Claude Sonnet 4.5 vs MiniMax M2.7

Claude Sonnet 4.5 leads MiniMax M2.7 on coding, 39.5 to 36.2 on the Vibe Coding Index, and MiniMax M2.7 costs 12.5x less per output token ($1.20 vs $15.00 per million). Updated October 22, 2026; 58 benchmarks have a result for both.

Replace Claude Sonnet 4.5 Replace MiniMax M2.7

Claude Sonnet 4.5Anthropic

Coding: 39.5
Overall: 49.5
Output $/M: $15.00

MiniMax M2.7MiniMax

Coding: 36.2
Overall: 44.5
Output $/M: $1.20

vs boards won of 58 shared

Claude Sonnet 4.5 or MiniMax M2.7: which to pick

Pick Claude Sonnet 4.5 for coding: it scores 39.5 on the Vibe Coding Index against 36.2 for MiniMax M2.7.

Pick MiniMax M2.7 for output tokens 12.5x cheaper ($1.20 vs $15.00 per million) and a lower cost per solved task ($0.64 against $1.16).

Model AClaude Sonnet 4.5Anthropic39.5/1003 independent benchmarks$1.16 per solved task Model BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task

583716

Shared results: 58
Claude Sonnet 4.5 only: 37
MiniMax M2.7 only: 16
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
Claude Sonnet 4.5
Claude Sonnet 4.5 scores 39.5 against 36.2.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
MiniMax M2.7
MiniMax M2.7 leads, 22.8 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
Claude Sonnet 4.5
Claude Sonnet 4.5 leads, 15.8 against 15.3.
Same board, both measured
Reasoning
GPQA Diamond
MiniMax M2.7
MiniMax M2.7 leads, 86.6% against 81.6%.
Same board, both measured
Math
AIME
MiniMax M2.7
MiniMax M2.7 leads, 91.0% against 88.2%.
Same board, both measured
Knowledge
MMLU Pro
Claude Sonnet 4.5
Claude Sonnet 4.5 leads, 87.4% against 80.4%.
Same board, both measured
Web design
Design Arena: websites
MiniMax M2.7
MiniMax M2.7 leads, 1242 against 1189.
Same board, both measured
Long documents
Listed context window
Claude Sonnet 4.5
Claude Sonnet 4.5 takes 1M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2.7
Claude Sonnet 4.5 $0.011, MiniMax M2.7 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiniMax M2.7
Claude Sonnet 4.5 $1.16, MiniMax M2.7 $0.64.
Published attempt cost and pass rate

At a glance

Coding index: Claude Sonnet 4.5 39.5 from 3 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category: General, 8.9 points apart on average over 18 shared benchmarks.
Widest single gap: LMArena Text: Japanese: Claude Sonnet 4.5 1390 against MiniMax M2.7 1260, 21.6 points apart on a 0 to 100 scale.
Output price: Claude Sonnet 4.5 $15.00 against MiniMax M2.7 $1.20 per million output tokens, 12.5x apart.
Context window: Claude Sonnet 4.5 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
Category	Claude Sonnet 4.5	MiniMax M2.7
Coding	5	6
Intelligence	1	1
Agentic work	1	0
Reasoning	3	1
Math	3	1
Knowledge	10	0
Web design	1	7
General	18	0
All shared boards	42	16

CodingLike-for-likeSix of these boards feed the Vibe Coding Index56

Coding benchmarks for Claude Sonnet 4.5 and MiniMax M2.7
Benchmark	Claude Sonnet 4.5	MiniMax M2.7	Leader
SWE-bench Verified	74.8%	Not measured	Only Claude Sonnet 4.5 measured
SWE-bench Multilingual	67.0%	Not measured	Only Claude Sonnet 4.5 measured
LMArena WebDev	1394	1399	MiniMax M2.7
AA Coding Index	52.1	52.6	MiniMax M2.7
LiveCodeBench (Vals AI)	73.0%	79.9%	MiniMax M2.7
SWE-bench Verified (Vals AI)	70.0%	73.8%	MiniMax M2.7
Vibe Code Bench (Vals AI)	22.6%	11.9%	Claude Sonnet 4.5
Code migration (Vals AI)	Not measured	8.7%	Only MiniMax M2.7 measured
ProgramBench (Vals AI)	Not measured	0.0%	Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)	Not measured	48.7%	Only MiniMax M2.7 measured
SciCode	Not measured	50.1%	Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)	Not measured	39.4%	Only MiniMax M2.7 measured
Terminal-Bench	46.5%	45.1%	Claude Sonnet 4.5
GSO-Bench	14.7%	Not measured	Only Claude Sonnet 4.5 measured
WeirdML	47.7%	37.0%	Claude Sonnet 4.5
Cybench	60.0%	Not measured	Only Claude Sonnet 4.5 measured
ALE-Bench	Not measured	599.3	Only MiniMax M2.7 measured
LMArena Text: coding	1488	1454	Claude Sonnet 4.5
LMArena Text: software and IT	1473	1446	Claude Sonnet 4.5
LMArena WebDev: React	1386	1388	MiniMax M2.7
LMArena WebDev: HTML	1399	1401	MiniMax M2.7
Neither model has a result on the other 18 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11

