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MiniMax M2.7 vs Mistral Large 4

Mistral Large 4 leads MiniMax M2.7 on coding, 56.4 to 36.2 on the Vibe Coding Index, and MiniMax M2.7 costs 3.5x less per output token ($1.20 vs $4.18 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace MiniMax M2.7 Replace Mistral Large 4
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
0
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
51
vs boards won of 51 shared

MiniMax M2.7 or Mistral Large 4: which to pick

Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 36.2 for MiniMax M2.7.

Pick MiniMax M2.7 for output tokens 3.5x cheaper ($1.20 vs $4.18 per million).

Model AMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved taskModel BMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved task
Shared results
51
MiniMax M2.7 only
23
Mistral Large 4 only
31
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
MiniMax M2.7 36.2 from 3 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Agentic work, 24.8 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): MiniMax M2.7 11.9% against Mistral Large 4 78.4%, 66.5 points apart on a 0 to 100 scale.
Output price
MiniMax M2.7 $1.20 against Mistral Large 4 $4.18 per million output tokens, 3.5x apart.
Context window
MiniMax M2.7 takes 205K tokens, Mistral Large 4 1.05M.

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 M2.7BarsMistral Large 4Ties
Coding09
Intelligence02
Agentic work04
Reasoning04
Math03
Knowledge05
Web design08
General016
All shared boards051
CodingLike-for-likeSix of these boards feed the Vibe Coding Index09
Coding benchmarks for MiniMax M2.7 and Mistral Large 4
BenchmarkMiniMax M2.7Mistral Large 4Leader
LiveBench codingNot measured60.0%Only Mistral Large 4 measured
LMArena WebDev13991543Mistral Large 4
AA Coding Index52.6Not measuredOnly MiniMax M2.7 measured
LiveCodeBench (Vals AI)79.9%Not measuredOnly MiniMax M2.7 measured
SWE-bench Verified (Vals AI)73.8%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench 4 (Vals AI)Not measured27.8%Only Mistral Large 4 measured
Vibe Code Bench (Vals AI)11.9%78.4%Mistral Large 4
Code migration (Vals AI)8.7%30.6%Mistral Large 4
ProgramBench (Vals AI)0.0%Not measuredOnly MiniMax M2.7 measured
IOI (Vals AI)Not measured45.3%Only Mistral Large 4 measured
Terminal-Bench 2.1 (Vals AI)48.7%Not measuredOnly MiniMax M2.7 measured
SWE-bench Multimodal (Vals AI)Not measured33.1%Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.3%Only Mistral Large 4 measured
SciCode50.1%54.2%Mistral Large 4
Terminal-Bench Hard (Artificial Analysis run)39.4%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench45.1%Not measuredOnly MiniMax M2.7 measured
FrontierCodeNot measured39.4%Only Mistral Large 4 measured
WeirdML37.0%Not measuredOnly MiniMax M2.7 measured
ALE-Bench599.31213.2Mistral Large 4
LMArena Text: coding14541478Mistral Large 4
LMArena Text: software and IT14461467Mistral Large 4
LMArena WebDev: React13881559Mistral Large 4
LMArena WebDev: HTML14011487Mistral Large 4
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for MiniMax M2.7 and Mistral Large 4
BenchmarkMiniMax M2.7Mistral Large 4Leader
AA Intelligence Index22.838.4Mistral Large 4
Epoch Capabilities Index145.8150.0Mistral Large 4
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for MiniMax M2.7 and Mistral Large 4
BenchmarkMiniMax M2.7Mistral Large 4Leader
AA Agentic Index15.3Not measuredOnly MiniMax M2.7 measured
LiveBench researchNot measured28.1%Only Mistral Large 4 measured
LiveBench browserNot measured8.0%Only Mistral Large 4 measured
LiveBench long agenticNot measured11.8%Only Mistral Large 4 measured
Finance Agent (Vals AI)27.9%54.7%Mistral Large 4
Tax Agent Bench (Vals AI)6.9%30.4%Mistral Large 4
Legal Research Bench (Vals AI)10.6%31.7%Mistral Large 4
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)28.4%56.2%Mistral Large 4
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 measured
τ²-Bench Telecom84.8%Not measuredOnly MiniMax M2.7 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for MiniMax M2.7 and Mistral Large 4
BenchmarkMiniMax M2.7Mistral Large 4Leader
GPQA Diamond86.6%Not measuredOnly MiniMax M2.7 measured
LiveBench reasoningNot measured83.9%Only Mistral Large 4 measured
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
GPQA Diamond (Artificial Analysis run)87.4%Not measuredOnly MiniMax M2.7 measured
Humanity's Last Exam (Artificial Analysis run)29.6%35.0%Mistral Large 4
GPQA Diamond (Epoch AI run)Not measured88.1%Only Mistral Large 4 measured
Chess puzzlesNot measured33.0%Only Mistral Large 4 measured
Mystery game puzzlesNot measured17.0%Only Mistral Large 4 measured
LMArena Text: hard prompts14221444Mistral Large 4
LMArena Text: expert14431444Mistral Large 4
LMArena Text: hard prompts in English14411442Mistral Large 4
LMArena Vision: diagramsNot measured1288Only Mistral Large 4 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for MiniMax M2.7 and Mistral Large 4
BenchmarkMiniMax M2.7Mistral Large 4Leader
AIME91.0%Not measuredOnly MiniMax M2.7 measured
OTIS Mock AIMENot measured98.3%Only Mistral Large 4 measured
FrontierMath, tiers 1 to 3Not measured58.6%Only Mistral Large 4 measured
FrontierMath, tier 4Not measured26.8%Only Mistral Large 4 measured
ProofBench3.0%10.0%Mistral Large 4
LMArena Text: math14211469Mistral Large 4
LMArena Text: mathematical work14371462Mistral Large 4
MathArenaNot measured26.7%Only Mistral Large 4 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for MiniMax M2.7 and Mistral Large 4
BenchmarkMiniMax M2.7Mistral Large 4Leader
MMLU Pro80.4%Not measuredOnly MiniMax M2.7 measured
LegalBench (Vals AI)84.0%Not measuredOnly MiniMax M2.7 measured
CaseLaw (Vals AI)60.9%Not measuredOnly MiniMax M2.7 measured
CorpFin (Vals AI)61.2%Not measuredOnly MiniMax M2.7 measured
TaxEval (Vals AI)66.6%Not measuredOnly MiniMax M2.7 measured
MedCode (Vals AI)34.4%40.7%Mistral Large 4
SimpleQA VerifiedNot measured20.0%Only Mistral Large 4 measured
LMArena Text: science14161448Mistral Large 4
LMArena Text: medicine and healthcare14091433Mistral Large 4
LMArena Text: legal and government14031425Mistral Large 4
LMArena Text: business and finance14071439Mistral Large 4
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for MiniMax M2.7 and Mistral Large 4
BenchmarkMiniMax M2.7Mistral Large 4Leader
Design Arena: websites12421258Mistral Large 4
Design Arena: UI components12071273Mistral Large 4
Design Arena: game dev12091225Mistral Large 4
Design Arena: data viz12331275Mistral Large 4
Design Arena: 3D11941252Mistral Large 4
Design Arena: all code categories12331259Mistral Large 4
Design Arena: SVG11371232Mistral Large 4
Design Arena: ASCII art11361202Mistral Large 4
LiveBench designNot measured65.6%Only Mistral Large 4 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index016
General benchmarks for MiniMax M2.7 and Mistral Large 4
BenchmarkMiniMax M2.7Mistral Large 4Leader
LiveBench data analysisNot measured76.5%Only Mistral Large 4 measured
MedScribe (Vals AI)79.9%80.4%Mistral Large 4
IFBench75.7%Not measuredOnly MiniMax M2.7 measured
Long context reasoning (AA-LCR)78.3%81.3%Mistral Large 4
DTBenchNot measured88.2%Only Mistral Large 4 measured
LMCANot measured35.8%Only Mistral Large 4 measured
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assemblyNot measured20.8%Only Mistral Large 4 measured
ExploitBench13.3%Not measuredOnly MiniMax M2.7 measured
LMArena Text14051431Mistral Large 4
LMArena Text: instruction following14051422Mistral Large 4
LMArena Text: creative writing13541363Mistral Large 4
LMArena VisionNot measured1272Only Mistral Large 4 measured
LMArena Text: English14261433Mistral Large 4
LMArena Text: non-English13821422Mistral Large 4
LMArena Text: Chinese14421492Mistral Large 4
LMArena Text: German1398Not measuredOnly MiniMax M2.7 measured
LMArena Text: Japanese12601415Mistral Large 4
LMArena Text: Korean1314Not measuredOnly MiniMax M2.7 measured
LMArena Text: French14241492Mistral Large 4
LMArena Text: Spanish14021455Mistral Large 4
LMArena Text: Russian13831417Mistral Large 4
LMArena Text: Polish1387Not measuredOnly MiniMax M2.7 measured
LMArena Text: multi-turn14121435Mistral Large 4
LMArena Text: longer queries14181428Mistral Large 4
LMArena Text: writing and language13761386Mistral Large 4
LMArena Text: entertainment and media13601378Mistral Large 4
LMArena Vision: EnglishNot measured1283Only Mistral Large 4 measured
LMArena Vision: reading textNot measured1284Only Mistral Large 4 measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M2.7 and Mistral Large 4
BenchmarkMiniMax M2.7Mistral Large 4Leader
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 M2.7$0.0009Fits in one request
Mistral Large 4$0.0034Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

