4.1 Flash measured
Mystery game puzzles43.0%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text: hard prompts14831422DeepSeek V4.1 Flash
LMArena Text: expert15011443DeepSeek V4.1 Flash
LMArena Text: hard prompts in English14881441DeepSeek V4.1 Flash
LMArena Vision: diagrams1297Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Vision: homework1307Not measuredOnly DeepSeek V4.1 Flash measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for DeepSeek V4.1 Flash and MiniMax M2.7
BenchmarkDeepSeek V4.1 FlashMiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
OTIS Mock AIME98.3%Not measuredOnly DeepSeek V4.1 Flash measured
FrontierMath, tiers 1 to 367.4%Not measuredOnly DeepSeek V4.1 Flash measured
FrontierMath, tier 426.8%Not measuredOnly DeepSeek V4.1 Flash measured
ProofBench54.0%3.0%DeepSeek V4.1 Flash
LMArena Text: math14781421DeepSeek V4.1 Flash
LMArena Text: mathematical work14851437DeepSeek V4.1 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index51
Knowledge benchmarks for DeepSeek V4.1 Flash and MiniMax M2.7
BenchmarkDeepSeek V4.1 FlashMiniMax M2.7Leader
MMLU ProNot measured80.4%Only MiniMax M2.7 measured
LegalBench (Vals AI)83.3%84.0%MiniMax M2.7
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)41.2%34.4%DeepSeek V4.1 Flash
SimpleQA Verified42.9%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text: science14691416DeepSeek V4.1 Flash
LMArena Text: medicine and healthcare14841409DeepSeek V4.1 Flash
LMArena Text: legal and government14431403DeepSeek V4.1 Flash
LMArena Text: business and finance14611407DeepSeek V4.1 Flash
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for DeepSeek V4.1 Flash and MiniMax M2.7
BenchmarkDeepSeek V4.1 FlashMiniMax M2.7Leader
Design Arena: websites13081243DeepSeek V4.1 Flash
Design Arena: UI components13121210DeepSeek V4.1 Flash
Design Arena: game dev13301209DeepSeek V4.1 Flash
Design Arena: data viz12911233DeepSeek V4.1 Flash
Design Arena: 3D13551195DeepSeek V4.1 Flash
Design Arena: all code categories13201233DeepSeek V4.1 Flash
Design Arena: SVG12451137DeepSeek V4.1 Flash
Design Arena: ASCII art12651136DeepSeek V4.1 Flash
LiveBench design79.2%Not measuredOnly DeepSeek V4.1 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for DeepSeek V4.1 Flash and MiniMax M2.7
BenchmarkDeepSeek V4.1 FlashMiniMax M2.7Leader
LiveBench data analysis79.3%Not measuredOnly DeepSeek V4.1 Flash measured
Public Benefits Bench (Vals AI)64.3%Not measuredOnly DeepSeek V4.1 Flash measured
SAGE (Vals AI)47.9%Not measuredOnly DeepSeek V4.1 Flash measured
MedScribe (Vals AI)85.5%79.9%DeepSeek V4.1 Flash
IFBenchNot measured75.7%Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)84.0%78.3%DeepSeek V4.1 Flash
DTBench89.9%Not measuredOnly DeepSeek V4.1 Flash measured
LMCA47.0%Not measuredOnly DeepSeek V4.1 Flash measured
Surface Evolver Bench46.3%Not measuredOnly DeepSeek V4.1 Flash measured
Furniture assembly34.2%Not measuredOnly DeepSeek V4.1 Flash measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14641405DeepSeek V4.1 Flash
LMArena Text: instruction following14731405DeepSeek V4.1 Flash
LMArena Text: creative writing14371354DeepSeek V4.1 Flash
LMArena Vision1278Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text: English14731426DeepSeek V4.1 Flash
LMArena Text: non-English14491382DeepSeek V4.1 Flash
LMArena Text: Chinese15011442DeepSeek V4.1 Flash
LMArena Text: German14701398DeepSeek V4.1 Flash
LMArena Text: Japanese14321260DeepSeek V4.1 Flash
LMArena Text: Korean14361314DeepSeek V4.1 Flash
LMArena Text: French14651424DeepSeek V4.1 Flash
LMArena Text: Spanish14591402DeepSeek V4.1 Flash
LMArena Text: Russian14671383DeepSeek V4.1 Flash
LMArena Text: Polish14571387DeepSeek V4.1 Flash
LMArena Text: multi-turn14611412DeepSeek V4.1 Flash
LMArena Text: longer queries14731418DeepSeek V4.1 Flash
LMArena Text: writing and language14501376DeepSeek V4.1 Flash
LMArena Text: entertainment and media14451360DeepSeek V4.1 Flash
LMArena Vision: English1288Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Vision: Chinese1327Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Vision: reading text1282Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Vision: humor1260Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Vision: creative writing1275Not measuredOnly DeepSeek V4.1 Flash measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4.1 Flash and MiniMax M2.7
BenchmarkDeepSeek V4.1 FlashMiniMax 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

DeepSeek V4.1 Flash$0.0006Fits in one request
MiniMax M2.7$0.0009Fits in one request

DeepSeek V4.1 Flash costs less

Repository review

50K input + 3K output tokens

DeepSeek V4.1 Flash$0.014Fits in one request
MiniMax M2.7$0.019Fits in one request

DeepSeek V4.1 Flash costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4.1 Flash$0.053Fits in one request
MiniMax M2.7$0.072Exceeds the context window

DeepSeek V4.1 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 DeepSeek V4.1 Flash and MiniMax M2.7
SpecificationDeepSeek V4.1 FlashMiniMax M2.7
MakerDeepSeekMiniMax
WeightsOpen weightsOpen weights
ReleasedSeptember 10, 2026March 18, 2026
Context window1.05M205K
Input $/Mtok$0.2225$0.30
Output $/Mtok$0.84$1.20
Coding index62.536.2
Independent measurements behind it53
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4.1 Flash better than MiniMax M2.7 for coding?

Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for work measured by LegalBench (Vals AI), where it leads.

Which is cheaper, DeepSeek V4.1 Flash or MiniMax M2.7?

DeepSeek V4.1 Flash costs $0.2225 per million input tokens and $0.84 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, DeepSeek V4.1 Flash or MiniMax M2.7?

DeepSeek V4.1 Flash, with 1.05M tokens against 205K.

How many benchmarks is the DeepSeek V4.1 Flash vs MiniMax M2.7 comparison based on?

57 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4.1 Flash's coding index rests on 5 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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