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Claude Opus 4.8 vs MiMo-V2.5-Pro

Updated October 21, 2026. 69 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 4.8 Replace MiMo-V2.5-Pro
Claude Opus 4.8Anthropic
Coding
66.0
Overall
41.8
Output $/M
$25.00
49
MiMo-V2.5-ProXiaomi
Coding
40.0
Overall
26.0
Output $/M
$0.609
20
vs boards won of 69 shared

Decision reading

Pick Claude Opus 4.8 for coding: it scores 66.0 on the Vibe Coding Index against 40.0 for MiMo-V2.5-Pro.

Pick MiMo-V2.5-Pro when output tokens cost 41.1x less, or when a solved task costs $0.03 against $2.17.

Model AClaude Opus 4.8Anthropic66.0/1002 independent benchmarks$2.17 per solved taskModel BMiMo-V2.5-ProXiaomi40.0/1001 independent benchmark$0.03 per solved task
Shared results
69
Claude Opus 4.8 only
57
MiMo-V2.5-Pro only
1
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 66.0 from 2 benchmarks, MiMo-V2.5-Pro 40.0 from 1 benchmark.
Widest category
Math, 16.3 points apart on average over 3 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.8 82.7% against MiMo-V2.5-Pro 34.1%, 48.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against MiMo-V2.5-Pro $0.609 per million output tokens, 41.1x apart.
Context window
Claude Opus 4.8 takes 1M tokens, MiMo-V2.5-Pro 1.05M.

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 4.8BarsMiMo-V2.5-ProTies
Coding122
Intelligence10
Agentic work60
Reasoning42
Math30
Knowledge63
Web design44
General139
All shared boards4920
CodingLike-for-likeFour of these boards feed the Vibe Coding Index122
Coding benchmarks for Claude Opus 4.8 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.8MiMo-V2.5-ProLeader
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev15561480Claude Opus 4.8
AA Coding Index74.360.2Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%81.3%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%74.0%Claude Opus 4.8
Terminal-Bench 4 (Vals AI)23.2%0.5%Claude Opus 4.8
Vibe Code Bench (Vals AI)82.7%34.1%Claude Opus 4.8
Code migration (Vals AI)47.3%21.6%Claude Opus 4.8
ProgramBench (Vals AI)1.0%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)71.9%57.3%Claude Opus 4.8
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
SciCode54.4%50.6%Claude Opus 4.8
Terminal-Bench Hard (Artificial Analysis run)58.3%43.2%Claude Opus 4.8
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%Not measuredOnly Claude Opus 4.8 measured
ALE-BenchNot measured899.8Only MiMo-V2.5-Pro measured
LMArena Text: coding14901501MiMo-V2.5-Pro
LMArena Text: software and IT14881495MiMo-V2.5-Pro
LMArena WebDev: React15571469Claude Opus 4.8
LMArena WebDev: HTML15431473Claude Opus 4.8
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.8 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.8MiMo-V2.5-ProLeader
AA Intelligence Index41.826.0Claude Opus 4.8
Epoch Capabilities Index159.0Not measuredOnly Claude Opus 4.8 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
Agentic work benchmarks for Claude Opus 4.8 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.8MiMo-V2.5-ProLeader
AA Agentic Index41.921.3Claude 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 apps1222Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Android apps1237Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1238Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1221Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1227Not 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%41.5%Claude Opus 4.8
Tax Agent Bench (Vals AI)30.0%11.5%Claude Opus 4.8
Legal Research Bench (Vals AI)43.8%15.9%Claude Opus 4.8
Excel Modeling Benchmark (Vals AI)69.4%55.2%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%94.2%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 13 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index42
Reasoning benchmarks for Claude Opus 4.8 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.8MiMo-V2.5-ProLeader
GPQA Diamond92.4%82.6%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%86.6%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%35.7%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 prompts14821486MiMo-V2.5-Pro
LMArena Text: expert15031501Claude Opus 4.8
LMArena Text: hard prompts in English14871494MiMo-V2.5-Pro
LMArena Vision: diagrams1315Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: homework1337Not 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 MiMo-V2.5-Pro
BenchmarkClaude Opus 4.8MiMo-V2.5-ProLeader
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%22.0%Claude Opus 4.8
LMArena Text: math14861481Claude Opus 4.8
LMArena Text: mathematical work14971491Claude Opus 4.8
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index63
Knowledge benchmarks for Claude Opus 4.8 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.8MiMo-V2.5-ProLeader
MMLU Pro89.6%84.6%Claude Opus 4.8
LegalBench (Vals AI)83.6%77.1%Claude Opus 4.8
CorpFin (Vals AI)66.7%61.4%Claude Opus 4.8
TaxEval (Vals AI)75.6%73.8%Claude Opus 4.8
MortgageTax (Vals AI)69.9%Not measuredOnly Claude Opus 4.8 measured
MedCode (Vals AI)53.2%32.5%Claude Opus 4.8
SimpleQA Verified53.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: science14771482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14641473MiMo-V2.5-Pro
LMArena Text: legal and government14771474Claude Opus 4.8
LMArena Text: business and finance14581466MiMo-V2.5-Pro
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index44
Web design benchmarks for Claude Opus 4.8 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.8MiMo-V2.5-ProLeader
Design Arena: websites12581267MiMo-V2.5-Pro
Design Arena: UI components12561248Claude Opus 4.8
Design Arena: game dev12641261Claude Opus 4.8
Design Arena: data viz12401257MiMo-V2.5-Pro
Design Arena: 3D12231244MiMo-V2.5-Pro
Design Arena: all code categories12551266MiMo-V2.5-Pro
Design Arena: SVG11941181Claude Opus 4.8
Design Arena: ASCII art12761157Claude Opus 4.8
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index139
General benchmarks for Claude Opus 4.8 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.8MiMo-V2.5-ProLeader
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%83.7%Claude Opus 4.8
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)77.7%79.7%MiMo-V2.5-Pro
DTBench94.9%84.5%Claude Opus 4.8
LMCA57.5%29.5%Claude Opus 4.8
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
LMArena Text14611464MiMo-V2.5-Pro
LMArena Text: instruction following14761475Claude Opus 4.8
LMArena Text: creative writing14541438Claude Opus 4.8
LMArena Vision1294Not measuredOnly Claude Opus 4.8 measured
LMArena Text: English14681477MiMo-V2.5-Pro
LMArena Text: non-English14501448Claude Opus 4.8
LMArena Text: Chinese15061507MiMo-V2.5-Pro
LMArena Text: German14721459Claude Opus 4.8
LMArena Text: Japanese14421410Claude Opus 4.8
LMArena Text: Korean14311435MiMo-V2.5-Pro
LMArena Text: French14811487MiMo-V2.5-Pro
LMArena Text: Spanish14651469MiMo-V2.5-Pro
LMArena Text: Russian14741449Claude Opus 4.8
LMArena Text: Polish14591464MiMo-V2.5-Pro
LMArena Text: multi-turn14761476Claude Opus 4.8
LMArena Text: longer queries14831481Claude Opus 4.8
LMArena Text: writing and language14611451Claude Opus 4.8
LMArena Text: entertainment and media14401438Claude 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 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.8 and MiMo-V2.5-Pro
BenchmarkClaude Opus 4.8MiMo-V2.5-ProLeader
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
MiMo-V2.5-Pro$0.0006Fits in one request