Intelligence benchmarks for Claude Sonnet 4.5 and MiniMax M2.7
Benchmark	Claude Sonnet 4.5	MiniMax M2.7	Leader
AA Intelligence Index	20.7	22.8	MiniMax M2.7
Epoch Capabilities Index	146.7	145.8	Claude Sonnet 4.5

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

Agentic work benchmarks for Claude Sonnet 4.5 and MiniMax M2.7
Benchmark	Claude Sonnet 4.5	MiniMax M2.7	Leader
AA Agentic Index	15.8	15.3	Claude Sonnet 4.5
Design Arena: agents building web apps	1060	Not measured	Only Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps	1050	Not measured	Only Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps	1137	Not measured	Only Claude Sonnet 4.5 measured
Finance Agent (Vals AI)	Not measured	27.9%	Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)	Not measured	6.9%	Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)	Not measured	10.6%	Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)	Not measured	28.4%	Only MiniMax M2.7 measured
τ²-Bench Telecom	Not measured	84.8%	Only MiniMax M2.7 measured
METR time horizons	67.4%	Not measured	Only Claude Sonnet 4.5 measured
Remote Labor Index	2.1%	Not measured	Only Claude Sonnet 4.5 measured
GDPval	42.5%	Not measured	Only Claude Sonnet 4.5 measured
DeepResearch Bench	52.6%	Not measured	Only Claude Sonnet 4.5 measured
OSWorld	62.9%	Not measured	Only Claude Sonnet 4.5 measured
Vending-Bench 2	$3,839	Not measured	Only Claude Sonnet 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)	73.2%	Not measured	Only Claude Sonnet 4.5 measured
Neither model has a result on the other 25 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index31

Reasoning benchmarks for Claude Sonnet 4.5 and MiniMax M2.7
Benchmark	Claude Sonnet 4.5	MiniMax M2.7	Leader
GPQA Diamond	81.6%	86.6%	MiniMax M2.7
MMMU Pro (Vals AI)	79.3%	Not measured	Only Claude Sonnet 4.5 measured
GPQA Diamond (Artificial Analysis run)	Not measured	87.4%	Only MiniMax M2.7 measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	29.6%	Only MiniMax M2.7 measured
GPQA Diamond (Epoch AI run)	82.3%	Not measured	Only Claude Sonnet 4.5 measured
ARC-AGI	63.7%	Not measured	Only Claude Sonnet 4.5 measured
ARC-AGI-2	13.6%	Not measured	Only Claude Sonnet 4.5 measured
SimpleBench	54.3%	Not measured	Only Claude Sonnet 4.5 measured
Chess puzzles	10.0%	Not measured	Only Claude Sonnet 4.5 measured
Mystery game puzzles	17.0%	Not measured	Only Claude Sonnet 4.5 measured
EBR-bench	2.4%	Not measured	Only Claude Sonnet 4.5 measured
VPCT	39.8%	Not measured	Only Claude Sonnet 4.5 measured
LMArena Text: hard prompts	1462	1422	Claude Sonnet 4.5
LMArena Text: expert	1483	1443	Claude Sonnet 4.5
LMArena Text: hard prompts in English	1471	1441	Claude Sonnet 4.5
Kagi LLM Benchmark	57.9%	Not measured	Only Claude Sonnet 4.5 measured
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index31

Math benchmarks for Claude Sonnet 4.5 and MiniMax M2.7
Benchmark	Claude Sonnet 4.5	MiniMax M2.7	Leader
AIME	88.2%	91.0%	MiniMax M2.7
MGSM (Vals AI)	94.3%	Not measured	Only Claude Sonnet 4.5 measured
OTIS Mock AIME	77.8%	Not measured	Only Claude Sonnet 4.5 measured
FrontierMath, tiers 1 to 3	23.9%	Not measured	Only Claude Sonnet 4.5 measured
FrontierMath, tier 4	2.4%	Not measured	Only Claude Sonnet 4.5 measured
ProofBench	19.0%	3.0%	Claude Sonnet 4.5
MATH level 5	97.7%	Not measured	Only Claude Sonnet 4.5 measured
LMArena Text: math	1449	1421	Claude Sonnet 4.5
LMArena Text: mathematical work	1462	1437	Claude Sonnet 4.5
Neither model has a result on the other 4 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100

Knowledge benchmarks for Claude Sonnet 4.5 and MiniMax M2.7
Benchmark	Claude Sonnet 4.5	MiniMax M2.7	Leader
MMLU Pro	87.4%	80.4%	Claude Sonnet 4.5
LegalBench (Vals AI)	84.1%	84.0%	Claude Sonnet 4.5
CaseLaw (Vals AI)	62.2%	60.9%	Claude Sonnet 4.5
CorpFin (Vals AI)	62.0%	61.2%	Claude Sonnet 4.5
TaxEval (Vals AI)	73.3%	66.6%	Claude Sonnet 4.5
MortgageTax (Vals AI)	64.0%	Not measured	Only Claude Sonnet 4.5 measured
MedQA (Vals AI)	94.7%	Not measured	Only Claude Sonnet 4.5 measured
MedCode (Vals AI)	44.1%	34.4%	Claude Sonnet 4.5
SimpleQA Verified	30.7%	Not measured	Only Claude Sonnet 4.5 measured
LMArena Text: science	1448	1416	Claude Sonnet 4.5
LMArena Text: medicine and healthcare	1444	1409	Claude Sonnet 4.5
LMArena Text: legal and government	1451	1403	Claude Sonnet 4.5
LMArena Text: business and finance	1440	1407	Claude Sonnet 4.5
FACTS Benchmark Suite	40.6%	Not measured	Only Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index17

