Claude Opus 4.5 vs MiniMax M2

Claude Opus 4.5 leads MiniMax M2 on the Artificial Analysis Intelligence Index, 29.1 to 18.6, and MiniMax M2 costs 24.5x less per output token ($1.02 vs $25.00 per million). Updated October 22, 2026; 50 benchmarks have a result for both.

Replace Claude Opus 4.5 Replace MiniMax M2

Claude Opus 4.5Anthropic

Coding: 44.0
Overall: 55.7
Output $/M: $25.00

MiniMax M2MiniMax

Coding: No data
Overall: No data
Output $/M: $1.02

vs boards won of 50 shared

Claude Opus 4.5 or MiniMax M2: which to pick

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; MiniMax M2 has none, so the two cannot be ranked on coding.

Pick MiniMax M2 for output tokens 24.5x cheaper ($1.02 vs $25.00 per million) and a lower cost per solved task ($0.702 against $1.37).

Model AClaude Opus 4.5Anthropic44.0/1003 independent benchmarks$1.37 per solved task Model BMiniMax M2MiniMaxNot benchmarked1 independent benchmark$0.702 per solved task

5058

Shared results: 50
Claude Opus 4.5 only: 58
MiniMax M2 only: 0
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 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.5
Claude Opus 4.5 leads, 29.1 against 18.6.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.5 has a GPQA Diamond result, 85.9%.
Directional only
Math
AIME
No call
Only Claude Opus 4.5 has a AIME result, 95.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.5 has a MMLU Pro result, 87.3%.
Directional only
Web design
Design Arena: websites
Claude Opus 4.5
Claude Opus 4.5 leads, 1247 against 1143.
Same board, both measured
Long documents
Listed context window
MiniMax M2
MiniMax M2 takes 205K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2
Claude Opus 4.5 $0.018, MiniMax M2 $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiniMax M2
Claude Opus 4.5 $1.37, MiniMax M2 $0.702.
Published attempt cost and pass rate

At a glance

Coding index: Claude Opus 4.5 44.0 from 3 benchmarks, MiniMax M2 not benchmarked.
Widest category: Coding, 22.5 points apart on average over 8 shared benchmarks.
Widest single gap: LMArena WebDev: HTML: Claude Opus 4.5 1510 against MiniMax M2 1306, 34.0 points apart on a 0 to 100 scale.
Output price: Claude Opus 4.5 $25.00 against MiniMax M2 $1.02 per million output tokens, 24.5x apart.
Context window: Claude Opus 4.5 takes 200K 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
Category	Claude Opus 4.5	MiniMax M2
Coding	8	0
Intelligence	1	0
Agentic work	2	0
Reasoning	6	0
Math	4	0
Knowledge	5	0
Web design	7	0
General	16	1
All shared boards	49	1

CodingLike-for-likeSix of these boards feed the Vibe Coding Index80

Coding benchmarks for Claude Opus 4.5 and MiniMax M2
Benchmark	Claude Opus 4.5	MiniMax M2	Leader
SWE-bench Verified	79.2%	61.0%	Claude Opus 4.5
SWE-bench (full test set)	52.6%	Not measured	Only Claude Opus 4.5 measured
SWE-bench Multilingual	70.7%	Not measured	Only Claude Opus 4.5 measured
LMArena WebDev	1494	1297	Claude Opus 4.5
LiveCodeBench (Vals AI)	83.7%	Not measured	Only Claude Opus 4.5 measured
SWE-bench Verified (Vals AI)	76.4%	Not measured	Only Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)	20.6%	Not measured	Only Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)	87.1%	82.6%	Claude Opus 4.5
Terminal-Bench Hard (Artificial Analysis run)	47.0%	25.8%	Claude Opus 4.5
Terminal-Bench	63.1%	30.0%	Claude Opus 4.5
GSO-Bench	26.5%	Not measured	Only Claude Opus 4.5 measured
WeirdML	63.7%	Not measured	Only Claude Opus 4.5 measured
Cybench	82.0%	Not measured	Only Claude Opus 4.5 measured
LMArena Text: coding	1503	1371	Claude Opus 4.5
LMArena Text: software and IT	1483	1373	Claude Opus 4.5
LMArena WebDev: React	1478	Not measured	Only Claude Opus 4.5 measured
LMArena WebDev: HTML	1510	1306	Claude Opus 4.5
Neither model has a result on the other 22 boards here

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

Intelligence benchmarks for Claude Opus 4.5 and MiniMax M2
Benchmark	Claude Opus 4.5	MiniMax M2	Leader
AA Intelligence Index	29.1	18.6	Claude Opus 4.5
Epoch Capabilities Index	150.1	Not measured	Only Claude Opus 4.5 measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index20

