Claude Opus 4.6 vs MiniMax M2.1

Claude Opus 4.6 leads MiniMax M2.1 on the Artificial Analysis Intelligence Index, 31.9 to 20.9, and MiniMax M2.1 costs 20.8x less per output token ($1.20 vs $25.00 per million). Updated October 22, 2026; 27 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace MiniMax M2.1

Claude Opus 4.6Anthropic

Coding: 57.2
Overall: 66.0
Output $/M: $25.00

MiniMax M2.1MiniMax

Coding: No data
Overall: No data
Output $/M: $1.20

vs boards won of 27 shared

Claude Opus 4.6 or MiniMax M2.1: which to pick

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; MiniMax M2.1 has none, so the two cannot be ranked on coding.

Pick MiniMax M2.1 for output tokens 20.8x cheaper ($1.20 vs $25.00 per million) and a lower cost per solved task ($0.59 against $1.56).

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved task Model BMiniMax M2.1MiniMaxNot benchmarked1 independent benchmark$0.59 per solved task

27927

Shared results: 27
Claude Opus 4.6 only: 92
MiniMax M2.1 only: 7
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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Claude Opus 4.6 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.6
Claude Opus 4.6 leads, 31.9 against 20.9.
Same board, both measured
Reasoning
GPQA Diamond
Claude Opus 4.6
Claude Opus 4.6 leads, 89.7% against 78.5%.
Same board, both measured
Math
AIME
Claude Opus 4.6
Claude Opus 4.6 leads, 95.6% against 77.9%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 4.6
Claude Opus 4.6 leads, 89.1% against 87.0%.
Same board, both measured
Web design
Design Arena: websites
Claude Opus 4.6
Claude Opus 4.6 leads, 1291 against 1201.
Same board, both measured
Long documents
Listed context window
Claude Opus 4.6
Claude Opus 4.6 takes 1M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2.1
Claude Opus 4.6 $0.018, MiniMax M2.1 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiniMax M2.1
Claude Opus 4.6 $1.56, MiniMax M2.1 $0.59.
Published attempt cost and pass rate

At a glance

Coding index: Claude Opus 4.6 57.2 from 4 benchmarks, MiniMax M2.1 not benchmarked.
Widest category: Math, 17.7 points apart on average over 1 shared benchmark.
Widest single gap: Terminal-Bench: Claude Opus 4.6 79.8% against MiniMax M2.1 36.6%, 43.2 points apart on a 0 to 100 scale.
Output price: Claude Opus 4.6 $25.00 against MiniMax M2.1 $1.20 per million output tokens, 20.8x apart.
Context window: Claude Opus 4.6 takes 1M tokens, MiniMax M2.1 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
Category	Claude Opus 4.6	MiniMax M2.1
Coding	4	0
Intelligence	1	0
Agentic work	1	0
Reasoning	3	0
Math	1	0
Knowledge	7	0
Web design	7	0
General	2	1
All shared boards	26	1

