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o3 vs MiMo-V2.5

MiMo-V2.5 leads o3 on the Artificial Analysis Intelligence Index, 21.8 to 20.2, and MiMo-V2.5 costs 23.8x less per output token ($0.336 vs $8.00 per million). Updated October 21, 2026; 61 benchmarks have a result for both.

Replace o3 Replace MiMo-V2.5
o3OpenAI
Coding
No data
Overall
51.1
Output $/M
$8.00
19
MiMo-V2.5Xiaomi
Coding
50.0
Overall
50.7
Output $/M
$0.336
42
vs boards won of 61 shared

o3 or MiMo-V2.5: which to pick

Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding.

Pick o3 for work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads.

Model Ao3OpenAINot benchmarkedNo coding benchmark$0.571 per solved taskModel BMiMo-V2.5Xiaomi50.0/1003 independent benchmarks$0.01 per solved task
Shared results
61
o3 only
41
MiMo-V2.5 only
19
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
o3 not benchmarked, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category
Web design, 24.4 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: UI components: o3 1017 against MiMo-V2.5 1258, 30.1 points apart on a 0 to 100 scale.
Output price
o3 $8.00 against MiMo-V2.5 $0.336 per million output tokens, 23.8x apart.
Context window
o3 takes 200K 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
Categoryo3BarsMiMo-V2.5Ties
Coding23
Intelligence01
Agentic work01
Reasoning27
Math02
Knowledge73
Web design05
General820
All shared boards1942
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
Coding benchmarks for o3 and MiMo-V2.5
Benchmarko3MiMo-V2.5Leader
Aider polyglot81.3%Not measuredOnly o3 measured
SWE-bench Verified58.4%Not measuredOnly o3 measured
SWE-bench Multimodal36.0%Not measuredOnly o3 measured
LMArena WebDevNot measured1438Only MiMo-V2.5 measured
AA Coding IndexNot measured56.8Only MiMo-V2.5 measured
LiveCodeBench (Vals AI)83.9%81.5%o3
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)80.8%Not measuredOnly o3 measured
SciCodeNot measured43.9%Only MiMo-V2.5 measured
Terminal-Bench Hard (Artificial Analysis run)37.1%41.7%MiMo-V2.5
GSO-Bench8.8%Not measuredOnly o3 measured
WeirdML52.4%Not measuredOnly o3 measured
ALE-Bench933.5514.0o3
LMArena Text: coding14071469MiMo-V2.5
LMArena Text: software and IT14151463MiMo-V2.5
LMArena WebDev: ReactNot measured1425Only MiMo-V2.5 measured
LMArena WebDev: HTMLNot measured1429Only MiMo-V2.5 measured
SciCode9.2%Not measuredOnly o3 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for o3 and MiMo-V2.5
Benchmarko3MiMo-V2.5Leader
AA Intelligence Index20.221.8MiMo-V2.5
Epoch Capabilities Index146.7Not measuredOnly o3 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for o3 and MiMo-V2.5
Benchmarko3MiMo-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 Telecom80.7%90.6%MiMo-V2.5
METR time horizons65.4%Not measuredOnly o3 measured
GDPval30.8%Not measuredOnly o3 measured
DeepResearch Bench45.2%Not measuredOnly o3 measured
OSWorld23.0%Not measuredOnly o3 measured
Berkeley Function Calling Leaderboard (BFCL)63.0%Not measuredOnly o3 measured
BrowseComp-Plus65.9%Not measuredOnly o3 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index27
Reasoning benchmarks for o3 and MiMo-V2.5
Benchmarko3MiMo-V2.5Leader
GPQA Diamond84.1%81.6%o3
MMMU Pro (Vals AI)80.4%80.0%o3
GPQA Diamond (Artificial Analysis run)82.7%84.9%MiMo-V2.5
Humanity's Last Exam (Artificial Analysis run)20.1%27.2%MiMo-V2.5
GPQA Diamond (Epoch AI run)81.8%Not measuredOnly o3 measured
ARC-AGI60.8%Not measuredOnly o3 measured
ARC-AGI-26.5%Not measuredOnly o3 measured
SimpleBench53.1%Not measuredOnly o3 measured
Chess puzzles37.0%Not measuredOnly o3 measured
Mystery game puzzles29.0%Not measuredOnly o3 measured
VPCT52.0%Not measuredOnly o3 measured
LMArena Text: hard prompts14021450MiMo-V2.5
LMArena Text: expert14021459MiMo-V2.5
LMArena Text: hard prompts in English14111461MiMo-V2.5
LMArena Vision: diagrams12201269MiMo-V2.5
LMArena Vision: homework12341262MiMo-V2.5
Kagi LLM Benchmark67.6%Not measuredOnly o3 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for o3 and MiMo-V2.5
Benchmarko3MiMo-V2.5Leader
AIME85.3%Not measuredOnly o3 measured
MATH 500 (Vals AI)94.6%Not measuredOnly o3 measured
MGSM (Vals AI)91.8%Not measuredOnly o3 measured
AA Math Index88.3Not measuredOnly o3 measured
AIME 2025 (Artificial Analysis run)88.3%Not measuredOnly o3 measured
OTIS Mock AIME84.4%Not measuredOnly o3 measured
FrontierMath, tiers 1 to 333.3%Not measuredOnly o3 measured
ProofBenchNot measured16.0%Only MiMo-V2.5 measured
MATH level 597.8%Not measuredOnly o3 measured
LMArena Text: math14261436MiMo-V2.5
LMArena Text: mathematical work14231451MiMo-V2.5
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index73
Knowledge benchmarks for o3 and MiMo-V2.5
Benchmarko3MiMo-V2.5Leader
MMLU Pro85.6%82.9%o3
LegalBench (Vals AI)83.8%78.9%o3
CorpFin (Vals AI)59.7%59.9%MiMo-V2.5
TaxEval (Vals AI)74.6%71.8%o3
MortgageTax (Vals AI)65.7%59.3%o3
MedQA (Vals AI)96.1%Not measuredOnly o3 measured
MedCode (Vals AI)47.3%31.9%o3
MMLU Pro (Artificial Analysis run)85.3%Not measuredOnly o3 measured
SimpleQA Verified49.4%Not measuredOnly o3 measured
GeoBench74.0%Not measuredOnly o3 measured
LMArena Text: science14291440MiMo-V2.5
LMArena Text: medicine and healthcare14481432o3
LMArena Text: legal and government14281425o3
LMArena Text: business and finance13931432MiMo-V2.5
FACTS Benchmark Suite44.4%Not measuredOnly o3 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for o3 and MiMo-V2.5
Benchmarko3MiMo-V2.5Leader
Design Arena: websites10361266MiMo-V2.5
Design Arena: UI components10171258MiMo-V2.5
Design Arena: game dev10341249MiMo-V2.5
Design Arena: data viz12001249MiMo-V2.5
Design Arena: 3DNot measured1216Only MiMo-V2.5 measured
Design Arena: all code categories10201260MiMo-V2.5
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 index820
General benchmarks for o3 and MiMo-V2.5
Benchmarko3MiMo-V2.5Leader
SAGE (Vals AI)41.8%43.3%MiMo-V2.5
MedScribe (Vals AI)76.7%72.2%o3
Vals Multimodal IndexNot measured52.8%Only MiMo-V2.5 measured
IFBench71.4%67.1%o3
Long context reasoning (AA-LCR)74.7%73.0%o3
DTBench84.8%Not measuredOnly o3 measured
LMCA39.7%Not measuredOnly o3 measured
Fiction.LiveBench88.9%Not measuredOnly o3 measured
Creative writing (Lech Mazur)83.9%Not measuredOnly o3 measured
CL-bench17.8%Not measuredOnly o3 measured
LMArena Text14101428MiMo-V2.5
LMArena Text: instruction following13681435MiMo-V2.5
LMArena Text: creative writing13591393MiMo-V2.5
LMArena Vision12141247MiMo-V2.5
LMArena Text: English14171447MiMo-V2.5
LMArena Text: non-English14011405MiMo-V2.5
LMArena Text: Chinese14371469MiMo-V2.5
LMArena Text: German14201421MiMo-V2.5
LMArena Text: Japanese14031306o3
LMArena Text: Korean13701361o3
LMArena Text: French14301448MiMo-V2.5
LMArena Text: Spanish13951414MiMo-V2.5
LMArena Text: Russian14061396o3
LMArena Text: Polish14381413o3
LMArena Text: multi-turn14051445MiMo-V2.5
LMArena Text: longer queries13721445MiMo-V2.5
LMArena Text: writing and language13721409MiMo-V2.5
LMArena Text: entertainment and media13731399MiMo-V2.5
LMArena Vision: English12211259MiMo-V2.5
LMArena Vision: Chinese12371326MiMo-V2.5
LMArena Vision: reading text12181256MiMo-V2.5
LMArena Vision: humor12221226MiMo-V2.5
LMArena Vision: captioning1210Not measuredOnly o3 measured
LMArena Vision: recognizing things12341189o3
LMArena Vision: creative writing12011230MiMo-V2.5
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for o3 and MiMo-V2.5
Benchmarko3MiMo-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

