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Claude Sonnet 5.5 vs MiMo-V2.6-Flash

Updated October 21, 2026. 62 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Sonnet 5.5 Replace MiMo-V2.6-Flash
Claude Sonnet 5.5Anthropic
Coding
88.9
Overall
56.0
Output $/M
$10.00
58
MiMo-V2.6-FlashXiaomi
Coding
61.9
Overall
37.9
Output $/M
$0.28
4
vs boards won of 62 shared

Decision reading

Pick Claude Sonnet 5.5 for coding: it scores 88.9 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash.

Pick MiMo-V2.6-Flash when output tokens cost 35.7x less, or when the context window is larger, 1.05M against 1M tokens.

Model AClaude Sonnet 5.5Anthropic88.9/1002 independent benchmarksNo cost per solved taskModel BMiMo-V2.6-FlashXiaomi61.9/1001 independent benchmarkNo cost per solved task
Shared results
62
Claude Sonnet 5.5 only
33
MiMo-V2.6-Flash only
4
Like-for-like categories
7 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 Sonnet 5.5 88.9 from 2 benchmarks, MiMo-V2.6-Flash 61.9 from 1 benchmark.
Widest category
Intelligence, 18.1 points apart on average over 1 shared benchmark.
Widest single gap
Terminal-Bench-Science (Vals AI): Claude Sonnet 5.5 47.1% against MiMo-V2.6-Flash 4.3%, 42.9 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5.5 $10.00 against MiMo-V2.6-Flash $0.28 per million output tokens, 35.7x apart.
Context window
Claude Sonnet 5.5 takes 1M tokens, MiMo-V2.6-Flash 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 Sonnet 5.5BarsMiMo-V2.6-FlashTies
Coding141
Intelligence10
Agentic work81
Reasoning70
Math30
Knowledge50
General202
All shared boards584
CodingLike-for-likeFour of these boards feed the Vibe Coding Index141
Coding benchmarks for Claude Sonnet 5.5 and MiMo-V2.6-Flash
BenchmarkClaude Sonnet 5.5MiMo-V2.6-FlashLeader
LiveBench coding94.7%Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev17681634Claude Sonnet 5.5
Terminal-Bench 4 (Vals AI)64.1%24.2%Claude Sonnet 5.5
Vibe Code Bench (Vals AI)92.4%79.0%Claude Sonnet 5.5
Code migration (Vals AI)69.8%40.9%Claude Sonnet 5.5
ProgramBench (Vals AI)6.5%0.5%Claude Sonnet 5.5
IOI (Vals AI)83.1%47.7%Claude Sonnet 5.5
Terminal-Bench 2.1 (Vals AI)83.2%76.4%Claude Sonnet 5.5
SWE-bench Multimodal (Vals AI)58.3%Not measuredOnly Claude Sonnet 5.5 measured
CyberBench (Vals AI)59.6%75.4%MiMo-V2.6-Flash
SciCode61.0%51.3%Claude Sonnet 5.5
FrontierCode52.1%Not measuredOnly Claude Sonnet 5.5 measured
FrontierSWE61.9%Not measuredOnly Claude Sonnet 5.5 measured
ALE-Bench1819.11244.2Claude Sonnet 5.5
LMArena Text: coding15131499Claude Sonnet 5.5
LMArena Text: software and IT15041497Claude Sonnet 5.5
LMArena WebDev: React18171648Claude Sonnet 5.5
LMArena WebDev: HTML17411641Claude Sonnet 5.5
LMArena WebDev: from an image17371596Claude Sonnet 5.5
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 5.5 and MiMo-V2.6-Flash
BenchmarkClaude Sonnet 5.5MiMo-V2.6-FlashLeader
AA Intelligence Index56.037.9Claude Sonnet 5.5
Epoch Capabilities Index166.2Not measuredOnly Claude Sonnet 5.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index81
Agentic work benchmarks for Claude Sonnet 5.5 and MiMo-V2.6-Flash
BenchmarkClaude Sonnet 5.5MiMo-V2.6-FlashLeader
Design Arena: agents building web apps1303Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: agents building mobile apps1265Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: spreadsheets1245Not measuredOnly Claude Sonnet 5.5 measured
LiveBench research83.6%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench browser84.0%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench long agentic78.8%Not measuredOnly Claude Sonnet 5.5 measured
SREBench (Vals AI)30.1%4.2%Claude Sonnet 5.5
Finance Agent (Vals AI)58.1%56.3%Claude Sonnet 5.5
Tax Agent Bench (Vals AI)42.0%28.5%Claude Sonnet 5.5
Legal Research Bench (Vals AI)48.1%38.0%Claude Sonnet 5.5
Harvey's Legal Agent Benchmark (Vals AI)10.4%13.3%MiMo-V2.6-Flash
Excel Modeling Benchmark (Vals AI)75.7%65.5%Claude Sonnet 5.5
BioMysteryBench (Vals AI)81.1%69.3%Claude Sonnet 5.5
Terminal-Bench-Science (Vals AI)47.1%4.3%Claude Sonnet 5.5
Vals Science Index59.1%31.7%Claude Sonnet 5.5
APEX-Agents75.5%Not measuredOnly Claude Sonnet 5.5 measured
SpireClimb1.3%Not measuredOnly Claude Sonnet 5.5 measured
Vending-Bench 2$11,165Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Claude Sonnet 5.5 and MiMo-V2.6-Flash
