Enter opens the highlighted result. Esc closes.

Qwen3.5-Flash vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads Qwen3.5-Flash on coding, 54.7 to 41.1 on the Vibe Coding Index, at about the same output price ($0.28 vs $0.26 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
1
MiMo-V2.6-FlashXiaomi
Coding
54.7
Overall
60.8
Output $/M
$0.28
34
vs boards won of 35 shared

Qwen3.5-Flash or MiMo-V2.6-Flash: which to pick

Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash.

Pick Qwen3.5-Flash for output tokens 1.1x cheaper ($0.26 vs $0.28 per million) and work measured by LMArena Text: Japanese, where it leads.

Shared results
35
Qwen3.5-Flash only
20
MiMo-V2.6-Flash only
31
Like-for-like categories
5 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
Qwen3.5-Flash 41.1 from 2 benchmarks, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
Widest category
Coding, 38.3 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: Qwen3.5-Flash 1229 against MiMo-V2.6-Flash 1648, 61.8 points apart on a 0 to 100 scale.
Output price
Qwen3.5-Flash $0.26 against MiMo-V2.6-Flash $0.28 per million output tokens, 1.1x apart.
Context window
Qwen3.5-Flash 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
CategoryQwen3.5-FlashBarsMiMo-V2.6-FlashTies
Coding06
Reasoning03
Math02
Knowledge05
General118
All shared boards134
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for Qwen3.5-Flash and MiMo-V2.6-Flash
BenchmarkQwen3.5-FlashMiMo-V2.6-FlashLeader
LMArena WebDev12441634MiMo-V2.6-Flash
LiveCodeBench (Vals AI)83.3%Not measuredOnly Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)64.4%Not measuredOnly Qwen3.5-Flash measured
Terminal-Bench 4 (Vals AI)Not measured24.2%Only MiMo-V2.6-Flash measured
Vibe Code Bench (Vals AI)Not measured79.0%Only MiMo-V2.6-Flash measured
Code migration (Vals AI)Not measured40.9%Only MiMo-V2.6-Flash measured
ProgramBench (Vals AI)Not measured0.5%Only MiMo-V2.6-Flash measured
IOI (Vals AI)Not measured47.7%Only MiMo-V2.6-Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured76.4%Only MiMo-V2.6-Flash measured
CyberBench (Vals AI)Not measured75.4%Only MiMo-V2.6-Flash measured
SciCodeNot measured51.3%Only MiMo-V2.6-Flash measured
ALE-Bench265.91244.2MiMo-V2.6-Flash
LMArena Text: coding14121499MiMo-V2.6-Flash
LMArena Text: software and IT14161497MiMo-V2.6-Flash
LMArena WebDev: React12291648MiMo-V2.6-Flash
LMArena WebDev: HTML12911641MiMo-V2.6-Flash
LMArena WebDev: from an imageNot measured1596Only MiMo-V2.6-Flash measured
Neither model has a result on the other 26 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Qwen3.5-Flash and MiMo-V2.6-Flash
BenchmarkQwen3.5-FlashMiMo-V2.6-FlashLeader
AA Intelligence IndexNot measured37.9Only MiMo-V2.6-Flash measured
Epoch Capabilities Index143.5Not measuredOnly Qwen3.5-Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for Qwen3.5-Flash and MiMo-V2.6-Flash
BenchmarkQwen3.5-FlashMiMo-V2.6-FlashLeader
SREBench (Vals AI)Not measured4.2%Only MiMo-V2.6-Flash measured
Finance Agent (Vals AI)Not measured56.3%Only MiMo-V2.6-Flash measured
Tax Agent Bench (Vals AI)Not measured28.5%Only MiMo-V2.6-Flash measured
Legal Research Bench (Vals AI)Not measured38.0%Only MiMo-V2.6-Flash measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured13.3%Only MiMo-V2.6-Flash measured
Excel Modeling Benchmark (Vals AI)Not measured65.5%Only MiMo-V2.6-Flash measured
BioMysteryBench (Vals AI)Not measured69.3%Only MiMo-V2.6-Flash measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only MiMo-V2.6-Flash measured
Vals Science IndexNot measured31.7%Only MiMo-V2.6-Flash measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Qwen3.5-Flash and MiMo-V2.6-Flash
BenchmarkQwen3.5-FlashMiMo-V2.6-FlashLeader
GPQA Diamond82.8%Not measuredOnly Qwen3.5-Flash measured
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash measured
MMMU Pro (Vals AI)81.9%Not measuredOnly Qwen3.5-Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured35.1%Only MiMo-V2.6-Flash measured
GPQA Diamond (Epoch AI run)82.3%Not measuredOnly Qwen3.5-Flash measured
Chess puzzles14.0%Not measuredOnly Qwen3.5-Flash measured
Mystery game puzzles20.0%Not measuredOnly Qwen3.5-Flash measured
LMArena Text: hard prompts14031475MiMo-V2.6-Flash
LMArena Text: expert14071496MiMo-V2.6-Flash
LMArena Text: hard prompts in English14091493MiMo-V2.6-Flash
LMArena Vision: diagramsNot measured1276Only MiMo-V2.6-Flash measured
LMArena Vision: homeworkNot measured1283Only MiMo-V2.6-Flash measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen3.5-Flash and MiMo-V2.6-Flash
BenchmarkQwen3.5-FlashMiMo-V2.6-FlashLeader
AIME92.5%Not measuredOnly Qwen3.5-Flash measured
OTIS Mock AIME84.4%Not measuredOnly Qwen3.5-Flash measured
FrontierMath, tiers 1 to 318.2%Not measuredOnly Qwen3.5-Flash measured
ProofBenchNot measured63.0%Only MiMo-V2.6-Flash measured
LMArena Text: math14071476MiMo-V2.6-Flash
LMArena Text: mathematical work14131478MiMo-V2.6-Flash
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Qwen3.5-Flash and MiMo-V2.6-Flash
BenchmarkQwen3.5-FlashMiMo-V2.6-FlashLeader
MMLU Pro84.1%Not measuredOnly Qwen3.5-Flash measured
LegalBench (Vals AI)84.3%Not measuredOnly Qwen3.5-Flash measured
CaseLaw (Vals AI)56.0%Not measuredOnly Qwen3.5-Flash measured
CorpFin (Vals AI)63.6%Not measuredOnly Qwen3.5-Flash measured
TaxEval (Vals AI)72.2%Not measuredOnly Qwen3.5-Flash measured
MortgageTax (Vals AI)67.4%Not measuredOnly Qwen3.5-Flash measured
MedCode (Vals AI)33.0%41.1%MiMo-V2.6-Flash
SimpleQA Verified20.3%Not measuredOnly Qwen3.5-Flash measured
LMArena Text: science14151462MiMo-V2.6-Flash
LMArena Text: medicine and healthcare14071439MiMo-V2.6-Flash
LMArena Text: legal and government13981441MiMo-V2.6-Flash
LMArena Text: business and finance13941454MiMo-V2.6-Flash
Neither model has a result on the other 8 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3.5-Flash and MiMo-V2.6-Flash
BenchmarkQwen3.5-FlashMiMo-V2.6-FlashLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index118
General benchmarks for Qwen3.5-Flash and MiMo-V2.6-Flash
BenchmarkQwen3.5-FlashMiMo-V2.6-FlashLeader
Vals IndexNot measured54.8%Only MiMo-V2.6-Flash measured
Public Benefits Bench (Vals AI)Not measured67.6%Only MiMo-V2.6-Flash measured
SAGE (Vals AI)42.5%43.5%MiMo-V2.6-Flash
MedScribe (Vals AI)70.6%85.3%MiMo-V2.6-Flash
Long context reasoning (AA-LCR)Not measured74.3%Only MiMo-V2.6-Flash measured
DTBench82.9%Not measuredOnly Qwen3.5-Flash measured
LMCA29.1%Not measuredOnly Qwen3.5-Flash measured
LMArena Text13971453MiMo-V2.6-Flash
LMArena Text: instruction following13741452MiMo-V2.6-Flash
LMArena Text: creative writing13431403MiMo-V2.6-Flash
LMArena VisionNot measured1256Only MiMo-V2.6-Flash measured
LMArena Text: English14041476MiMo-V2.6-Flash
LMArena Text: non-English13851431MiMo-V2.6-Flash
LMArena Text: Chinese14451509MiMo-V2.6-Flash
LMArena Text: German13901458MiMo-V2.6-Flash
LMArena Text: Japanese13691359Qwen3.5-Flash
LMArena Text: Korean13441425MiMo-V2.6-Flash
LMArena Text: French14131480MiMo-V2.6-Flash
LMArena Text: Spanish14001453MiMo-V2.6-Flash
LMArena Text: Russian13801409MiMo-V2.6-Flash
LMArena Text: Polish13761455MiMo-V2.6-Flash
LMArena Text: multi-turn13931447MiMo-V2.6-Flash
LMArena Text: longer queries13921459MiMo-V2.6-Flash
LMArena Text: writing and language13691424MiMo-V2.6-Flash
LMArena Text: entertainment and media13471415MiMo-V2.6-Flash
LMArena Vision: EnglishNot measured1269Only MiMo-V2.6-Flash measured
LMArena Vision: reading textNot measured1270Only MiMo-V2.6-Flash measured
LMArena Vision: creative writingNot measured1231Only MiMo-V2.6-Flash measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.5-Flash and MiMo-V2.6-Flash
BenchmarkQwen3.5-FlashMiMo-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

