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Qwen3.5 397B A17B vs MiMo-V2.5-Pro

MiMo-V2.5-Pro leads Qwen3.5 397B A17B on the Artificial Analysis Intelligence Index, 26.0 to 21.4, and MiMo-V2.5-Pro costs 2.6x less per output token ($0.9152 vs $2.34 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Replace Qwen3.5 397B A17B Replace MiMo-V2.5-Pro
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
5
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
44
vs boards won of 49 shared

Qwen3.5 397B A17B or MiMo-V2.5-Pro: which to pick

Only MiMo-V2.5-Pro has a coding score, 31.6 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding.

Pick Qwen3.5 397B A17B for work measured by τ²-Bench Telecom or GPQA Diamond (Artificial Analysis run), where it leads.

Model AQwen3.5 397B A17BQwenNot benchmarked1 independent benchmarkNo cost per solved taskModel BMiMo-V2.5-ProXiaomi31.6/1004 independent benchmarks$0.03 per solved task
Shared results
49
Qwen3.5 397B A17B only
17
MiMo-V2.5-Pro only
22
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
Qwen3.5 397B A17B not benchmarked, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Web design, 10.3 points apart on average over 7 shared benchmarks.
Widest single gap
Design Arena: game dev: Qwen3.5 397B A17B 1140 against MiMo-V2.5-Pro 1261, 15.1 points apart on a 0 to 100 scale.
Output price
Qwen3.5 397B A17B $2.34 against MiMo-V2.5-Pro $0.9152 per million output tokens, 2.6x apart.
Context window
Qwen3.5 397B A17B takes 262K 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
CategoryQwen3.5 397B A17BBarsMiMo-V2.5-ProTies
Coding08
Intelligence01
Agentic work10
Reasoning14
Math02
Knowledge04
Web design07
General318
All shared boards544
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for Qwen3.5 397B A17B and MiMo-V2.5-Pro
BenchmarkQwen3.5 397B A17BMiMo-V2.5-ProLeader
LMArena WebDev14001480MiMo-V2.5-Pro
AA Coding IndexNot measured60.2Only MiMo-V2.5-Pro measured
LiveCodeBench (Vals AI)Not measured81.3%Only MiMo-V2.5-Pro measured
SWE-bench Verified (Vals AI)Not measured74.0%Only MiMo-V2.5-Pro measured
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)Not measured34.1%Only MiMo-V2.5-Pro measured
Code migration (Vals AI)Not measured21.6%Only MiMo-V2.5-Pro measured
Terminal-Bench 2.1 (Vals AI)Not measured57.3%Only MiMo-V2.5-Pro measured
SciCode44.8%50.6%MiMo-V2.5-Pro
Terminal-Bench Hard (Artificial Analysis run)40.9%43.2%MiMo-V2.5-Pro
ALE-Bench621.9899.8MiMo-V2.5-Pro
LMArena Text: coding14641501MiMo-V2.5-Pro
LMArena Text: software and IT14631495MiMo-V2.5-Pro
LMArena WebDev: React13881469MiMo-V2.5-Pro
LMArena WebDev: HTML14101473MiMo-V2.5-Pro
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3.5 397B A17B and MiMo-V2.5-Pro
BenchmarkQwen3.5 397B A17BMiMo-V2.5-ProLeader
AA Intelligence Index21.426.0MiMo-V2.5-Pro
Epoch Capabilities Index146.8Not measuredOnly Qwen3.5 397B A17B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Qwen3.5 397B A17B and MiMo-V2.5-Pro
BenchmarkQwen3.5 397B A17BMiMo-V2.5-ProLeader
AA Agentic IndexNot measured21.3Only MiMo-V2.5-Pro measured
Finance Agent (Vals AI)Not measured41.5%Only MiMo-V2.5-Pro measured
Tax Agent Bench (Vals AI)Not measured11.5%Only MiMo-V2.5-Pro measured
Legal Research Bench (Vals AI)Not measured15.9%Only MiMo-V2.5-Pro measured
Excel Modeling Benchmark (Vals AI)Not measured55.2%Only MiMo-V2.5-Pro measured
τ²-Bench Telecom95.6%94.2%Qwen3.5 397B A17B
APEX-Agents24.9%Not measuredOnly Qwen3.5 397B A17B measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
Reasoning benchmarks for Qwen3.5 397B A17B and MiMo-V2.5-Pro
BenchmarkQwen3.5 397B A17BMiMo-V2.5-ProLeader
GPQA DiamondNot measured82.6%Only MiMo-V2.5-Pro measured
GPQA Diamond (Artificial Analysis run)89.3%86.6%Qwen3.5 397B A17B
Humanity's Last Exam (Artificial Analysis run)29.0%35.7%MiMo-V2.5-Pro
GPQA Diamond (Epoch AI run)86.4%Not measuredOnly Qwen3.5 397B A17B measured
Mystery game puzzles18.0%Not measuredOnly Qwen3.5 397B A17B measured
LMArena Text: hard prompts14481486MiMo-V2.5-Pro
LMArena Text: expert14621501MiMo-V2.5-Pro
LMArena Text: hard prompts in English14501494MiMo-V2.5-Pro
LMArena Vision: diagrams1277Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: homework1292Not measuredOnly Qwen3.5 397B A17B 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 Qwen3.5 397B A17B and MiMo-V2.5-Pro
BenchmarkQwen3.5 397B A17BMiMo-V2.5-ProLeader
OTIS Mock AIME88.9%Not measuredOnly Qwen3.5 397B A17B measured
FrontierMath, tiers 1 to 331.2%Not measuredOnly Qwen3.5 397B A17B measured
ProofBenchNot measured22.0%Only MiMo-V2.5-Pro measured
LMArena Text: math14531481MiMo-V2.5-Pro
LMArena Text: mathematical work14541491MiMo-V2.5-Pro
MathArena19.2%Not measuredOnly Qwen3.5 397B A17B measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Qwen3.5 397B A17B and MiMo-V2.5-Pro
BenchmarkQwen3.5 397B A17BMiMo-V2.5-ProLeader
MMLU ProNot measured84.6%Only MiMo-V2.5-Pro measured
LegalBench (Vals AI)Not measured77.1%Only MiMo-V2.5-Pro measured
CorpFin (Vals AI)Not measured61.4%Only MiMo-V2.5-Pro measured
TaxEval (Vals AI)Not measured73.8%Only MiMo-V2.5-Pro measured
MedCode (Vals AI)Not measured32.5%Only MiMo-V2.5-Pro measured
LMArena Text: science14571482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14551473MiMo-V2.5-Pro
LMArena Text: legal and government14411474MiMo-V2.5-Pro
LMArena Text: business and finance14351466MiMo-V2.5-Pro
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Qwen3.5 397B A17B and MiMo-V2.5-Pro
BenchmarkQwen3.5 397B A17BMiMo-V2.5-ProLeader
Design Arena: websites11901266MiMo-V2.5-Pro
Design Arena: UI components11611246MiMo-V2.5-Pro
Design Arena: game dev11401261MiMo-V2.5-Pro
Design Arena: data viz11751257MiMo-V2.5-Pro
Design Arena: 3D11601243MiMo-V2.5-Pro
Design Arena: all code categories11791265MiMo-V2.5-Pro
Design Arena: SVG11391182MiMo-V2.5-Pro
Design Arena: ASCII artNot measured1156Only MiMo-V2.5-Pro measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index318
General benchmarks for Qwen3.5 397B A17B and MiMo-V2.5-Pro
BenchmarkQwen3.5 397B A17BMiMo-V2.5-ProLeader
MedScribe (Vals AI)Not measured83.7%Only MiMo-V2.5-Pro measured
IFBench78.8%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)77.3%79.7%MiMo-V2.5-Pro
DTBench87.5%84.5%Qwen3.5 397B A17B
LMCA37.9%29.5%Qwen3.5 397B A17B
LMArena Text14371464MiMo-V2.5-Pro
LMArena Text: instruction following14241475MiMo-V2.5-Pro
LMArena Text: creative writing14021438MiMo-V2.5-Pro
LMArena Vision1262Not measuredOnly Qwen3.5 397B A17B measured
LMArena Text: English14431477MiMo-V2.5-Pro
LMArena Text: non-English14301448MiMo-V2.5-Pro
LMArena Text: Chinese14981507MiMo-V2.5-Pro
LMArena Text: German14451459MiMo-V2.5-Pro
LMArena Text: Japanese14291410Qwen3.5 397B A17B
LMArena Text: Korean13841435MiMo-V2.5-Pro
LMArena Text: French14621487MiMo-V2.5-Pro
LMArena Text: Spanish14411469MiMo-V2.5-Pro
LMArena Text: Russian14301449MiMo-V2.5-Pro
LMArena Text: Polish14471464MiMo-V2.5-Pro
LMArena Text: multi-turn14461476MiMo-V2.5-Pro
LMArena Text: longer queries14411481MiMo-V2.5-Pro
LMArena Text: writing and language14151451MiMo-V2.5-Pro
LMArena Text: entertainment and media13991438MiMo-V2.5-Pro
LMArena Vision: English1268Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: Chinese1314Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: reading text1271Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: humor1262Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: captioning1230Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: recognizing things1265Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: creative writing1260Not measuredOnly Qwen3.5 397B A17B measured
EQ-Bench 4Not measured1208Only MiMo-V2.5-Pro 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 Qwen3.5 397B A17B and MiMo-V2.5-Pro
BenchmarkQwen3.5 397B A17BMiMo-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

