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Claude Sonnet 4.6 vs MiniMax M2

Claude Sonnet 4.6 leads MiniMax M2 on the Artificial Analysis Intelligence Index, 30.1 to 18.6, and MiniMax M2 costs 14.7x less per output token ($1.02 vs $15.00 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
42
MiniMax M2MiniMax
Coding
No data
Overall
No data
Output $/M
$1.02
2
vs boards won of 44 shared

Claude Sonnet 4.6 or MiniMax M2: which to pick

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; MiniMax M2 has none, so the two cannot be ranked on coding.

Pick MiniMax M2 for output tokens 14.7x cheaper ($1.02 vs $15.00 per million) and a lower cost per solved task ($0.702 against $1.68).

Shared results
44
Claude Sonnet 4.6 only
74
MiniMax M2 only
6
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
Claude Sonnet 4.6 57.3 from 5 benchmarks, MiniMax M2 not benchmarked.
Widest category
Coding, 26.9 points apart on average over 6 shared benchmarks.
Widest single gap
Vending-Bench 2: Claude Sonnet 4.6 $7,204 against MiniMax M2 $161, 44.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against MiniMax M2 $1.02 per million output tokens, 14.7x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, MiniMax M2 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
CategoryClaude Sonnet 4.6BarsMiniMax M2Ties
Coding60
Intelligence10
Agentic work11
Reasoning50
Math20
Knowledge40
Web design70
General161
All shared boards422
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Sonnet 4.6 and MiniMax M2
BenchmarkClaude Sonnet 4.6MiniMax M2Leader
SWE-bench VerifiedNot measured61.0%Only MiniMax M2 measured
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev15231297Claude Sonnet 4.6
AA Coding Index63.0Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
Vibe Code Bench (Vals AI)55.8%Not measuredOnly Claude Sonnet 4.6 measured
Code migration (Vals AI)39.9%Not measuredOnly Claude Sonnet 4.6 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)57.3%Not measuredOnly Claude Sonnet 4.6 measured
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured82.6%Only MiniMax M2 measured
SciCode50.1%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)53.0%25.8%Claude Sonnet 4.6
Terminal-Bench53.4%30.0%Claude Sonnet 4.6
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: coding15031371Claude Sonnet 4.6
LMArena Text: software and IT14911373Claude Sonnet 4.6
LMArena WebDev: React1512Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: HTML15271306Claude Sonnet 4.6
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 4.6 and MiniMax M2
BenchmarkClaude Sonnet 4.6MiniMax M2Leader
AA Intelligence Index30.118.6Claude Sonnet 4.6
Epoch Capabilities Index152.8Not measuredOnly Claude Sonnet 4.6 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Claude Sonnet 4.6 and MiniMax M2
BenchmarkClaude Sonnet 4.6MiniMax M2Leader
AA Agentic Index31.8Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building web apps1190Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building full-stack apps1213Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building mobile apps1211Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games1226Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench browser68.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench long agentic23.1%Not measuredOnly Claude Sonnet 4.6 measured
Finance Agent (Vals AI)51.0%Not measuredOnly Claude Sonnet 4.6 measured
Tax Agent Bench (Vals AI)25.8%Not measuredOnly Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Sonnet 4.6 measured
Excel Modeling Benchmark (Vals AI)60.2%Not measuredOnly Claude Sonnet 4.6 measured
τ²-Bench Telecom79.5%86.8%MiniMax M2
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204$161Claude Sonnet 4.6
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Sonnet 4.6 and MiniMax M2
BenchmarkClaude Sonnet 4.6MiniMax M2Leader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%77.7%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%13.7%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI86.5%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI-260.4%Not measuredOnly Claude Sonnet 4.6 measured
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts14851357Claude Sonnet 4.6
LMArena Text: expert15001338Claude Sonnet 4.6
LMArena Text: hard prompts in English14931376Claude Sonnet 4.6
LMArena Vision: diagrams1306Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 4.6 measured
Kagi LLM BenchmarkNot measured57.8%Only MiniMax M2 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Sonnet 4.6 and MiniMax M2
BenchmarkClaude Sonnet 4.6MiniMax M2Leader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
AA Math IndexNot measured78.3Only MiniMax M2 measured
AIME 2025 (Artificial Analysis run)Not measured78.3%Only MiniMax M2 measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math14621351Claude Sonnet 4.6
LMArena Text: mathematical work14831368Claude Sonnet 4.6
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 4.6 and MiniMax M2
BenchmarkClaude Sonnet 4.6MiniMax M2Leader
MMLU Pro87.3%Not measuredOnly Claude Sonnet 4.6 measured
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%Not measuredOnly Claude Sonnet 4.6 measured
TaxEval (Vals AI)77.1%Not measuredOnly Claude Sonnet 4.6 measured
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
MMLU Pro (Artificial Analysis run)Not measured82.0%Only MiniMax M2 measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741348Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511367Claude Sonnet 4.6
LMArena Text: legal and government14701349Claude Sonnet 4.6
LMArena Text: business and finance14641336Claude Sonnet 4.6
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Sonnet 4.6 and MiniMax M2
BenchmarkClaude Sonnet 4.6MiniMax M2Leader
Design Arena: websites12841143Claude Sonnet 4.6
Design Arena: UI components12691134Claude Sonnet 4.6
Design Arena: game dev12581118Claude Sonnet 4.6
Design Arena: data viz12781140Claude Sonnet 4.6
Design Arena: 3D12341098Claude Sonnet 4.6
Design Arena: all code categories12751135Claude Sonnet 4.6
Design Arena: SVG11961100Claude Sonnet 4.6
Design Arena: ASCII art1235Not measuredOnly Claude Sonnet 4.6 measured
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index161
General benchmarks for Claude Sonnet 4.6 and MiniMax M2
BenchmarkClaude Sonnet 4.6MiniMax M2Leader
LiveBench data analysis76.1%Not measuredOnly Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%Not measuredOnly Claude Sonnet 4.6 measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%72.3%MiniMax M2
Long context reasoning (AA-LCR)80.0%64.3%Claude Sonnet 4.6
DTBench89.9%Not measuredOnly Claude Sonnet 4.6 measured
LMCA46.5%Not measuredOnly Claude Sonnet 4.6 measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581340Claude Sonnet 4.6
LMArena Text: instruction following14761329Claude Sonnet 4.6
LMArena Text: creative writing14351286Claude Sonnet 4.6
LMArena Vision1283Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: English14721364Claude Sonnet 4.6
LMArena Text: non-English14401313Claude Sonnet 4.6
LMArena Text: Chinese14911366Claude Sonnet 4.6
LMArena Text: German14281357Claude Sonnet 4.6
LMArena Text: Japanese1420Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Korean1410Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: French14651336Claude Sonnet 4.6
LMArena Text: Spanish14641326Claude Sonnet 4.6
LMArena Text: Russian14401330Claude Sonnet 4.6
LMArena Text: Polish14431312Claude Sonnet 4.6
LMArena Text: multi-turn14641361Claude Sonnet 4.6
LMArena Text: longer queries14791331Claude Sonnet 4.6
LMArena Text: writing and language14441295Claude Sonnet 4.6
LMArena Text: entertainment and media14311298Claude Sonnet 4.6
LMArena Vision: English1298Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: Chinese1307Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: reading text1296Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: humor1248Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing1272Not measuredOnly Claude Sonnet 4.6 measured
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 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 Claude Sonnet 4.6 and MiniMax M2
BenchmarkClaude Sonnet 4.6MiniMax M2Leader
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