CodingLike-for-likeSix of these boards feed the Vibe Coding Index40

Coding benchmarks for Claude Opus 4.6 and MiniMax M2.1
Benchmark	Claude Opus 4.6	MiniMax M2.1	Leader
SWE-bench Verified	75.6%	Not measured	Only Claude Opus 4.6 measured
SWE-bench Multilingual	72.0%	Not measured	Only Claude Opus 4.6 measured
LMArena WebDev	1547	Not measured	Only Claude Opus 4.6 measured
LiveCodeBench (Vals AI)	84.7%	81.8%	Claude Opus 4.6
SWE-bench Verified (Vals AI)	78.2%	74.8%	Claude Opus 4.6
Vibe Code Bench (Vals AI)	57.6%	Not measured	Only Claude Opus 4.6 measured
LiveCodeBench (Artificial Analysis run)	Not measured	81.0%	Only MiniMax M2.1 measured
Terminal-Bench Hard (Artificial Analysis run)	48.5%	28.8%	Claude Opus 4.6
Terminal-Bench	79.8%	36.6%	Claude Opus 4.6
FrontierCode	26.6%	Not measured	Only Claude Opus 4.6 measured
GSO-Bench	41.2%	Not measured	Only Claude Opus 4.6 measured
WeirdML	78.0%	Not measured	Only Claude Opus 4.6 measured
Cybench	93.0%	Not measured	Only Claude Opus 4.6 measured
ALE-Bench	Not measured	623.8	Only MiniMax M2.1 measured
LMArena Text: coding	1534	Not measured	Only Claude Opus 4.6 measured
LMArena Text: software and IT	1527	Not measured	Only Claude Opus 4.6 measured
LMArena WebDev: React	1539	Not measured	Only Claude Opus 4.6 measured
LMArena WebDev: HTML	1559	Not measured	Only Claude Opus 4.6 measured
LMArena WebDev: from an image	1543	Not measured	Only Claude Opus 4.6 measured
SWE Atlas: Codebase QnA	33.3%	Not measured	Only Claude Opus 4.6 measured
SWE Atlas: Refactoring	35.6%	Not measured	Only Claude Opus 4.6 measured
SWE Atlas: Test Writing	36.7%	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 21 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10

Intelligence benchmarks for Claude Opus 4.6 and MiniMax M2.1
Benchmark	Claude Opus 4.6	MiniMax M2.1	Leader
AA Intelligence Index	31.9	20.9	Claude Opus 4.6
Epoch Capabilities Index	155.7	Not measured	Only Claude Opus 4.6 measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index10

Agentic work benchmarks for Claude Opus 4.6 and MiniMax M2.1
Benchmark	Claude Opus 4.6	MiniMax M2.1	Leader
Design Arena: agents building web apps	1206	Not measured	Only Claude Opus 4.6 measured
Design Arena: agents building full-stack apps	1220	Not measured	Only Claude Opus 4.6 measured
Design Arena: agents building mobile apps	1207	Not measured	Only Claude Opus 4.6 measured
Design Arena: agents building Android apps	1197	Not measured	Only Claude Opus 4.6 measured
Design Arena: agents building games	1213	Not measured	Only Claude Opus 4.6 measured
τ²-Bench Telecom	92.1%	85.4%	Claude Opus 4.6
APEX-Agents	46.3%	Not measured	Only Claude Opus 4.6 measured
METR time horizons	78.9%	Not measured	Only Claude Opus 4.6 measured
Remote Labor Index	4.2%	Not measured	Only Claude Opus 4.6 measured
DeepResearch Bench	55.3%	Not measured	Only Claude Opus 4.6 measured
Vending-Bench 2	$8,018	Not measured	Only Claude Opus 4.6 measured
MCP Atlas	76.8%	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 30 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index30

Reasoning benchmarks for Claude Opus 4.6 and MiniMax M2.1
Benchmark	Claude Opus 4.6	MiniMax M2.1	Leader
GPQA Diamond	89.7%	78.5%	Claude Opus 4.6
MMMU Pro (Vals AI)	83.9%	Not measured	Only Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)	89.6%	83.0%	Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)	39.9%	23.2%	Claude Opus 4.6
GPQA Diamond (Epoch AI run)	90.5%	Not measured	Only Claude Opus 4.6 measured
ARC-AGI	94.0%	Not measured	Only Claude Opus 4.6 measured
ARC-AGI-2	69.2%	Not measured	Only Claude Opus 4.6 measured
SimpleBench	67.6%	Not measured	Only Claude Opus 4.6 measured
Chess puzzles	21.0%	Not measured	Only Claude Opus 4.6 measured
Mystery game puzzles	25.0%	Not measured	Only Claude Opus 4.6 measured
EBR-bench	12.7%	Not measured	Only Claude Opus 4.6 measured
LMArena Text: hard prompts	1525	Not measured	Only Claude Opus 4.6 measured
LMArena Text: expert	1544	Not measured	Only Claude Opus 4.6 measured
LMArena Text: hard prompts in English	1530	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: diagrams	1340	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: homework	1337	Not measured	Only Claude Opus 4.6 measured
Kagi LLM Benchmark	83.6%	Not measured	Only 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 index10

