Enter opens the highlighted result. Esc closes.

Claude Opus 4.8 vs MiMo-V2.5

Claude Opus 4.8 leads MiMo-V2.5 on coding, 65.0 to 50.0 on the Vibe Coding Index, and MiMo-V2.5 costs 74.4x less per output token ($0.336 vs $25.00 per million). Updated October 22, 2026; 78 benchmarks have a result for both.

Replace Claude Opus 4.8 Replace MiMo-V2.5
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
73
MiMo-V2.5Xiaomi
Coding
50.0
Overall
50.7
Output $/M
$0.336
4
vs boards won of 78 shared, 1 tied

Claude Opus 4.8 or MiMo-V2.5: which to pick

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 50.0 for MiMo-V2.5.

Pick MiMo-V2.5 for output tokens 74.4x cheaper ($0.336 vs $25.00 per million) and a lower cost per solved task ($0.01 against $2.17).

Model AClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved taskModel BMiMo-V2.5Xiaomi50.0/1003 independent benchmarks$0.01 per solved task
Shared results
78
Claude Opus 4.8 only
52
MiMo-V2.5 only
2
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, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category
Math, 23.0 points apart on average over 3 shared benchmarks.
Widest single gap
ProofBench: Claude Opus 4.8 69.0% against MiMo-V2.5 16.0%, 53.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against MiMo-V2.5 $0.336 per million output tokens, 74.4x apart.
Context window
Claude Opus 4.8 takes 1M tokens, MiMo-V2.5 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-V2.5Ties
Coding130
Intelligence10
Agentic work60
Reasoning90
Math30
Knowledge100
Web design431 tie
General271
All shared boards7341 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index130
Coding benchmarks for Claude Opus 4.8 and MiMo-V2.5
BenchmarkClaude Opus 4.8MiMo-V2.5Leader
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev15561438Claude Opus 4.8
AA Coding Index74.356.8Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%81.5%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%71.0%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%42.2%Claude Opus 4.8
Code migration (Vals AI)47.3%14.2%Claude Opus 4.8
ProgramBench (Vals AI)1.0%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)71.9%60.7%Claude Opus 4.8
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
SciCode54.4%43.9%Claude Opus 4.8
Terminal-Bench Hard (Artificial Analysis run)58.3%41.7%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 measured514.0Only MiMo-V2.5 measured
LMArena Text: coding14901469Claude Opus 4.8
LMArena Text: software and IT14881463Claude Opus 4.8
LMArena WebDev: React15571425Claude Opus 4.8
LMArena WebDev: HTML15431429Claude Opus 4.8
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
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
BenchmarkClaude Opus 4.8MiMo-V2.5Leader
AA Intelligence Index41.821.8Claude 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
BenchmarkClaude Opus 4.8MiMo-V2.5Leader
AA Agentic Index41.915.8Claude 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 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 slides1202Not measuredOnly Claude Opus 4.8 measured
Design Arena: spreadsheets1303Not 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%36.7%Claude Opus 4.8
Tax Agent Bench (Vals AI)30.0%7.8%Claude Opus 4.8
Legal Research Bench (Vals AI)43.8%9.1%Claude Opus 4.8
Excel Modeling Benchmark (Vals AI)69.4%55.1%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%90.6%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 index90
Reasoning benchmarks for Claude Opus 4.8 and MiMo-V2.5
BenchmarkClaude Opus 4.8MiMo-V2.5Leader
GPQA Diamond92.4%81.6%Claude Opus 4.8
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%80.0%Claude Opus 4.8
GPQA Diamond (Artificial Analysis run)92.0%84.9%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%27.2%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 prompts14821450Claude Opus 4.8
LMArena Text: expert15031459Claude Opus 4.8
LMArena Text: hard prompts in English14871461Claude Opus 4.8
LMArena Vision: diagrams13151269Claude Opus 4.8
LMArena Vision: homework13371262Claude Opus 4.8
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 MiMo-V2.5
BenchmarkClaude Opus 4.8MiMo-V2.5Leader
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%16.0%Claude Opus 4.8
LMArena Text: math14861436Claude Opus 4.8
LMArena Text: mathematical work14971451Claude 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 index100
Knowledge benchmarks for Claude Opus 4.8 and MiMo-V2.5
BenchmarkClaude Opus 4.8MiMo-V2.5Leader
MMLU Pro89.6%82.9%Claude Opus 4.8
LegalBench (Vals AI)83.6%78.9%Claude Opus 4.8
CorpFin (Vals AI)66.7%59.9%Claude Opus 4.8
TaxEval (Vals AI)75.6%71.8%Claude Opus 4.8
MortgageTax (Vals AI)69.9%59.3%Claude Opus 4.8
MedCode (Vals AI)53.2%31.9%Claude Opus 4.8
SimpleQA Verified53.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: science14771440Claude Opus 4.8
LMArena Text: medicine and healthcare14641432Claude Opus 4.8
LMArena Text: legal and government14771425Claude Opus 4.8
LMArena Text: business and finance14581432Claude Opus 4.8
FACTS Benchmark Suite53.5%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index43
Web design benchmarks for Claude Opus 4.8 and MiMo-V2.5
BenchmarkClaude Opus 4.8MiMo-V2.5Leader
Design Arena: websites12581265MiMo-V2.5
Design Arena: UI components12551255Tie
Design Arena: game dev12641249Claude Opus 4.8
Design Arena: data viz12401250MiMo-V2.5
Design Arena: 3D12221215Claude Opus 4.8
Design Arena: all code categories12551260MiMo-V2.5
Design Arena: SVG11951179Claude Opus 4.8
Design Arena: ASCII art12771140Claude Opus 4.8
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index271
General benchmarks for Claude Opus 4.8 and MiMo-V2.5
BenchmarkClaude Opus 4.8MiMo-V2.5Leader
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%43.3%Claude Opus 4.8
MedScribe (Vals AI)85.8%72.2%Claude Opus 4.8
Vals Multimodal Index70.9%52.8%Claude Opus 4.8
IFBench62.2%67.1%MiMo-V2.5
Long context reasoning (AA-LCR)77.7%73.0%Claude Opus 4.8
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
LMArena Text14611428Claude Opus 4.8
LMArena Text: instruction following14761435Claude Opus 4.8
LMArena Text: creative writing14541393Claude Opus 4.8
LMArena Vision12941247Claude Opus 4.8
LMArena Text: English14681447Claude Opus 4.8
LMArena Text: non-English14501405Claude Opus 4.8
LMArena Text: Chinese15061469Claude Opus 4.8
LMArena Text: German14721421Claude Opus 4.8
LMArena Text: Japanese14421306Claude Opus 4.8
LMArena Text: Korean14311361Claude Opus 4.8
LMArena Text: French14811448Claude Opus 4.8
LMArena Text: Spanish14651414Claude Opus 4.8
LMArena Text: Russian14741396Claude Opus 4.8
LMArena Text: Polish14591413Claude Opus 4.8
LMArena Text: multi-turn14761445Claude Opus 4.8
LMArena Text: longer queries14831445Claude Opus 4.8
LMArena Text: writing and language14611409Claude Opus 4.8
LMArena Text: entertainment and media14401399Claude Opus 4.8
LMArena Vision: English12931259Claude Opus 4.8
LMArena Vision: Chinese13461326Claude Opus 4.8
LMArena Vision: reading text13031256Claude Opus 4.8
LMArena Vision: humor12821226Claude Opus 4.8
LMArena Vision: recognizing thingsNot measured1189Only MiMo-V2.5 measured
LMArena Vision: creative writing13011230Claude Opus 4.8
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 MiMo-V2.5
BenchmarkClaude Opus 4.8MiMo-V2.5Leader
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$0.0003Fits in one request

