Enter opens the highlighted result. Esc closes.

Phi 4 vs MiMo-V2.5

MiMo-V2.5 leads Phi 4 on the Artificial Analysis Intelligence Index, 21.8 to 5.9, and Phi 4 costs 2.4x less per output token ($0.14 vs $0.336 per million). Updated October 21, 2026; 34 benchmarks have a result for both.

Phi 4Microsoft
Coding
No data
Overall
24.7
Output $/M
$0.14
0
MiMo-V2.5Xiaomi
Coding
50.0
Overall
50.7
Output $/M
$0.336
34
vs boards won of 34 shared

Phi 4 or MiMo-V2.5: which to pick

Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; Phi 4 has none, so the two cannot be ranked on coding.

Pick Phi 4 for output tokens 2.4x cheaper ($0.14 vs $0.336 per million).

Shared results
34
Phi 4 only
12
MiMo-V2.5 only
46
Like-for-like categories
7 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
Phi 4 not benchmarked, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category
Agentic work, 90.6 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Phi 4 0.0% against MiMo-V2.5 90.6%, 90.6 points apart on a 0 to 100 scale.
Output price
Phi 4 $0.14 against MiMo-V2.5 $0.336 per million output tokens, 2.4x apart.
Context window
Phi 4 takes 16K 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
CategoryPhi 4BarsMiMo-V2.5Ties
Coding03
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General018
All shared boards034
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Phi 4 and MiMo-V2.5
BenchmarkPhi 4MiMo-V2.5Leader
LMArena WebDevNot measured1438Only MiMo-V2.5 measured
AA Coding IndexNot measured56.8Only MiMo-V2.5 measured
LiveCodeBench (Vals AI)Not measured81.5%Only MiMo-V2.5 measured
SWE-bench Verified (Vals AI)Not measured71.0%Only MiMo-V2.5 measured
Vibe Code Bench (Vals AI)Not measured42.2%Only MiMo-V2.5 measured
Code migration (Vals AI)Not measured14.2%Only MiMo-V2.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured60.7%Only MiMo-V2.5 measured
LiveCodeBench (Artificial Analysis run)23.1%Not measuredOnly Phi 4 measured
SciCodeNot measured43.9%Only MiMo-V2.5 measured
Terminal-Bench Hard (Artificial Analysis run)3.8%41.7%MiMo-V2.5
ALE-BenchNot measured514.0Only MiMo-V2.5 measured
LMArena Text: coding12311469MiMo-V2.5
LMArena Text: software and IT12281463MiMo-V2.5
LMArena WebDev: ReactNot measured1425Only MiMo-V2.5 measured
LMArena WebDev: HTMLNot measured1429Only MiMo-V2.5 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Phi 4 and MiMo-V2.5
BenchmarkPhi 4MiMo-V2.5Leader
AA Intelligence Index5.921.8MiMo-V2.5
Epoch Capabilities Index130.5Not measuredOnly Phi 4 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Phi 4 and MiMo-V2.5
BenchmarkPhi 4MiMo-V2.5Leader
AA Agentic IndexNot measured15.8Only MiMo-V2.5 measured
Finance Agent (Vals AI)Not measured36.7%Only MiMo-V2.5 measured
Tax Agent Bench (Vals AI)Not measured7.8%Only MiMo-V2.5 measured
Legal Research Bench (Vals AI)Not measured9.1%Only MiMo-V2.5 measured
Excel Modeling Benchmark (Vals AI)Not measured55.1%Only MiMo-V2.5 measured
τ²-Bench Telecom0.0%90.6%MiMo-V2.5
BALROG11.6%Not measuredOnly Phi 4 measured
Berkeley Function Calling Leaderboard (BFCL)28.8%Not measuredOnly Phi 4 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Phi 4 and MiMo-V2.5
BenchmarkPhi 4MiMo-V2.5Leader
GPQA DiamondNot measured81.6%Only MiMo-V2.5 measured
MMMU Pro (Vals AI)Not measured80.0%Only MiMo-V2.5 measured
GPQA Diamond (Artificial Analysis run)57.5%84.9%MiMo-V2.5
Humanity's Last Exam (Artificial Analysis run)3.8%27.2%MiMo-V2.5
GPQA Diamond (Epoch AI run)56.1%Not measuredOnly Phi 4 measured
LMArena Text: hard prompts12201450MiMo-V2.5
LMArena Text: expert12031459MiMo-V2.5
LMArena Text: hard prompts in English12301461MiMo-V2.5
LMArena Vision: diagramsNot measured1269Only MiMo-V2.5 measured
LMArena Vision: homeworkNot measured1262Only MiMo-V2.5 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Phi 4 and MiMo-V2.5
BenchmarkPhi 4MiMo-V2.5Leader
AA Math Index18.0Not measuredOnly Phi 4 measured
AIME 2025 (Artificial Analysis run)18.0%Not measuredOnly Phi 4 measured
OTIS Mock AIME13.8%Not measuredOnly Phi 4 measured
ProofBenchNot measured16.0%Only MiMo-V2.5 measured
MATH level 564.9%Not measuredOnly Phi 4 measured
LMArena Text: math12461436MiMo-V2.5
LMArena Text: mathematical work12541451MiMo-V2.5
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Phi 4 and MiMo-V2.5
BenchmarkPhi 4MiMo-V2.5Leader
MMLU ProNot measured82.9%Only MiMo-V2.5 measured
LegalBench (Vals AI)Not measured78.9%Only MiMo-V2.5 measured
CorpFin (Vals AI)Not measured59.9%Only MiMo-V2.5 measured
TaxEval (Vals AI)Not measured71.8%Only MiMo-V2.5 measured
MortgageTax (Vals AI)Not measured59.3%Only MiMo-V2.5 measured
MedCode (Vals AI)Not measured31.9%Only MiMo-V2.5 measured
MMLU Pro (Artificial Analysis run)71.4%Not measuredOnly Phi 4 measured
MMLU84.8%Not measuredOnly Phi 4 measured
LMArena Text: science12061440MiMo-V2.5
LMArena Text: medicine and healthcare12021432MiMo-V2.5
LMArena Text: legal and government12411425MiMo-V2.5
LMArena Text: business and finance11991432MiMo-V2.5
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Phi 4 and MiMo-V2.5
BenchmarkPhi 4MiMo-V2.5Leader
Design Arena: websitesNot measured1266Only MiMo-V2.5 measured
Design Arena: UI componentsNot measured1258Only MiMo-V2.5 measured
Design Arena: game devNot measured1249Only MiMo-V2.5 measured
Design Arena: data vizNot measured1249Only MiMo-V2.5 measured
Design Arena: 3DNot measured1216Only MiMo-V2.5 measured
Design Arena: all code categoriesNot measured1260Only MiMo-V2.5 measured
Design Arena: SVGNot measured1178Only MiMo-V2.5 measured
Design Arena: ASCII artNot measured1140Only MiMo-V2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Phi 4 and MiMo-V2.5
BenchmarkPhi 4MiMo-V2.5Leader
SAGE (Vals AI)Not measured43.3%Only MiMo-V2.5 measured
MedScribe (Vals AI)Not measured72.2%Only MiMo-V2.5 measured
Vals Multimodal IndexNot measured52.8%Only MiMo-V2.5 measured
IFBench23.5%67.1%MiMo-V2.5
Long context reasoning (AA-LCR)0.0%73.0%MiMo-V2.5
Creative writing (Lech Mazur)62.6%Not measuredOnly Phi 4 measured
LMArena Text12171428MiMo-V2.5
LMArena Text: instruction following12011435MiMo-V2.5
LMArena Text: creative writing11811393MiMo-V2.5
LMArena VisionNot measured1247Only MiMo-V2.5 measured
LMArena Text: English12311447MiMo-V2.5
LMArena Text: non-English11971405MiMo-V2.5
LMArena Text: Chinese12121469MiMo-V2.5
LMArena Text: German12221421MiMo-V2.5
LMArena Text: Japanese11581306MiMo-V2.5
LMArena Text: Korean11511361MiMo-V2.5
LMArena Text: French12241448MiMo-V2.5
LMArena Text: Spanish12341414MiMo-V2.5
LMArena Text: Russian12091396MiMo-V2.5
LMArena Text: PolishNot measured1413Only MiMo-V2.5 measured
LMArena Text: multi-turn12061445MiMo-V2.5
LMArena Text: longer queries12171445MiMo-V2.5
LMArena Text: writing and language11981409MiMo-V2.5
LMArena Text: entertainment and media11621399MiMo-V2.5
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 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Phi 4 and MiMo-V2.5
BenchmarkPhi 4MiMo-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