Qwen3.5-Flash$0.0002Fits in one request
MiMo-V2.6-Flash$0.0003Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

Qwen3.5-Flash$0.0040Fits in one request
MiMo-V2.6-Flash$0.0078Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-Flash$0.016Fits in one request
MiMo-V2.6-Flash$0.031Fits in one request

Qwen3.5-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 Qwen3.5-Flash and MiMo-V2.6-Flash
SpecificationQwen3.5-FlashXiaomi MiMo-V2.6-Flash
MakerQwenXiaomi
WeightsNo public weights listedOpen weights
ReleasedFebruary 25, 2026September 21, 2026
Context window1M1.05M
Input $/Mtok$0.065$0.14
Output $/Mtok$0.26$0.28
Coding index41.154.7
Independent measurements behind it23
Cost per solved task$0.40Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-Flash better than MiMo-V2.6-Flash for coding?

Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash. Pick Qwen3.5-Flash for output tokens 1.1x cheaper ($0.26 vs $0.28 per million) and work measured by LMArena Text: Japanese, where it leads.

Which is cheaper, Qwen3.5-Flash or MiMo-V2.6-Flash?

Qwen3.5-Flash costs $0.065 per million input tokens and $0.26 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for Qwen3.5-Flash only.

Which has the bigger context window, Qwen3.5-Flash or MiMo-V2.6-Flash?

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

How many benchmarks is the Qwen3.5-Flash vs MiMo-V2.6-Flash comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. Qwen3.5-Flash's coding index rests on 2 independent benchmarks and MiMo-V2.6-Flash'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/qwen3-5-flash-02-23-vs-xiaomi-mimo-v2-6-flash" title="Qwen3.5-Flash vs MiMo-V2.6-Flash, 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/qwen3-5-flash-02-23-vs-xiaomi-mimo-v2-6-flash">LLMBenchmark.ai, Qwen3.5-Flash vs MiMo-V2.6-Flash</a></p>