Agentic work benchmarks for Claude Opus 4.5 and MiniMax M2
Benchmark	Claude Opus 4.5	MiniMax M2	Leader
Design Arena: agents building web apps	1159	Not measured	Only Claude Opus 4.5 measured
Design Arena: agents building full-stack apps	1156	Not measured	Only Claude Opus 4.5 measured
Design Arena: agents building mobile apps	1189	Not measured	Only Claude Opus 4.5 measured
Design Arena: agents building Android apps	1176	Not measured	Only Claude Opus 4.5 measured
τ²-Bench Telecom	89.5%	86.8%	Claude Opus 4.5
METR time horizons	75.0%	Not measured	Only Claude Opus 4.5 measured
Remote Labor Index	3.8%	Not measured	Only Claude Opus 4.5 measured
GDPval	45.5%	Not measured	Only Claude Opus 4.5 measured
BALROG	43.5%	Not measured	Only Claude Opus 4.5 measured
DeepResearch Bench	54.8%	Not measured	Only Claude Opus 4.5 measured
OSWorld	66.3%	Not measured	Only Claude Opus 4.5 measured
Vending-Bench 2	$4,967	$161	Claude Opus 4.5
Berkeley Function Calling Leaderboard (BFCL)	77.5%	Not measured	Only Claude Opus 4.5 measured
Neither model has a result on the other 28 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index60

Reasoning benchmarks for Claude Opus 4.5 and MiniMax M2
Benchmark	Claude Opus 4.5	MiniMax M2	Leader
GPQA Diamond	85.9%	Not measured	Only Claude Opus 4.5 measured
MMMU Pro (Vals AI)	83.0%	Not measured	Only Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)	86.6%	77.7%	Claude Opus 4.5
Humanity's Last Exam (Artificial Analysis run)	30.1%	13.7%	Claude Opus 4.5
GPQA Diamond (Epoch AI run)	86.0%	Not measured	Only Claude Opus 4.5 measured
ARC-AGI	80.0%	Not measured	Only Claude Opus 4.5 measured
ARC-AGI-2	37.6%	Not measured	Only Claude Opus 4.5 measured
SimpleBench	62.0%	Not measured	Only Claude Opus 4.5 measured
Chess puzzles	14.0%	Not measured	Only Claude Opus 4.5 measured
Mystery game puzzles	22.0%	Not measured	Only Claude Opus 4.5 measured
EBR-bench	14.3%	Not measured	Only Claude Opus 4.5 measured
VPCT	40.0%	Not measured	Only Claude Opus 4.5 measured
LMArena Text: hard prompts	1476	1357	Claude Opus 4.5
LMArena Text: expert	1487	1338	Claude Opus 4.5
LMArena Text: hard prompts in English	1482	1376	Claude Opus 4.5
Kagi LLM Benchmark	80.2%	57.8%	Claude Opus 4.5
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 4.5 and MiniMax M2
Benchmark	Claude Opus 4.5	MiniMax M2	Leader
AIME	95.4%	Not measured	Only Claude Opus 4.5 measured
MGSM (Vals AI)	95.2%	Not measured	Only Claude Opus 4.5 measured
AA Math Index	91.3	78.3	Claude Opus 4.5
AIME 2025 (Artificial Analysis run)	91.3%	78.3%	Claude Opus 4.5
OTIS Mock AIME	86.1%	Not measured	Only Claude Opus 4.5 measured
FrontierMath, tiers 1 to 3	34.4%	Not measured	Only Claude Opus 4.5 measured
FrontierMath, tier 4	4.9%	Not measured	Only Claude Opus 4.5 measured
ProofBench	36.0%	Not measured	Only Claude Opus 4.5 measured
LMArena Text: math	1463	1351	Claude Opus 4.5
LMArena Text: mathematical work	1468	1368	Claude Opus 4.5
Neither model has a result on the other 3 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50

Knowledge benchmarks for Claude Opus 4.5 and MiniMax M2
Benchmark	Claude Opus 4.5	MiniMax M2	Leader
MMLU Pro	87.3%	Not measured	Only Claude Opus 4.5 measured
LegalBench (Vals AI)	84.6%	Not measured	Only Claude Opus 4.5 measured
CaseLaw (Vals AI)	62.6%	Not measured	Only Claude Opus 4.5 measured
CorpFin (Vals AI)	65.1%	Not measured	Only Claude Opus 4.5 measured
TaxEval (Vals AI)	74.9%	Not measured	Only Claude Opus 4.5 measured
MortgageTax (Vals AI)	68.7%	Not measured	Only Claude Opus 4.5 measured
MedQA (Vals AI)	95.9%	Not measured	Only Claude Opus 4.5 measured
MedCode (Vals AI)	49.2%	Not measured	Only Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)	89.5%	82.0%	Claude Opus 4.5
SimpleQA Verified	45.7%	Not measured	Only Claude Opus 4.5 measured
GeoBench	75.0%	Not measured	Only Claude Opus 4.5 measured
LMArena Text: science	1454	1348	Claude Opus 4.5
LMArena Text: medicine and healthcare	1444	1367	Claude Opus 4.5
LMArena Text: legal and government	1459	1349	Claude Opus 4.5
LMArena Text: business and finance	1448	1336	Claude Opus 4.5
FACTS Benchmark Suite	43.9%	Not measured	Only Claude Opus 4.5 measured
Neither model has a result on the other 2 boards here

