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Qwen3 30B A3B Instruct 2507 vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 37.9 to 7.5, at about the same output price ($0.28 vs $0.30 per million). Updated October 22, 2026; 32 benchmarks have a result for both.

Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
0
MiMo-V2.6-FlashXiaomi
Coding
54.7
Overall
60.8
Output $/M
$0.28
32
vs boards won of 32 shared

Qwen3 30B A3B Instruct 2507 or MiMo-V2.6-Flash: which to pick

Only MiMo-V2.6-Flash has a coding score, 54.7 on the Vibe Coding Index; Qwen3 30B A3B Instruct 2507 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
32
Qwen3 30B A3B Instruct 2507 only
13
MiMo-V2.6-Flash only
34
Like-for-like categories
6 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 30B A3B Instruct 2507 not benchmarked, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
Widest category
Intelligence, 30.4 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: Qwen3 30B A3B Instruct 2507 7.5 against MiMo-V2.6-Flash 37.9, 30.4 points apart on a 0 to 100 scale.
Output price
Qwen3 30B A3B Instruct 2507 $0.30 against MiMo-V2.6-Flash $0.28 per million output tokens, 1.1x apart.
Context window
Qwen3 30B A3B Instruct 2507 takes 262K 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 30B A3B Instruct 2507BarsMiMo-V2.6-FlashTies
Coding03
Intelligence01
Reasoning04
Math02
Knowledge04
General018
All shared boards032
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Qwen3 30B A3B Instruct 2507 and MiMo-V2.6-Flash
BenchmarkQwen3 30B A3B Instruct 2507MiMo-V2.6-FlashLeader
LMArena WebDevNot measured1634Only MiMo-V2.6-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
LiveCodeBench (Artificial Analysis run)70.7%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
SciCode33.0%51.3%MiMo-V2.6-Flash
Terminal-Bench Hard (Artificial Analysis run)6.1%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
ALE-BenchNot measured1244.2Only MiMo-V2.6-Flash measured
LMArena Text: coding14161499MiMo-V2.6-Flash
LMArena Text: software and IT14171497MiMo-V2.6-Flash
LMArena WebDev: ReactNot measured1648Only MiMo-V2.6-Flash measured
LMArena WebDev: HTMLNot measured1641Only MiMo-V2.6-Flash measured
LMArena WebDev: from an imageNot measured1596Only MiMo-V2.6-Flash measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3 30B A3B Instruct 2507 and MiMo-V2.6-Flash
BenchmarkQwen3 30B A3B Instruct 2507MiMo-V2.6-FlashLeader
AA Intelligence Index7.537.9MiMo-V2.6-Flash
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Qwen3 30B A3B Instruct 2507 and MiMo-V2.6-Flash
BenchmarkQwen3 30B A3B Instruct 2507MiMo-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
τ²-Bench Telecom28.1%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Berkeley Function Calling Leaderboard (BFCL)41.4%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for Qwen3 30B A3B Instruct 2507 and MiMo-V2.6-Flash
BenchmarkQwen3 30B A3B Instruct 2507MiMo-V2.6-FlashLeader
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash measured
GPQA Diamond (Artificial Analysis run)70.7%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Humanity's Last Exam (Artificial Analysis run)10.3%35.1%MiMo-V2.6-Flash
GPQA Diamond (Epoch AI run)55.6%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: hard prompts13981475MiMo-V2.6-Flash
LMArena Text: expert13971496MiMo-V2.6-Flash
LMArena Text: hard prompts in English14061493MiMo-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 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen3 30B A3B Instruct 2507 and MiMo-V2.6-Flash
BenchmarkQwen3 30B A3B Instruct 2507MiMo-V2.6-FlashLeader
AA Math Index66.3Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
AIME 2025 (Artificial Analysis run)66.3%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
OTIS Mock AIME62.2%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
ProofBenchNot measured63.0%Only MiMo-V2.6-Flash measured
LMArena Text: math13941476MiMo-V2.6-Flash
LMArena Text: mathematical work14111478MiMo-V2.6-Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Qwen3 30B A3B Instruct 2507 and MiMo-V2.6-Flash
BenchmarkQwen3 30B A3B Instruct 2507MiMo-V2.6-FlashLeader
MedCode (Vals AI)Not measured41.1%Only MiMo-V2.6-Flash measured
MMLU Pro (Artificial Analysis run)80.5%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: science13931462MiMo-V2.6-Flash
LMArena Text: medicine and healthcare13921439MiMo-V2.6-Flash
LMArena Text: legal and government13871441MiMo-V2.6-Flash
LMArena Text: business and finance13891454MiMo-V2.6-Flash
Neither model has a result on the other 12 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3 30B A3B Instruct 2507 and MiMo-V2.6-Flash
BenchmarkQwen3 30B A3B Instruct 2507MiMo-V2.6-FlashLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Qwen3 30B A3B Instruct 2507 and MiMo-V2.6-Flash
BenchmarkQwen3 30B A3B Instruct 2507MiMo-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)Not measured43.5%Only MiMo-V2.6-Flash measured
MedScribe (Vals AI)Not measured85.3%Only MiMo-V2.6-Flash measured
IFBench50.7%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Long context reasoning (AA-LCR)61.3%74.3%MiMo-V2.6-Flash
DTBench67.2%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMCA22.4%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text13841453MiMo-V2.6-Flash
LMArena Text: instruction following13631452MiMo-V2.6-Flash
LMArena Text: creative writing13171403MiMo-V2.6-Flash
LMArena VisionNot measured1256Only MiMo-V2.6-Flash measured
LMArena Text: English13911476MiMo-V2.6-Flash
LMArena Text: non-English13721431MiMo-V2.6-Flash
LMArena Text: Chinese14321509MiMo-V2.6-Flash
LMArena Text: German13791458MiMo-V2.6-Flash
LMArena Text: Japanese13371359MiMo-V2.6-Flash
LMArena Text: Korean13301425MiMo-V2.6-Flash
LMArena Text: French14191480MiMo-V2.6-Flash
LMArena Text: Spanish14041453MiMo-V2.6-Flash
LMArena Text: Russian13691409MiMo-V2.6-Flash
LMArena Text: Polish13531455MiMo-V2.6-Flash
LMArena Text: multi-turn13781447MiMo-V2.6-Flash
LMArena Text: longer queries13781459MiMo-V2.6-Flash
LMArena Text: writing and language13361424MiMo-V2.6-Flash
LMArena Text: entertainment and media13341415MiMo-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 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3 30B A3B Instruct 2507 and MiMo-V2.6-Flash
BenchmarkQwen3 30B A3B Instruct 2507MiMo-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 30B A3B Instruct 2507$0.0002Fits in one request
MiMo-V2.6-Flash$0.0003Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

