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Claude Opus 4.6 vs MiniMax M2.7

Claude Opus 4.6 leads MiniMax M2.7 on coding, 57.2 to 36.2 on the Vibe Coding Index, and MiniMax M2.7 costs 20.8x less per output token ($1.20 vs $25.00 per million). Updated October 22, 2026; 62 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace MiniMax M2.7
Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
60
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
2
vs boards won of 62 shared

Claude Opus 4.6 or MiniMax M2.7: which to pick

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 36.2 for MiniMax M2.7.

Pick MiniMax M2.7 for output tokens 20.8x cheaper ($1.20 vs $25.00 per million) and a lower cost per solved task ($0.64 against $1.56).

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
62
Claude Opus 4.6 only
57
MiniMax M2.7 only
12
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 Opus 4.6 57.2 from 4 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Coding, 21.8 points apart on average over 11 shared benchmarks.
Widest single gap
ProofBench: Claude Opus 4.6 50.0% against MiniMax M2.7 3.0%, 47.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against MiniMax M2.7 $1.20 per million output tokens, 20.8x apart.
Context window
Claude Opus 4.6 takes 1M 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
CategoryClaude Opus 4.6BarsMiniMax M2.7Ties
Coding110
Intelligence20
Agentic work10
Reasoning60
Math40
Knowledge100
Web design80
General182
All shared boards602
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for Claude Opus 4.6 and MiniMax M2.7
BenchmarkClaude Opus 4.6MiniMax M2.7Leader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev15471399Claude Opus 4.6
AA Coding IndexNot measured52.6Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)84.7%79.9%Claude Opus 4.6
SWE-bench Verified (Vals AI)78.2%73.8%Claude Opus 4.6
Vibe Code Bench (Vals AI)57.6%11.9%Claude Opus 4.6
Code migration (Vals AI)Not measured8.7%Only MiniMax M2.7 measured
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
SciCodeNot measured50.1%Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)48.5%39.4%Claude Opus 4.6
Terminal-Bench79.8%45.1%Claude Opus 4.6
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%37.0%Claude Opus 4.6
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding15341454Claude Opus 4.6
LMArena Text: software and IT15271446Claude Opus 4.6
LMArena WebDev: React15391388Claude Opus 4.6
LMArena WebDev: HTML15591401Claude Opus 4.6
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
SWE Atlas: Codebase QnA33.3%Not measuredOnly Claude Opus 4.6 measured
SWE Atlas: Refactoring35.6%Not measuredOnly Claude Opus 4.6 measured
SWE Atlas: Test Writing36.7%Not measuredOnly Claude Opus 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 index20
Intelligence benchmarks for Claude Opus 4.6 and MiniMax M2.7
BenchmarkClaude Opus 4.6MiniMax M2.7Leader
AA Intelligence Index31.922.8Claude Opus 4.6
Epoch Capabilities Index155.7145.8Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.6 and MiniMax M2.7
BenchmarkClaude Opus 4.6MiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1213Not measuredOnly Claude Opus 4.6 measured
Finance Agent (Vals AI)Not measured27.9%Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)Not measured6.9%Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)Not measured10.6%Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)Not measured28.4%Only MiniMax M2.7 measured
τ²-Bench Telecom92.1%84.8%Claude Opus 4.6
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
Vending-Bench 2$8,018Not measuredOnly Claude Opus 4.6 measured
MCP Atlas76.8%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Opus 4.6 and MiniMax M2.7
BenchmarkClaude Opus 4.6MiniMax M2.7Leader
GPQA Diamond89.7%86.6%Claude Opus 4.6
MMMU Pro (Vals AI)83.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)89.6%87.4%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%29.6%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI94.0%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI-269.2%Not measuredOnly Claude Opus 4.6 measured
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%Not measuredOnly Claude Opus 4.6 measured
Mystery game puzzles25.0%Not measuredOnly Claude Opus 4.6 measured
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251422Claude Opus 4.6
LMArena Text: expert15441443Claude Opus 4.6
LMArena Text: hard prompts in English15301441Claude Opus 4.6
LMArena Vision: diagrams1340Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.6 measured
Kagi LLM Benchmark83.6%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Opus 4.6 and MiniMax M2.7
BenchmarkClaude Opus 4.6MiniMax M2.7Leader
AIME95.6%91.0%Claude Opus 4.6
OTIS Mock AIME94.4%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tiers 1 to 366.0%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tier 426.8%Not measuredOnly Claude Opus 4.6 measured