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

Web design benchmarks for Claude Opus 4.5 and MiniMax M2
Benchmark	Claude Opus 4.5	MiniMax M2	Leader
Design Arena: websites	1247	1143	Claude Opus 4.5
Design Arena: UI components	1235	1137	Claude Opus 4.5
Design Arena: game dev	1228	1118	Claude Opus 4.5
Design Arena: data viz	1243	1140	Claude Opus 4.5
Design Arena: 3D	1213	1098	Claude Opus 4.5
Design Arena: all code categories	1242	1135	Claude Opus 4.5
Design Arena: SVG	1180	1100	Claude Opus 4.5
Design Arena: ASCII art	1190	Not measured	Only Claude Opus 4.5 measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index161

General benchmarks for Claude Opus 4.5 and MiniMax M2
Benchmark	Claude Opus 4.5	MiniMax M2	Leader
SAGE (Vals AI)	52.1%	Not measured	Only Claude Opus 4.5 measured
MedScribe (Vals AI)	85.3%	Not measured	Only Claude Opus 4.5 measured
IFBench	58.0%	72.3%	MiniMax M2
Long context reasoning (AA-LCR)	77.3%	64.3%	Claude Opus 4.5
DTBench	89.9%	Not measured	Only Claude Opus 4.5 measured
LMCA	44.5%	Not measured	Only Claude Opus 4.5 measured
CL-bench	21.1%	Not measured	Only Claude Opus 4.5 measured
Furniture assembly	28.3%	Not measured	Only Claude Opus 4.5 measured
LMArena Text	1451	1340	Claude Opus 4.5
LMArena Text: instruction following	1478	1329	Claude Opus 4.5
LMArena Text: creative writing	1445	1286	Claude Opus 4.5
LMArena Text: English	1461	1364	Claude Opus 4.5
LMArena Text: non-English	1438	1313	Claude Opus 4.5
LMArena Text: Chinese	1470	1366	Claude Opus 4.5
LMArena Text: German	1449	1357	Claude Opus 4.5
LMArena Text: Japanese	1417	Not measured	Only Claude Opus 4.5 measured
LMArena Text: Korean	1424	Not measured	Only Claude Opus 4.5 measured
LMArena Text: French	1471	1336	Claude Opus 4.5
LMArena Text: Spanish	1457	1326	Claude Opus 4.5
LMArena Text: Russian	1447	1330	Claude Opus 4.5
LMArena Text: Polish	1439	1312	Claude Opus 4.5
LMArena Text: multi-turn	1466	1361	Claude Opus 4.5
LMArena Text: longer queries	1479	1331	Claude Opus 4.5
LMArena Text: writing and language	1452	1295	Claude Opus 4.5
LMArena Text: entertainment and media	1434	1298	Claude Opus 4.5
LMArena Document	1462	Not measured	Only Claude Opus 4.5 measured
Neither model has a result on the other 20 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Claude Opus 4.5 and MiniMax M2
Benchmark	Claude Opus 4.5	MiniMax M2	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 4.5$0.018Fits in one request

MiniMax M2$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.5$0.325Fits in one request

MiniMax M2$0.016Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.5$1.25Exceeds the context window

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 Opus 4.5 and MiniMax M2
Specification	Anthropic Claude Opus 4.5	MiniMax M2
Maker	Anthropic	MiniMax
Weights	No public weights listed	Open weights
Released	November 24, 2025	October 23, 2025
Context window	200K	205K
Input $/Mtok	$5.00	$0.255
Output $/Mtok	$25.00	$1.02
Coding index	44.0	Not benchmarked
Independent measurements behind it	3	1
Cost per solved task	$1.37	$0.702
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Opus 4.5 better than MiniMax M2 for coding?

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; MiniMax M2 has none, so the two cannot be ranked on coding. Pick MiniMax M2 for output tokens 24.5x cheaper ($1.02 vs $25.00 per million) and a lower cost per solved task ($0.702 against $1.37).

Which is cheaper, Claude Opus 4.5 or MiniMax M2?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Per solved SWE-bench Verified task, Claude Opus 4.5 costs $1.37 and MiniMax M2 $0.702.

Which has the bigger context window, Claude Opus 4.5 or MiniMax M2?

MiniMax M2, with 205K tokens against 200K.

How many benchmarks is the Claude Opus 4.5 vs MiniMax M2 comparison based on?

50 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 independent benchmarks and MiniMax M2's on 1. Where only one model has a result, the page says so instead of naming a winner.

Claude Opus 4.5 or MiniMax M2: 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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