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DeepSeek V4 Pro 0423 vs MiMo-V2.5

MiMo-V2.5 leads DeepSeek V4 Pro 0423 on coding, 50.0 to 38.7 on the Vibe Coding Index, and MiMo-V2.5 costs 8.9x less per output token ($0.336 vs $2.976 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0423 Replace MiMo-V2.5
DeepSeek V4 Pro 0423DeepSeek
Coding
38.7
Overall
50.0
Output $/M
$2.976
51
MiMo-V2.5Xiaomi
Coding
50.0
Overall
50.7
Output $/M
$0.336
8
vs boards won of 60 shared, 1 tied

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

Pick MiMo-V2.5 for coding: it scores 50.0 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423, though on 3 benchmarks against 5.

Pick DeepSeek V4 Pro 0423 for work measured by LMArena WebDev or AA Coding Index, where it leads.

Model ADeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved taskModel BMiMo-V2.5Xiaomi50.0/1003 independent benchmarks$0.01 per solved task
Shared results
60
DeepSeek V4 Pro 0423 only
24
MiMo-V2.5 only
20
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 Pro 0423 38.7 from 5 benchmarks, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category
Agentic work, 10.5 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: Japanese: DeepSeek V4 Pro 0423 1446 against MiMo-V2.5 1306, 23.4 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0423 $2.976 against MiMo-V2.5 $0.336 per million output tokens, 8.9x apart.
Context window
DeepSeek V4 Pro 0423 takes 1.05M tokens, MiMo-V2.5 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 Pro 0423BarsMiMo-V2.5Ties
Coding111
Intelligence10
Agentic work41
Reasoning40
Math201 tie
Knowledge90
Web design26
General180
All shared boards5181 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index111
Coding benchmarks for DeepSeek V4 Pro 0423 and MiMo-V2.5
BenchmarkDeepSeek V4 Pro 0423MiMo-V2.5Leader
LMArena WebDev14471438DeepSeek V4 Pro 0423
AA Coding Index59.456.8DeepSeek V4 Pro 0423
LiveCodeBench (Vals AI)87.5%81.5%DeepSeek V4 Pro 0423
SWE-bench Verified (Vals AI)77.4%71.0%DeepSeek V4 Pro 0423
Terminal-Bench 4 (Vals AI)11.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Vibe Code Bench (Vals AI)49.9%42.2%DeepSeek V4 Pro 0423
Code migration (Vals AI)26.2%14.2%DeepSeek V4 Pro 0423
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
Terminal-Bench 2.1 (Vals AI)50.2%60.7%MiMo-V2.5
SkillsBench (Vals AI)51.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
SciCodeNot measured43.9%Only MiMo-V2.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured41.7%Only MiMo-V2.5 measured
FrontierCode17.6%Not measuredOnly DeepSeek V4 Pro 0423 measured
WeirdML48.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
ALE-Bench1006.1514.0DeepSeek V4 Pro 0423
LMArena Text: coding14701469DeepSeek V4 Pro 0423
LMArena Text: software and IT14691463DeepSeek V4 Pro 0423
LMArena WebDev: React14411425DeepSeek V4 Pro 0423
LMArena WebDev: HTML14351429DeepSeek V4 Pro 0423
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Pro 0423 and MiMo-V2.5
BenchmarkDeepSeek V4 Pro 0423MiMo-V2.5Leader
AA Intelligence Index30.421.8DeepSeek V4 Pro 0423
Epoch Capabilities Index149.1Not measuredOnly DeepSeek V4 Pro 0423 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
Agentic work benchmarks for DeepSeek V4 Pro 0423 and MiMo-V2.5
BenchmarkDeepSeek V4 Pro 0423MiMo-V2.5Leader
AA Agentic Index26.315.8DeepSeek V4 Pro 0423
Design Arena: agents building web apps1000Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building full-stack apps948Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building Godot games1059Not measuredOnly DeepSeek V4 Pro 0423 measured
Finance Agent (Vals AI)44.1%36.7%DeepSeek V4 Pro 0423
Tax Agent Bench (Vals AI)25.2%7.8%DeepSeek V4 Pro 0423
Legal Research Bench (Vals AI)23.1%9.1%DeepSeek V4 Pro 0423
Excel Modeling Benchmark (Vals AI)51.6%55.1%MiMo-V2.5
τ²-Bench TelecomNot measured90.6%Only MiMo-V2.5 measured
Vending-Bench 2$3,285Not measuredOnly DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V4 Pro 0423 and MiMo-V2.5
BenchmarkDeepSeek V4 Pro 0423MiMo-V2.5Leader
GPQA Diamond89.4%81.6%DeepSeek V4 Pro 0423
MMMU Pro (Vals AI)Not measured80.0%Only MiMo-V2.5 measured
GPQA Diamond (Artificial Analysis run)Not measured84.9%Only MiMo-V2.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured27.2%Only MiMo-V2.5 measured
GPQA Diamond (Epoch AI run)90.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
Chess puzzles19.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