o3$0.0060Fits in one request
MiMo-V2.5$0.0003Fits in one request

MiMo-V2.5 costs less

Repository review

50K input + 3K output tokens

o3$0.124Fits in one request
MiMo-V2.5$0.0094Fits in one request

MiMo-V2.5 costs less

Agent loop

200K input + 10K output tokens

o3$0.480Exceeds the context window
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 o3 and MiMo-V2.5
SpecificationOpenAI o3Xiaomi MiMo-V2.5
MakerOpenAIXiaomi
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2025April 22, 2026
Context window200K1.05M
Input $/Mtok$2.00$0.168
Output $/Mtok$8.00$0.336
Coding indexNot benchmarked50.0
Independent measurements behind it03
Cost per solved task$0.571$0.01
SourceOpenRouter listingOpenRouter listing

Questions

Is o3 better than MiMo-V2.5 for coding?

Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding. Pick o3 for work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads.

Which is cheaper, o3 or MiMo-V2.5?

o3 costs $2.00 per million input tokens and $8.00 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Per solved SWE-bench Verified task, o3 costs $0.571 and MiMo-V2.5 $0.01.

Which has the bigger context window, o3 or MiMo-V2.5?

MiMo-V2.5, with 1.05M tokens against 200K.

How many benchmarks is the o3 vs MiMo-V2.5 comparison based on?

61 benchmarks have a result for both models as of October 21, 2026. o3'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.

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