Math benchmarks for Claude Opus 4.6 and MiniMax M2.1
Benchmark	Claude Opus 4.6	MiniMax M2.1	Leader
AIME	95.6%	77.9%	Claude Opus 4.6
MATH 500 (Vals AI)	Not measured	89.0%	Only MiniMax M2.1 measured
MGSM (Vals AI)	Not measured	87.8%	Only MiniMax M2.1 measured
AA Math Index	Not measured	82.7	Only MiniMax M2.1 measured
AIME 2025 (Artificial Analysis run)	Not measured	82.7%	Only MiniMax M2.1 measured
OTIS Mock AIME	94.4%	Not measured	Only Claude Opus 4.6 measured
FrontierMath, tiers 1 to 3	66.0%	Not measured	Only Claude Opus 4.6 measured
FrontierMath, tier 4	26.8%	Not measured	Only Claude Opus 4.6 measured
ProofBench	50.0%	Not measured	Only Claude Opus 4.6 measured
LMArena Text: math	1518	Not measured	Only Claude Opus 4.6 measured
LMArena Text: mathematical work	1525	Not measured	Only Claude Opus 4.6 measured
MathArena	23.6%	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 2 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70

Knowledge benchmarks for Claude Opus 4.6 and MiniMax M2.1
Benchmark	Claude Opus 4.6	MiniMax M2.1	Leader
MMLU Pro	89.1%	87.0%	Claude Opus 4.6
LegalBench (Vals AI)	85.3%	75.5%	Claude Opus 4.6
CaseLaw (Vals AI)	62.1%	55.8%	Claude Opus 4.6
CorpFin (Vals AI)	67.0%	58.9%	Claude Opus 4.6
TaxEval (Vals AI)	76.0%	66.3%	Claude Opus 4.6
MortgageTax (Vals AI)	68.5%	Not measured	Only Claude Opus 4.6 measured
MedQA (Vals AI)	95.4%	91.2%	Claude Opus 4.6
MedCode (Vals AI)	49.1%	34.1%	Claude Opus 4.6
MMLU Pro (Artificial Analysis run)	Not measured	87.5%	Only MiniMax M2.1 measured
SimpleQA Verified	47.0%	Not measured	Only Claude Opus 4.6 measured
LMArena Text: science	1519	Not measured	Only Claude Opus 4.6 measured
LMArena Text: medicine and healthcare	1504	Not measured	Only Claude Opus 4.6 measured
LMArena Text: legal and government	1512	Not measured	Only Claude Opus 4.6 measured
LMArena Text: business and finance	1497	Not measured	Only Claude Opus 4.6 measured
FACTS Benchmark Suite	41.5%	Not measured	Only Claude Opus 4.6 measured
PRBench Finance	53.3%	Not measured	Only Claude Opus 4.6 measured
PRBench Legal	52.3%	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 3 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index70

Web design benchmarks for Claude Opus 4.6 and MiniMax M2.1
Benchmark	Claude Opus 4.6	MiniMax M2.1	Leader
Design Arena: websites	1291	1201	Claude Opus 4.6
Design Arena: UI components	1282	1220	Claude Opus 4.6
Design Arena: game dev	1277	1134	Claude Opus 4.6
Design Arena: data viz	1280	1206	Claude Opus 4.6
Design Arena: 3D	1273	1164	Claude Opus 4.6
Design Arena: all code categories	1288	1190	Claude Opus 4.6
Design Arena: SVG	1227	1131	Claude Opus 4.6
Design Arena: ASCII art	1255	Not measured	Only Claude Opus 4.6 measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index21