Mystery game puzzles17.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: hard prompts14611450DeepSeek V4 Pro 0423
LMArena Text: expert14631459DeepSeek V4 Pro 0423
LMArena Text: hard prompts in English14661461DeepSeek V4 Pro 0423
LMArena Vision: diagramsNot measured1269Only MiMo-V2.5 measured
LMArena Vision: homeworkNot measured1262Only MiMo-V2.5 measured
Kagi LLM Benchmark53.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Pro 0423 and MiMo-V2.5
BenchmarkDeepSeek V4 Pro 0423MiMo-V2.5Leader
OTIS Mock AIME96.7%Not measuredOnly DeepSeek V4 Pro 0423 measured
FrontierMath, tiers 1 to 345.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
FrontierMath, tier 42.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
ProofBench16.0%16.0%Tie
LMArena Text: math14431436DeepSeek V4 Pro 0423
LMArena Text: mathematical work14551451DeepSeek V4 Pro 0423
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for DeepSeek V4 Pro 0423 and MiMo-V2.5
BenchmarkDeepSeek V4 Pro 0423MiMo-V2.5Leader
MMLU Pro87.3%82.9%DeepSeek V4 Pro 0423
LegalBench (Vals AI)80.3%78.9%DeepSeek V4 Pro 0423
CaseLaw (Vals AI)59.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
CorpFin (Vals AI)61.4%59.9%DeepSeek V4 Pro 0423
TaxEval (Vals AI)72.1%71.8%DeepSeek V4 Pro 0423
MortgageTax (Vals AI)Not measured59.3%Only MiMo-V2.5 measured
MedCode (Vals AI)40.5%31.9%DeepSeek V4 Pro 0423
SimpleQA Verified47.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: science14701440DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare14661432DeepSeek V4 Pro 0423
LMArena Text: legal and government14641425DeepSeek V4 Pro 0423
LMArena Text: business and finance14431432DeepSeek V4 Pro 0423
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index26
Web design benchmarks for DeepSeek V4 Pro 0423 and MiMo-V2.5
BenchmarkDeepSeek V4 Pro 0423MiMo-V2.5Leader
Design Arena: websites12341265MiMo-V2.5
Design Arena: UI components12191255MiMo-V2.5
Design Arena: game dev12281249MiMo-V2.5
Design Arena: data viz12031250MiMo-V2.5
Design Arena: 3D12531215DeepSeek V4 Pro 0423
Design Arena: all code categories12401260MiMo-V2.5
Design Arena: SVG11391179MiMo-V2.5
Design Arena: ASCII art11491140DeepSeek V4 Pro 0423
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for DeepSeek V4 Pro 0423 and MiMo-V2.5
BenchmarkDeepSeek V4 Pro 0423MiMo-V2.5Leader
Public Benefits Bench (Vals AI)62.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
SAGE (Vals AI)Not measured43.3%Only MiMo-V2.5 measured
MedScribe (Vals AI)75.1%72.2%DeepSeek V4 Pro 0423
Vals Multimodal IndexNot measured52.8%Only MiMo-V2.5 measured
IFBenchNot measured67.1%Only MiMo-V2.5 measured
Long context reasoning (AA-LCR)Not measured73.0%Only MiMo-V2.5 measured
DTBench90.7%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMCA41.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
Surface Evolver Bench40.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
CL-bench Life13.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text14511428DeepSeek V4 Pro 0423
LMArena Text: instruction following14451435DeepSeek V4 Pro 0423
LMArena Text: creative writing14461393DeepSeek V4 Pro 0423
LMArena VisionNot measured1247Only MiMo-V2.5 measured
LMArena Text: English14591447DeepSeek V4 Pro 0423
LMArena Text: non-English14391405DeepSeek V4 Pro 0423
LMArena Text: Chinese14811469DeepSeek V4 Pro 0423
LMArena Text: German14581421DeepSeek V4 Pro 0423
LMArena Text: Japanese14461306DeepSeek V4 Pro 0423
LMArena Text: Korean14091361DeepSeek V4 Pro 0423
LMArena Text: French14731448DeepSeek V4 Pro 0423
LMArena Text: Spanish14571414DeepSeek V4 Pro 0423
LMArena Text: Russian14531396DeepSeek V4 Pro 0423
LMArena Text: Polish14611413DeepSeek V4 Pro 0423
LMArena Text: multi-turn14681445DeepSeek V4 Pro 0423
LMArena Text: longer queries14581445DeepSeek V4 Pro 0423
LMArena Text: writing and language14471409DeepSeek V4 Pro 0423
LMArena Text: entertainment and media14311399DeepSeek V4 Pro 0423
LMArena Vision: EnglishNot measured1259Only MiMo-V2.5 measured
LMArena Vision: ChineseNot measured1326Only MiMo-V2.5 measured
LMArena Vision: reading textNot measured1256Only MiMo-V2.5 measured
LMArena Vision: humorNot measured1226Only MiMo-V2.5 measured
LMArena Vision: recognizing thingsNot measured1189Only MiMo-V2.5 measured
LMArena Vision: creative writingNot measured1230Only MiMo-V2.5 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0423 and MiMo-V2.5
BenchmarkDeepSeek V4 Pro 0423MiMo-V2.5Leader
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 Pro 0423$0.0028Fits in one request
MiMo-V2.5$0.0003Fits in one request