Web design benchmarks for Claude Sonnet 4.5 and MiniMax M2.7
Benchmark	Claude Sonnet 4.5	MiniMax M2.7	Leader
Design Arena: websites	1189	1242	MiniMax M2.7
Design Arena: UI components	1170	1207	MiniMax M2.7
Design Arena: game dev	1166	1209	MiniMax M2.7
Design Arena: data viz	1167	1233	MiniMax M2.7
Design Arena: 3D	1157	1194	MiniMax M2.7
Design Arena: all code categories	1182	1233	MiniMax M2.7
Design Arena: SVG	1114	1137	MiniMax M2.7
Design Arena: ASCII art	1205	1136	Claude Sonnet 4.5
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index180

General benchmarks for Claude Sonnet 4.5 and MiniMax M2.7
Benchmark	Claude Sonnet 4.5	MiniMax M2.7	Leader
SAGE (Vals AI)	36.1%	Not measured	Only Claude Sonnet 4.5 measured
MedScribe (Vals AI)	84.5%	79.9%	Claude Sonnet 4.5
IFBench	Not measured	75.7%	Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)	Not measured	78.3%	Only MiniMax M2.7 measured
DTBench	83.2%	Not measured	Only Claude Sonnet 4.5 measured
LMCA	38.8%	Not measured	Only Claude Sonnet 4.5 measured
ExploitBench	Not measured	13.3%	Only MiniMax M2.7 measured
LMArena Text	1438	1405	Claude Sonnet 4.5
LMArena Text: instruction following	1459	1405	Claude Sonnet 4.5
LMArena Text: creative writing	1442	1354	Claude Sonnet 4.5
LMArena Text: English	1450	1426	Claude Sonnet 4.5
LMArena Text: non-English	1425	1382	Claude Sonnet 4.5
LMArena Text: Chinese	1460	1442	Claude Sonnet 4.5
LMArena Text: German	1427	1398	Claude Sonnet 4.5
LMArena Text: Japanese	1390	1260	Claude Sonnet 4.5
LMArena Text: Korean	1402	1314	Claude Sonnet 4.5
LMArena Text: French	1459	1424	Claude Sonnet 4.5
LMArena Text: Spanish	1458	1402	Claude Sonnet 4.5
LMArena Text: Russian	1437	1383	Claude Sonnet 4.5
LMArena Text: Polish	1423	1387	Claude Sonnet 4.5
LMArena Text: multi-turn	1465	1412	Claude Sonnet 4.5
LMArena Text: longer queries	1475	1418	Claude Sonnet 4.5
LMArena Text: writing and language	1442	1376	Claude Sonnet 4.5
LMArena Text: entertainment and media	1428	1360	Claude Sonnet 4.5
LMArena Document	1450	Not measured	Only Claude Sonnet 4.5 measured
Neither model has a result on the other 21 boards here

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

Image generation benchmarks for Claude Sonnet 4.5 and MiniMax M2.7
Benchmark	Claude Sonnet 4.5	MiniMax M2.7	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 Sonnet 4.5$0.011Fits in one request

MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.5$0.195Fits in one request

MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.5$0.750Fits 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 Sonnet 4.5 and MiniMax M2.7
Specification	Anthropic Claude Sonnet 4.5	MiniMax M2.7
Maker	Anthropic	MiniMax
Weights	No public weights listed	Open weights
Released	September 29, 2025	March 18, 2026
Context window	1M	205K
Input $/Mtok	$3.00	$0.30
Output $/Mtok	$15.00	$1.20
Coding index	39.5	36.2
Independent measurements behind it	3	3
Cost per solved task	$1.16	$0.64
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Sonnet 4.5 better than MiniMax M2.7 for coding?

Pick Claude Sonnet 4.5 for coding: it scores 39.5 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for output tokens 12.5x cheaper ($1.20 vs $15.00 per million) and a lower cost per solved task ($0.64 against $1.16).

Which is cheaper, Claude Sonnet 4.5 or MiniMax M2.7?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Claude Sonnet 4.5 costs $1.16 and MiniMax M2.7 $0.64.

Which has the bigger context window, Claude Sonnet 4.5 or MiniMax M2.7?

Claude Sonnet 4.5, with 1M tokens against 205K.

How many benchmarks is the Claude Sonnet 4.5 vs MiniMax M2.7 comparison based on?

58 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 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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Claude Sonnet 4.5 or MiniMax M2.7: which to pick

Which one for your work

Coding

Intelligence

Agentic work

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

Compare next