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Claude Opus 4.8 vs MiniMax M2.7

Claude Opus 4.8 leads MiniMax M2.7 on coding, 65.0 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; 69 benchmarks have a result for both.

Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
66
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
3
vs boards won of 69 shared

Claude Opus 4.8 or MiniMax M2.7: which to pick

Pick Claude Opus 4.8 for coding: it scores 65.0 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 $2.17).

Shared results
69
Claude Opus 4.8 only
61
MiniMax M2.7 only
5
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 4.8 65.0 from 6 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Math, 29.0 points apart on average over 3 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.8 82.7% against MiniMax M2.7 11.9%, 70.8 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against MiniMax M2.7 $1.20 per million output tokens, 20.8x apart.
Context window
Claude Opus 4.8 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 4.8BarsMiniMax M2.7Ties
Coding150
Intelligence20
Agentic work60
Reasoning60
Math30
Knowledge81
Web design80
General182
All shared boards663
CodingLike-for-likeSix of these boards feed the Vibe Coding Index150
Coding benchmarks for Claude Opus 4.8 and MiniMax M2.7
BenchmarkClaude Opus 4.8MiniMax M2.7Leader
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev15561399Claude Opus 4.8
AA Coding Index74.352.6Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%79.9%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%73.8%Claude Opus 4.8
Terminal-Bench 4 (Vals AI)23.2%Not measuredOnly Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)82.7%11.9%Claude Opus 4.8
Code migration (Vals AI)47.3%8.7%Claude Opus 4.8
ProgramBench (Vals AI)1.0%0.0%Claude Opus 4.8
Terminal-Bench 2.1 (Vals AI)71.9%48.7%Claude Opus 4.8
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
SciCode54.4%50.1%Claude Opus 4.8
Terminal-Bench Hard (Artificial Analysis run)58.3%39.4%Claude Opus 4.8
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%37.0%Claude Opus 4.8
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding14901454Claude Opus 4.8
LMArena Text: software and IT14881446Claude Opus 4.8
LMArena WebDev: React15571388Claude Opus 4.8
LMArena WebDev: HTML15431401Claude Opus 4.8
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.8 and MiniMax M2.7
BenchmarkClaude Opus 4.8MiniMax M2.7Leader
AA Intelligence Index41.822.8Claude Opus 4.8
Epoch Capabilities Index159.0145.8Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
Agentic work benchmarks for Claude Opus 4.8 and MiniMax M2.7
BenchmarkClaude Opus 4.8MiniMax M2.7Leader
AA Agentic Index41.915.3Claude Opus 4.8
Design Arena: agents building web apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building mobile apps1223Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Android apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1239Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1171Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1204Not measuredOnly Claude Opus 4.8 measured
Design Arena: spreadsheets1311Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%Not measuredOnly Claude Opus 4.8 measured
LiveBench browser96.0%Not measuredOnly Claude Opus 4.8 measured
LiveBench long agentic48.3%Not measuredOnly Claude Opus 4.8 measured
Finance Agent (Vals AI)53.9%27.9%Claude Opus 4.8
Tax Agent Bench (Vals AI)30.0%6.9%Claude Opus 4.8
Legal Research Bench (Vals AI)43.8%10.6%Claude Opus 4.8
Excel Modeling Benchmark (Vals AI)69.4%28.4%Claude Opus 4.8
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Claude Opus 4.8 measured
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%84.8%Claude Opus 4.8
APEX-Agents48.9%Not measuredOnly Claude Opus 4.8 measured
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%Not measuredOnly Claude Opus 4.8 measured
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
Vending-Bench 2$5,787Not measuredOnly Claude Opus 4.8 measured
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Opus 4.8 and MiniMax M2.7
BenchmarkClaude Opus 4.8MiniMax M2.7Leader
GPQA Diamond92.4%86.6%Claude Opus 4.8
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Claude Opus 4.8 measured
GPQA Diamond (Artificial Analysis run)92.0%87.4%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%29.6%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI92.5%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI-272.1%Not measuredOnly Claude Opus 4.8 measured
SimpleBench64.8%Not measuredOnly Claude Opus 4.8 measured
Chess puzzles52.0%Not measuredOnly Claude Opus 4.8 measured
Mystery game puzzles36.0%Not measuredOnly Claude Opus 4.8 measured
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts14821422Claude Opus 4.8
LMArena Text: expert15031443Claude Opus 4.8
LMArena Text: hard prompts in English14871441Claude Opus 4.8
LMArena Vision: diagrams1315Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.8 measured