BenchmarkClaude Sonnet 5.5MiMo-V2.6-FlashLeader
LiveBench reasoning91.6%Not measuredOnly Claude Sonnet 5.5 measured
MysteryMechanism (Vals AI)49.1%21.6%Claude Sonnet 5.5
Humanity's Last Exam (Artificial Analysis run)55.0%35.1%Claude Sonnet 5.5
GPQA Diamond (Epoch AI run)95.6%Not measuredOnly Claude Sonnet 5.5 measured
Chess puzzles59.0%Not measuredOnly Claude Sonnet 5.5 measured
Mystery game puzzles65.0%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: hard prompts14941475Claude Sonnet 5.5
LMArena Text: expert15311496Claude Sonnet 5.5
LMArena Text: hard prompts in English15021493Claude Sonnet 5.5
LMArena Vision: diagrams13291276Claude Sonnet 5.5
LMArena Vision: homework13311283Claude Sonnet 5.5
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 5.5 and MiMo-V2.6-Flash
BenchmarkClaude Sonnet 5.5MiMo-V2.6-FlashLeader
OTIS Mock AIME100.0%Not measuredOnly Claude Sonnet 5.5 measured
FrontierMath, tiers 1 to 388.8%Not measuredOnly Claude Sonnet 5.5 measured
FrontierMath, tier 480.5%Not measuredOnly Claude Sonnet 5.5 measured
ProofBench100.0%63.0%Claude Sonnet 5.5
LMArena Text: math14971476Claude Sonnet 5.5
LMArena Text: mathematical work15101478Claude Sonnet 5.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Claude Sonnet 5.5 and MiMo-V2.6-Flash
BenchmarkClaude Sonnet 5.5MiMo-V2.6-FlashLeader
MedCode (Vals AI)52.9%41.1%Claude Sonnet 5.5
SimpleQA Verified46.5%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: science14831462Claude Sonnet 5.5
LMArena Text: medicine and healthcare14641439Claude Sonnet 5.5
LMArena Text: legal and government14831441Claude Sonnet 5.5
LMArena Text: business and finance14681454Claude Sonnet 5.5
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Claude Sonnet 5.5 and MiMo-V2.6-Flash
BenchmarkClaude Sonnet 5.5MiMo-V2.6-FlashLeader
Design Arena: websites1326Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: UI components1367Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: game dev1469Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: data viz1389Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: 3D1458Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: all code categories1364Not measuredOnly Claude Sonnet 5.5 measured
LiveBench design85.0%Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index202
General benchmarks for Claude Sonnet 5.5 and MiMo-V2.6-Flash
BenchmarkClaude Sonnet 5.5MiMo-V2.6-FlashLeader
Vals Index70.8%54.8%Claude Sonnet 5.5
LiveBench data analysis59.5%Not measuredOnly Claude Sonnet 5.5 measured
Public Benefits Bench (Vals AI)67.2%67.6%MiMo-V2.6-Flash
SAGE (Vals AI)51.8%43.5%Claude Sonnet 5.5
MedScribe (Vals AI)91.1%85.3%Claude Sonnet 5.5
Long context reasoning (AA-LCR)82.7%74.3%Claude Sonnet 5.5
DTBench97.3%Not measuredOnly Claude Sonnet 5.5 measured
LMCA68.3%Not measuredOnly Claude Sonnet 5.5 measured
Furniture assembly75.0%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text14731453Claude Sonnet 5.5
LMArena Text: instruction following14921452Claude Sonnet 5.5
LMArena Text: creative writing14671403Claude Sonnet 5.5
LMArena Vision12871256Claude Sonnet 5.5
LMArena Text: English14841476Claude Sonnet 5.5
LMArena Text: non-English14561431Claude Sonnet 5.5
LMArena Text: Chinese15351509Claude Sonnet 5.5
LMArena Text: GermanNot measured1458Only MiMo-V2.6-Flash measured
LMArena Text: JapaneseNot measured1359Only MiMo-V2.6-Flash measured
LMArena Text: KoreanNot measured1425Only MiMo-V2.6-Flash measured
LMArena Text: French14991480Claude Sonnet 5.5
LMArena Text: Spanish14511453MiMo-V2.6-Flash
LMArena Text: Russian14541409Claude Sonnet 5.5
LMArena Text: PolishNot measured1455Only MiMo-V2.6-Flash measured
LMArena Text: multi-turn14651447Claude Sonnet 5.5
LMArena Text: longer queries14951459Claude Sonnet 5.5
LMArena Text: writing and language14741424Claude Sonnet 5.5
LMArena Text: entertainment and media14611415Claude Sonnet 5.5
LMArena Vision: English12891269Claude Sonnet 5.5
LMArena Vision: reading text12971270Claude Sonnet 5.5
LMArena Vision: creative writing12421231Claude Sonnet 5.5
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 5.5 and MiMo-V2.6-Flash
BenchmarkClaude Sonnet 5.5MiMo-V2.6-FlashLeader
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 5.5$0.0070Fits in one request
MiMo-V2.6-Flash$0.0003Fits in one request