Qwen3 30B A3B Instruct 2507$0.0054Fits in one request
MiMo-V2.6-Flash$0.0078Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

Qwen3 30B A3B Instruct 2507$0.021Fits in one request
MiMo-V2.6-Flash$0.031Fits in one request

Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507 and MiMo-V2.6-Flash
SpecificationQwen3 30B A3B Instruct 2507Xiaomi MiMo-V2.6-Flash
MakerQwenXiaomi
WeightsOpen weightsOpen weights
ReleasedJuly 29, 2025September 21, 2026
Context window262K1.05M
Input $/Mtok$0.09$0.14
Output $/Mtok$0.30$0.28
Coding indexNot benchmarked54.7
Independent measurements behind it03
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3 30B A3B Instruct 2507 better than MiMo-V2.6-Flash for coding?

Only MiMo-V2.6-Flash has a coding score, 54.7 on the Vibe Coding Index; Qwen3 30B A3B Instruct 2507 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Qwen3 30B A3B Instruct 2507 or MiMo-V2.6-Flash?

Qwen3 30B A3B Instruct 2507 costs $0.09 per million input tokens and $0.30 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, Qwen3 30B A3B Instruct 2507 or MiMo-V2.6-Flash?

MiMo-V2.6-Flash, with 1.05M tokens against 262K.

How many benchmarks is the Qwen3 30B A3B Instruct 2507 vs MiMo-V2.6-Flash comparison based on?

32 benchmarks have a result for both models as of October 22, 2026. Qwen3 30B A3B Instruct 2507's coding index rests on 0 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.

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