General benchmarks for Claude Opus 4.6 and MiniMax M2.1
Benchmark	Claude Opus 4.6	MiniMax M2.1	Leader
SAGE (Vals AI)	51.6%	Not measured	Only Claude Opus 4.6 measured
MedScribe (Vals AI)	86.7%	80.8%	Claude Opus 4.6
IFBench	53.1%	69.9%	MiniMax M2.1
Long context reasoning (AA-LCR)	78.0%	67.7%	Claude Opus 4.6
DTBench	91.2%	Not measured	Only Claude Opus 4.6 measured
LMCA	55.8%	Not measured	Only Claude Opus 4.6 measured
CL-bench	20.7%	Not measured	Only Claude Opus 4.6 measured
Furniture assembly	28.3%	Not measured	Only Claude Opus 4.6 measured
CL-bench Life	17.0%	Not measured	Only Claude Opus 4.6 measured
LMArena Text	1501	Not measured	Only Claude Opus 4.6 measured
LMArena Text: instruction following	1521	Not measured	Only Claude Opus 4.6 measured
LMArena Text: creative writing	1505	Not measured	Only Claude Opus 4.6 measured
LMArena Vision	1316	Not measured	Only Claude Opus 4.6 measured
LMArena Text: English	1511	Not measured	Only Claude Opus 4.6 measured
LMArena Text: non-English	1488	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Chinese	1551	Not measured	Only Claude Opus 4.6 measured
LMArena Text: German	1500	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Japanese	1488	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Korean	1464	Not measured	Only Claude Opus 4.6 measured
LMArena Text: French	1512	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Spanish	1510	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Russian	1497	Not measured	Only Claude Opus 4.6 measured
LMArena Text: Polish	1499	Not measured	Only Claude Opus 4.6 measured
LMArena Text: multi-turn	1511	Not measured	Only Claude Opus 4.6 measured
LMArena Text: longer queries	1518	Not measured	Only Claude Opus 4.6 measured
LMArena Text: writing and language	1502	Not measured	Only Claude Opus 4.6 measured
LMArena Text: entertainment and media	1492	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: English	1324	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: Chinese	1370	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: reading text	1326	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: humor	1314	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: recognizing things	1274	Not measured	Only Claude Opus 4.6 measured
LMArena Vision: creative writing	1331	Not measured	Only Claude Opus 4.6 measured
LMArena Document	1507	Not measured	Only Claude Opus 4.6 measured
MultiChallenge	56.0%	Not measured	Only Claude Opus 4.6 measured
EQ-Bench 4	1223	Not measured	Only Claude Opus 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 Opus 4.6 and MiniMax M2.1
Benchmark	Claude Opus 4.6	MiniMax M2.1	Leader
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 M2.1$0.0009Fits in one request

MiniMax M2.1 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request

MiniMax M2.1$0.019Fits in one request

MiniMax M2.1 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request

MiniMax M2.1$0.072Exceeds the context window

MiniMax M2.1 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 M2.1
Specification	Anthropic Claude Opus 4.6	MiniMax M2.1
Maker	Anthropic	MiniMax
Weights	No public weights listed	Open weights
Released	February 4, 2026	December 23, 2025
Context window	1M	205K
Input $/Mtok	$5.00	$0.30
Output $/Mtok	$25.00	$1.20
Coding index	57.2	Not benchmarked
Independent measurements behind it	4	1
Cost per solved task	$1.56	$0.59
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Opus 4.6 better than MiniMax M2.1 for coding?

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; MiniMax M2.1 has none, so the two cannot be ranked on coding. Pick MiniMax M2.1 for output tokens 20.8x cheaper ($1.20 vs $25.00 per million) and a lower cost per solved task ($0.59 against $1.56).

Which is cheaper, Claude Opus 4.6 or MiniMax M2.1?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; MiniMax M2.1 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and MiniMax M2.1 $0.59.

Which has the bigger context window, Claude Opus 4.6 or MiniMax M2.1?

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

How many benchmarks is the Claude Opus 4.6 vs MiniMax M2.1 comparison based on?

27 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 M2.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

Claude Opus 4.6 or MiniMax M2.1: which to pick

Which one for your work

Coding

Intelligence

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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