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DeepSeek V4 Flash 0423 vs MiMo-V2.5-Pro

MiMo-V2.5-Pro leads DeepSeek V4 Flash 0423 on the Artificial Analysis Intelligence Index, 26.0 to 24.4, and DeepSeek V4 Flash 0423 costs 3.3x less per output token ($0.28 vs $0.9152 per million). Updated October 22, 2026; 45 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace MiMo-V2.5-Pro
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
6
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
39
vs boards won of 45 shared

DeepSeek V4 Flash 0423 or MiMo-V2.5-Pro: which to pick

Only MiMo-V2.5-Pro has a coding score, 31.6 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding.

Pick DeepSeek V4 Flash 0423 for output tokens 3.3x cheaper ($0.28 vs $0.9152 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BMiMo-V2.5-ProXiaomi31.6/1004 independent benchmarks$0.03 per solved task
Shared results
45
DeepSeek V4 Flash 0423 only
4
MiMo-V2.5-Pro only
25
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
DeepSeek V4 Flash 0423 not benchmarked, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Coding, 11.1 points apart on average over 7 shared benchmarks.
Widest single gap
LMArena WebDev: React: DeepSeek V4 Flash 0423 1585 against MiMo-V2.5-Pro 1469, 19.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against MiMo-V2.5-Pro $0.9152 per million output tokens, 3.3x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M 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
CategoryDeepSeek V4 Flash 0423BarsMiMo-V2.5-ProTies
Coding34
Intelligence01
Agentic work10
Reasoning03
Math02
Knowledge04
Web design08
General217
All shared boards639
CodingLike-for-likeSix of these boards feed the Vibe Coding Index34
Coding benchmarks for DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro
BenchmarkDeepSeek V4 Flash 0423MiMo-V2.5-ProLeader
LMArena WebDev15821480DeepSeek V4 Flash 0423
AA Coding Index52.060.2MiMo-V2.5-Pro
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
SciCodeNot measured50.6%Only MiMo-V2.5-Pro measured
Terminal-Bench Hard (Artificial Analysis run)Not measured43.2%Only MiMo-V2.5-Pro measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2899.8MiMo-V2.5-Pro
LMArena Text: coding14571501MiMo-V2.5-Pro
LMArena Text: software and IT14531495MiMo-V2.5-Pro
LMArena WebDev: React15851469DeepSeek V4 Flash 0423
LMArena WebDev: HTML15581473DeepSeek V4 Flash 0423
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro
BenchmarkDeepSeek V4 Flash 0423MiMo-V2.5-ProLeader
AA Intelligence Index24.426.0MiMo-V2.5-Pro
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V4 Flash 0423 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro
BenchmarkDeepSeek V4 Flash 0423MiMo-V2.5-ProLeader
AA Agentic Index26.321.3DeepSeek V4 Flash 0423
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 TelecomNot measured94.2%Only MiMo-V2.5-Pro measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro
BenchmarkDeepSeek V4 Flash 0423MiMo-V2.5-ProLeader
GPQA DiamondNot measured82.6%Only MiMo-V2.5-Pro measured
GPQA Diamond (Artificial Analysis run)Not measured86.6%Only MiMo-V2.5-Pro measured
Humanity's Last Exam (Artificial Analysis run)Not measured35.7%Only MiMo-V2.5-Pro measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441486MiMo-V2.5-Pro
LMArena Text: expert14411501MiMo-V2.5-Pro
LMArena Text: hard prompts in English14491494MiMo-V2.5-Pro
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro
BenchmarkDeepSeek V4 Flash 0423MiMo-V2.5-ProLeader
ProofBenchNot measured22.0%Only MiMo-V2.5-Pro measured
LMArena Text: math14261481MiMo-V2.5-Pro
LMArena Text: mathematical work14321491MiMo-V2.5-Pro
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro
BenchmarkDeepSeek V4 Flash 0423MiMo-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: science14461482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14481473MiMo-V2.5-Pro
LMArena Text: legal and government14391474MiMo-V2.5-Pro
LMArena Text: business and finance14251466MiMo-V2.5-Pro
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro
BenchmarkDeepSeek V4 Flash 0423MiMo-V2.5-ProLeader
Design Arena: websites12071266MiMo-V2.5-Pro
Design Arena: UI components11621246MiMo-V2.5-Pro
Design Arena: game dev11961261MiMo-V2.5-Pro
Design Arena: data viz11271257MiMo-V2.5-Pro
Design Arena: 3D11881243MiMo-V2.5-Pro
Design Arena: all code categories12051265MiMo-V2.5-Pro
Design Arena: SVG11551181MiMo-V2.5-Pro
Design Arena: ASCII art11091156MiMo-V2.5-Pro
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index217
General benchmarks for DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro
BenchmarkDeepSeek V4 Flash 0423MiMo-V2.5-ProLeader
MedScribe (Vals AI)Not measured83.7%Only MiMo-V2.5-Pro measured
IFBenchNot measured79.9%Only MiMo-V2.5-Pro measured
Long context reasoning (AA-LCR)Not measured79.7%Only MiMo-V2.5-Pro measured
DTBench86.4%84.5%DeepSeek V4 Flash 0423
LMCA35.9%29.5%DeepSeek V4 Flash 0423
LMArena Text14321464MiMo-V2.5-Pro
LMArena Text: instruction following14211475MiMo-V2.5-Pro
LMArena Text: creative writing14031438MiMo-V2.5-Pro
LMArena Text: English14411477MiMo-V2.5-Pro
LMArena Text: non-English14191448MiMo-V2.5-Pro
LMArena Text: Chinese14631507MiMo-V2.5-Pro
LMArena Text: German14191459MiMo-V2.5-Pro
LMArena Text: Japanese13891410MiMo-V2.5-Pro
LMArena Text: Korean13831435MiMo-V2.5-Pro
LMArena Text: French14391487MiMo-V2.5-Pro
LMArena Text: Spanish14361469MiMo-V2.5-Pro
LMArena Text: Russian14271449MiMo-V2.5-Pro
LMArena Text: Polish14361464MiMo-V2.5-Pro
LMArena Text: multi-turn14491476MiMo-V2.5-Pro
LMArena Text: longer queries14341481MiMo-V2.5-Pro
LMArena Text: writing and language14101451MiMo-V2.5-Pro
LMArena Text: entertainment and media14001438MiMo-V2.5-Pro
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro
BenchmarkDeepSeek V4 Flash 0423MiMo-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

DeepSeek V4 Flash 0423$0.0003Fits in one request
MiMo-V2.5-Pro$0.0009Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.031Fits in one request
MiMo-V2.5-Pro$0.101Fits in one request

DeepSeek V4 Flash 0423 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 DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro
SpecificationDeepSeek V4 Flash 0423Xiaomi MiMo-V2.5-Pro
MakerDeepSeekXiaomi
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026April 22, 2026
Context window1.05M1.05M
Input $/Mtok$0.14$0.4575
Output $/Mtok$0.28$0.9152
Coding indexNot benchmarked31.6
Independent measurements behind it14
Cost per solved taskNot computable$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than MiMo-V2.5-Pro for coding?

Only MiMo-V2.5-Pro has a coding score, 31.6 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 3.3x cheaper ($0.28 vs $0.9152 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.

Which is cheaper, DeepSeek V4 Flash 0423 or MiMo-V2.5-Pro?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 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, DeepSeek V4 Flash 0423 or MiMo-V2.5-Pro?

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

How many benchmarks is the DeepSeek V4 Flash 0423 vs MiMo-V2.5-Pro comparison based on?

45 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash 0423'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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