Qwen3.5 397B A17B$0.0016Fits in one request
MiMo-V2.5-Pro$0.0009Fits in one request

MiMo-V2.5-Pro costs less

Repository review

50K input + 3K output tokens

Qwen3.5 397B A17B$0.027Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

MiMo-V2.5-Pro costs less

Agent loop

200K input + 10K output tokens

Qwen3.5 397B A17B$0.101Fits in one request
MiMo-V2.5-Pro$0.101Fits 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 Qwen3.5 397B A17B and MiMo-V2.5-Pro
SpecificationQwen3.5 397B A17BXiaomi MiMo-V2.5-Pro
MakerQwenXiaomi
WeightsOpen weightsOpen weights
ReleasedFebruary 16, 2026April 22, 2026
Context window262K1.05M
Input $/Mtok$0.39$0.4575
Output $/Mtok$2.34$0.9152
Coding indexNot benchmarked31.6
Independent measurements behind it14
Cost per solved taskNot computable$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5 397B A17B better than MiMo-V2.5-Pro for coding?

Only MiMo-V2.5-Pro has a coding score, 31.6 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for work measured by τ²-Bench Telecom or GPQA Diamond (Artificial Analysis run), where it leads.

Which is cheaper, Qwen3.5 397B A17B or MiMo-V2.5-Pro?

Qwen3.5 397B A17B costs $0.39 per million input tokens and $2.34 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Cost per solved task is known for MiMo-V2.5-Pro only.

Which has the bigger context window, Qwen3.5 397B A17B or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 262K.

How many benchmarks is the Qwen3.5 397B A17B vs MiMo-V2.5-Pro comparison based on?

49 benchmarks have a result for both models as of October 22, 2026. Qwen3.5 397B A17B's coding index rests on 1 independent benchmark and MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.

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