MiniMax M2.7$0.019Fits in one request
Mistral Large 4$0.081Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.7$0.072Exceeds the context window
Mistral Large 4$0.314Fits in one request

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 MiniMax M2.7 and Mistral Large 4
SpecificationMiniMax M2.7Mistral Large 4
MakerMiniMaxMistral AI
WeightsOpen weightsNo public weights listed
ReleasedMarch 18, 2026October 6, 2026
Context window205K1.05M
Input $/Mtok$0.30$1.36
Output $/Mtok$1.20$4.18
Coding index36.256.4
Independent measurements behind it35
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2.7 better than Mistral Large 4 for coding?

Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for output tokens 3.5x cheaper ($1.20 vs $4.18 per million).

Which is cheaper, MiniMax M2.7 or Mistral Large 4?

MiniMax M2.7 costs $0.30 per million input tokens and $1.20 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, MiniMax M2.7 or Mistral Large 4?

Mistral Large 4, with 1.05M tokens against 205K.

How many benchmarks is the MiniMax M2.7 vs Mistral Large 4 comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. MiniMax M2.7's coding index rests on 3 independent benchmarks and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/minimax-minimax-m2-7-vs-mistral-large-4-0">LLMBenchmark.ai, MiniMax M2.7 vs Mistral Large 4</a></p>