Kagi LLM Benchmark88.8%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.8 and MiniMax M2.7
BenchmarkClaude Opus 4.8MiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
OTIS Mock AIME98.3%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tiers 1 to 380.0%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tier 456.1%Not measuredOnly Claude Opus 4.8 measured
ProofBench69.0%3.0%Claude Opus 4.8
LMArena Text: math14861421Claude Opus 4.8
LMArena Text: mathematical work14971437Claude Opus 4.8
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index81
Knowledge benchmarks for Claude Opus 4.8 and MiniMax M2.7
BenchmarkClaude Opus 4.8MiniMax M2.7Leader
MMLU Pro89.6%80.4%Claude Opus 4.8
LegalBench (Vals AI)83.6%84.0%MiniMax M2.7
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)66.7%61.2%Claude Opus 4.8
TaxEval (Vals AI)75.6%66.6%Claude Opus 4.8
MortgageTax (Vals AI)69.9%Not measuredOnly Claude Opus 4.8 measured
MedCode (Vals AI)53.2%34.4%Claude Opus 4.8
SimpleQA Verified53.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: science14771416Claude Opus 4.8
LMArena Text: medicine and healthcare14641409Claude Opus 4.8
LMArena Text: legal and government14771403Claude Opus 4.8
LMArena Text: business and finance14581407Claude Opus 4.8
FACTS Benchmark Suite53.5%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 4.8 and MiniMax M2.7
BenchmarkClaude Opus 4.8MiniMax M2.7Leader
Design Arena: websites12581242Claude Opus 4.8
Design Arena: UI components12551207Claude Opus 4.8
Design Arena: game dev12641209Claude Opus 4.8
Design Arena: data viz12401233Claude Opus 4.8
Design Arena: 3D12221194Claude Opus 4.8
Design Arena: all code categories12551233Claude Opus 4.8
Design Arena: SVG11941137Claude Opus 4.8
Design Arena: ASCII art12771136Claude Opus 4.8
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index182
General benchmarks for Claude Opus 4.8 and MiniMax M2.7
BenchmarkClaude Opus 4.8MiniMax M2.7Leader
LiveBench data analysis66.0%Not measuredOnly Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)68.1%Not measuredOnly Claude Opus 4.8 measured
SAGE (Vals AI)54.8%Not measuredOnly Claude Opus 4.8 measured
MedScribe (Vals AI)85.8%79.9%Claude Opus 4.8
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)77.7%78.3%MiniMax M2.7
DTBench94.9%Not measuredOnly Claude Opus 4.8 measured
LMCA57.5%Not measuredOnly Claude Opus 4.8 measured
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14611405Claude Opus 4.8
LMArena Text: instruction following14761405Claude Opus 4.8
LMArena Text: creative writing14541354Claude Opus 4.8
LMArena Vision1294Not measuredOnly Claude Opus 4.8 measured
LMArena Text: English14681426Claude Opus 4.8
LMArena Text: non-English14501382Claude Opus 4.8
LMArena Text: Chinese15061442Claude Opus 4.8
LMArena Text: German14721398Claude Opus 4.8
LMArena Text: Japanese14421260Claude Opus 4.8
LMArena Text: Korean14311314Claude Opus 4.8
LMArena Text: French14811424Claude Opus 4.8
LMArena Text: Spanish14651402Claude Opus 4.8
LMArena Text: Russian14741383Claude Opus 4.8
LMArena Text: Polish14591387Claude Opus 4.8
LMArena Text: multi-turn14761412Claude Opus 4.8
LMArena Text: longer queries14831418Claude Opus 4.8
LMArena Text: writing and language14611376Claude Opus 4.8
LMArena Text: entertainment and media14401360Claude Opus 4.8
LMArena Vision: English1293Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: Chinese1346Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: reading text1303Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: humor1282Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: creative writing1301Not measuredOnly Claude Opus 4.8 measured
LMArena Document1475Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.8 and MiniMax M2.7
BenchmarkClaude Opus 4.8MiniMax 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 4.8$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 4.8$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 4.8$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 4.8 and MiniMax M2.7
SpecificationAnthropic Claude Opus 4.8MiniMax M2.7
MakerAnthropicMiniMax
WeightsNo public weights listedOpen weights
ReleasedMay 27, 2026March 18, 2026
Context window1M205K
Input $/Mtok$5.00$0.30
Output $/Mtok$25.00$1.20
Coding index65.036.2
Independent measurements behind it63
Cost per solved task$2.17$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than MiniMax M2.7 for coding?

Pick Claude Opus 4.8 for coding: it scores 65.0 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 $2.17).

Which is cheaper, Claude Opus 4.8 or MiniMax M2.7?

Claude Opus 4.8 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 4.8 costs $2.17 and MiniMax M2.7 $0.64.

Which has the bigger context window, Claude Opus 4.8 or MiniMax M2.7?

Claude Opus 4.8, with 1M tokens against 205K.

How many benchmarks is the Claude Opus 4.8 vs MiniMax M2.7 comparison based on?

69 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.8's coding index rests on 6 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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