MiMo-V2.5 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0423$0.077Fits in one request
MiMo-V2.5$0.0094Fits in one request

MiMo-V2.5 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0423$0.301Fits in one request
MiMo-V2.5$0.037Fits in one request

MiMo-V2.5 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 Pro 0423 and MiMo-V2.5
SpecificationDeepSeek V4 Pro 0423Xiaomi MiMo-V2.5
MakerDeepSeekXiaomi
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026April 22, 2026
Context window1.05M1.05M
Input $/Mtok$1.358$0.168
Output $/Mtok$2.976$0.336
Coding index38.750.0
Independent measurements behind it53
Cost per solved task$0.57$0.01
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick MiMo-V2.5 for coding: it scores 50.0 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423, though on 3 benchmarks against 5. Pick DeepSeek V4 Pro 0423 for work measured by LMArena WebDev or AA Coding Index, where it leads.

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

DeepSeek V4 Pro 0423 costs $1.358 per million input tokens and $2.976 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0423 costs $0.57 and MiMo-V2.5 $0.01.

Which has the bigger context window, DeepSeek V4 Pro 0423 or MiMo-V2.5?

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

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

60 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks and MiMo-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v4-pro-vs-xiaomi-mimo-v2-5">LLMBenchmark.ai, DeepSeek V4 Pro 0423 vs MiMo-V2.5</a></p>