MiMo-V2.6-Flash costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 5.5$0.130Fits in one request
MiMo-V2.6-Flash$0.0078Fits in one request

MiMo-V2.6-Flash costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 5.5$0.500Fits in one request
MiMo-V2.6-Flash$0.031Fits in one request

MiMo-V2.6-Flash 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 5.5 and MiMo-V2.6-Flash
SpecificationAnthropic Claude Sonnet 5.5Xiaomi MiMo-V2.6-Flash
MakerAnthropicXiaomi
WeightsNo public weights listedOpen weights
ReleasedSeptember 28, 2026September 21, 2026
Context window1M1.05M
Input $/Mtok$2.00$0.14
Output $/Mtok$10.00$0.28
Coding index88.961.9
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 5.5 better than MiMo-V2.6-Flash for coding?

Pick Claude Sonnet 5.5 for coding: it scores 88.9 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash. Pick MiMo-V2.6-Flash when output tokens cost 35.7x less, or when the context window is larger, 1.05M against 1M tokens.

Which is cheaper, Claude Sonnet 5.5 or MiMo-V2.6-Flash?

Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Sonnet 5.5 or MiMo-V2.6-Flash?

MiMo-V2.6-Flash, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 5.5 vs MiMo-V2.6-Flash comparison based on?

62 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 5.5's coding index rests on 2 independent benchmarks and MiMo-V2.6-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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