MiMo-V2.5 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
MiMo-V2.5$0.0094Fits in one request

MiMo-V2.5 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits in one request
MiMo-V2.5$0.037Fits in one request

MiMo-V2.5 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
SpecificationAnthropic Claude Opus 4.8Xiaomi MiMo-V2.5
MakerAnthropicXiaomi
WeightsNo public weights listedOpen weights
ReleasedMay 27, 2026April 22, 2026
Context window1M1.05M
Input $/Mtok$5.00$0.168
Output $/Mtok$25.00$0.336
Coding index65.050.0
Independent measurements behind it63
Cost per solved task$2.17$0.01
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 50.0 for MiMo-V2.5. Pick MiMo-V2.5 for output tokens 74.4x cheaper ($0.336 vs $25.00 per million) and a lower cost per solved task ($0.01 against $2.17).

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

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Per solved SWE-bench Verified task, Claude Opus 4.8 costs $2.17 and MiMo-V2.5 $0.01.

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

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

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

78 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 MiMo-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/claude-opus-4-8-vs-xiaomi-mimo-v2-5" title="Claude Opus 4.8 vs MiMo-V2.5, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-opus-4-8-vs-xiaomi-mimo-v2-5">LLMBenchmark.ai, Claude Opus 4.8 vs MiMo-V2.5</a></p>