Claude Sonnet 4.6$0.011Fits in one request
MiniMax M2$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
MiniMax M2$0.016Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
MiniMax M2$0.061Exceeds the context window

MiniMax M2 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 Claude Sonnet 4.6 and MiniMax M2
SpecificationAnthropic Claude Sonnet 4.6MiniMax M2
MakerAnthropicMiniMax
WeightsNo public weights listedOpen weights
ReleasedFebruary 17, 2026October 23, 2025
Context window1M205K
Input $/Mtok$3.00$0.255
Output $/Mtok$15.00$1.02
Coding index57.3Not benchmarked
Independent measurements behind it51
Cost per solved task$1.68$0.702
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than MiniMax M2 for coding?

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; MiniMax M2 has none, so the two cannot be ranked on coding. Pick MiniMax M2 for output tokens 14.7x cheaper ($1.02 vs $15.00 per million) and a lower cost per solved task ($0.702 against $1.68).

Which is cheaper, Claude Sonnet 4.6 or MiniMax M2?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Per solved SWE-bench Verified task, Claude Sonnet 4.6 costs $1.68 and MiniMax M2 $0.702.

Which has the bigger context window, Claude Sonnet 4.6 or MiniMax M2?

Claude Sonnet 4.6, with 1M tokens against 205K.

How many benchmarks is the Claude Sonnet 4.6 vs MiniMax M2 comparison based on?

44 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.6's coding index rests on 5 independent benchmarks and MiniMax M2's on 1. Where only one model has a result, the page says so instead of naming a winner.

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