Phi 4$0.0001Fits in one request
MiMo-V2.5$0.0003Fits in one request

Phi 4 costs less

Repository review

50K input + 3K output tokens

Phi 4$0.0039Exceeds the context window
MiMo-V2.5$0.0094Fits in one request

Phi 4 costs less

Agent loop

200K input + 10K output tokens

Phi 4$0.015Exceeds the context window
MiMo-V2.5$0.037Fits in one request

Phi 4 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 Phi 4 and MiMo-V2.5
SpecificationMicrosoft Phi 4Xiaomi MiMo-V2.5
MakerMicrosoftXiaomi
WeightsOpen weightsOpen weights
ReleasedJanuary 10, 2025April 22, 2026
Context window16K1.05M
Input $/Mtok$0.07$0.168
Output $/Mtok$0.14$0.336
Coding indexNot benchmarked50.0
Independent measurements behind it03
Cost per solved taskNot computable$0.01
SourceOpenRouter listingOpenRouter listing

Questions

Is Phi 4 better than MiMo-V2.5 for coding?

Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; Phi 4 has none, so the two cannot be ranked on coding. Pick Phi 4 for output tokens 2.4x cheaper ($0.14 vs $0.336 per million).

Which is cheaper, Phi 4 or MiMo-V2.5?

Phi 4 costs $0.07 per million input tokens and $0.14 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Cost per solved task is known for MiMo-V2.5 only.

Which has the bigger context window, Phi 4 or MiMo-V2.5?

MiMo-V2.5, with 1.05M tokens against 16K.

How many benchmarks is the Phi 4 vs MiMo-V2.5 comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. Phi 4's coding index rests on 0 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.

Compare next