ProofBench50.0%3.0%Claude Opus 4.6
LMArena Text: math15181421Claude Opus 4.6
LMArena Text: mathematical work15251437Claude Opus 4.6
MathArena23.6%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Claude Opus 4.6 and MiniMax M2.7
BenchmarkClaude Opus 4.6MiniMax M2.7Leader
MMLU Pro89.1%80.4%Claude Opus 4.6
LegalBench (Vals AI)85.3%84.0%Claude Opus 4.6
CaseLaw (Vals AI)62.1%60.9%Claude Opus 4.6
CorpFin (Vals AI)67.0%61.2%Claude Opus 4.6
TaxEval (Vals AI)76.0%66.6%Claude Opus 4.6
MortgageTax (Vals AI)68.5%Not measuredOnly Claude Opus 4.6 measured
MedQA (Vals AI)95.4%Not measuredOnly Claude Opus 4.6 measured
MedCode (Vals AI)49.1%34.4%Claude Opus 4.6
SimpleQA Verified47.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: science15191416Claude Opus 4.6
LMArena Text: medicine and healthcare15041409Claude Opus 4.6
LMArena Text: legal and government15121403Claude Opus 4.6
LMArena Text: business and finance14971407Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
PRBench Finance53.3%Not measuredOnly Claude Opus 4.6 measured
PRBench Legal52.3%Not measuredOnly Claude Opus 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 index80
Web design benchmarks for Claude Opus 4.6 and MiniMax M2.7
BenchmarkClaude Opus 4.6MiniMax M2.7Leader
Design Arena: websites12911242Claude Opus 4.6
Design Arena: UI components12821207Claude Opus 4.6
Design Arena: game dev12771209Claude Opus 4.6
Design Arena: data viz12801233Claude Opus 4.6
Design Arena: 3D12731194Claude Opus 4.6
Design Arena: all code categories12881233Claude Opus 4.6
Design Arena: SVG12271137Claude Opus 4.6
Design Arena: ASCII art12551136Claude Opus 4.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index182
General benchmarks for Claude Opus 4.6 and MiniMax M2.7
BenchmarkClaude Opus 4.6MiniMax M2.7Leader
SAGE (Vals AI)51.6%Not measuredOnly Claude Opus 4.6 measured
MedScribe (Vals AI)86.7%79.9%Claude Opus 4.6
IFBench53.1%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)78.0%78.3%MiniMax M2.7
DTBench91.2%Not measuredOnly Claude Opus 4.6 measured
LMCA55.8%Not measuredOnly Claude Opus 4.6 measured
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011405Claude Opus 4.6
LMArena Text: instruction following15211405Claude Opus 4.6
LMArena Text: creative writing15051354Claude Opus 4.6
LMArena Vision1316Not measuredOnly Claude Opus 4.6 measured
LMArena Text: English15111426Claude Opus 4.6
LMArena Text: non-English14881382Claude Opus 4.6
LMArena Text: Chinese15511442Claude Opus 4.6
LMArena Text: German15001398Claude Opus 4.6
LMArena Text: Japanese14881260Claude Opus 4.6
LMArena Text: Korean14641314Claude Opus 4.6
LMArena Text: French15121424Claude Opus 4.6
LMArena Text: Spanish15101402Claude Opus 4.6
LMArena Text: Russian14971383Claude Opus 4.6
LMArena Text: Polish14991387Claude Opus 4.6
LMArena Text: multi-turn15111412Claude Opus 4.6
LMArena Text: longer queries15181418Claude Opus 4.6
LMArena Text: writing and language15021376Claude Opus 4.6
LMArena Text: entertainment and media14921360Claude Opus 4.6
LMArena Vision: English1324Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: Chinese1370Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: humor1314Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing1331Not measuredOnly Claude Opus 4.6 measured
LMArena Document1507Not measuredOnly Claude Opus 4.6 measured
MultiChallenge56.0%Not measuredOnly Claude Opus 4.6 measured
EQ-Bench 41223Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.6 and MiniMax M2.7
BenchmarkClaude Opus 4.6MiniMax 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

Claude Opus 4.6$0.018Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
MiniMax M2.7$0.072Exceeds the context window

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 Claude Opus 4.6 and MiniMax M2.7
SpecificationAnthropic Claude Opus 4.6MiniMax M2.7
MakerAnthropicMiniMax
WeightsNo public weights listedOpen weights
ReleasedFebruary 4, 2026March 18, 2026
Context window1M205K
Input $/Mtok$5.00$0.30
Output $/Mtok$25.00$1.20
Coding index57.236.2
Independent measurements behind it43
Cost per solved task$1.56$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than MiniMax M2.7 for coding?

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for output tokens 20.8x cheaper ($1.20 vs $25.00 per million) and a lower cost per solved task ($0.64 against $1.56).

Which is cheaper, Claude Opus 4.6 or MiniMax M2.7?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and MiniMax M2.7 $0.64.

Which has the bigger context window, Claude Opus 4.6 or MiniMax M2.7?

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

How many benchmarks is the Claude Opus 4.6 vs MiniMax M2.7 comparison based on?

62 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 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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