MiMo-V2.5-Pro costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
MiMo-V2.5-Pro$0.017Fits in one request

MiMo-V2.5-Pro costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits in one request
MiMo-V2.5-Pro$0.067Fits in one request

MiMo-V2.5-Pro 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 MiMo-V2.5-Pro
SpecificationAnthropic Claude Opus 4.8Xiaomi MiMo-V2.5-Pro
MakerAnthropicXiaomi
WeightsNo public weights listedOpen weights
ReleasedMay 27, 2026April 22, 2026
Context window1M1.05M
Input $/Mtok$5.00$0.3045
Output $/Mtok$25.00$0.609
Coding index66.040.0
Independent measurements behind it21
Cost per solved task$2.17$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than MiMo-V2.5-Pro for coding?

Pick Claude Opus 4.8 for coding: it scores 66.0 on the Vibe Coding Index against 40.0 for MiMo-V2.5-Pro. Pick MiMo-V2.5-Pro when output tokens cost 41.1x less, or when a solved task costs $0.03 against $2.17.

Which is cheaper, Claude Opus 4.8 or MiMo-V2.5-Pro?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; MiMo-V2.5-Pro costs $0.3045 and $0.609. Per solved SWE-bench Verified task, Claude Opus 4.8 costs $2.17 and MiMo-V2.5-Pro $0.03.

Which has the bigger context window, Claude Opus 4.8 or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.8 vs MiMo-V2.5-Pro comparison based on?

69 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.8's coding index rests on 2 independent benchmarks and MiMo-V2.5-Pro's on 1. Where only one model has a result, the page says so instead of naming a winner.

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