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GPT-5 vs MiMo-V2.5

MiMo-V2.5 leads GPT-5 on coding, 50.0 to 38.8 on the Vibe Coding Index, and MiMo-V2.5 costs 29.8x less per output token ($0.336 vs $10.00 per million). Updated October 22, 2026; 70 benchmarks have a result for both.

GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
26
MiMo-V2.5Xiaomi
Coding
50.0
Overall
50.7
Output $/M
$0.336
44
vs boards won of 70 shared

GPT-5 or MiMo-V2.5: which to pick

Pick MiMo-V2.5 for coding: it scores 50.0 on the Vibe Coding Index against 38.8 for GPT-5.

Pick GPT-5 for work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads.

Shared results
70
GPT-5 only
43
MiMo-V2.5 only
10
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
GPT-5 38.8 from 3 benchmarks, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category
Web design, 8.0 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5 20.1% against MiMo-V2.5 42.2%, 22.1 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against MiMo-V2.5 $0.336 per million output tokens, 29.8x apart.
Context window
GPT-5 takes 400K 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
CategoryGPT-5BarsMiMo-V2.5Ties
Coding28
Intelligence10
Agentic work01
Reasoning54
Math12
Knowledge73
Web design26
General820
All shared boards2644
CodingLike-for-likeSix of these boards feed the Vibe Coding Index28
Coding benchmarks for GPT-5 and MiMo-V2.5
BenchmarkGPT-5MiMo-V2.5Leader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev14181438MiMo-V2.5
AA Coding Index37.856.8MiMo-V2.5
LiveCodeBench (Vals AI)85.9%81.5%GPT-5
SWE-bench Verified (Vals AI)69.0%71.0%MiMo-V2.5
Vibe Code Bench (Vals AI)20.1%42.2%MiMo-V2.5
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)84.6%Not measuredOnly GPT-5 measured
SciCodeNot measured43.9%Only MiMo-V2.5 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%41.7%MiMo-V2.5
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%Not measuredOnly GPT-5 measured
ALE-Bench807.6514.0GPT-5
LMArena Text: coding14361469MiMo-V2.5
LMArena Text: software and IT14201463MiMo-V2.5
LMArena WebDev: ReactNot measured1425Only MiMo-V2.5 measured
LMArena WebDev: HTML14271429MiMo-V2.5
SciCode0.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5 and MiMo-V2.5
BenchmarkGPT-5MiMo-V2.5Leader
AA Intelligence Index23.021.8GPT-5
Epoch Capabilities Index150.0Not measuredOnly GPT-5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 and MiMo-V2.5
BenchmarkGPT-5MiMo-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 Telecom86.5%90.6%MiMo-V2.5
METR time horizons69.6%Not measuredOnly GPT-5 measured
Remote Labor Index1.7%Not measuredOnly GPT-5 measured
GDPval34.8%Not measuredOnly GPT-5 measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index54
Reasoning benchmarks for GPT-5 and MiMo-V2.5
BenchmarkGPT-5MiMo-V2.5Leader
GPQA Diamond85.6%81.6%GPT-5
MMMU Pro (Vals AI)81.5%80.0%GPT-5
GPQA Diamond (Artificial Analysis run)85.4%84.9%GPT-5
Humanity's Last Exam (Artificial Analysis run)28.5%27.2%GPT-5
GPQA Diamond (Epoch AI run)86.2%Not measuredOnly GPT-5 measured
ARC-AGI65.7%Not measuredOnly GPT-5 measured
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%Not measuredOnly GPT-5 measured
Chess puzzles36.0%Not measuredOnly GPT-5 measured
Mystery game puzzles23.0%Not measuredOnly GPT-5 measured
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151450MiMo-V2.5
LMArena Text: expert14191459MiMo-V2.5
LMArena Text: hard prompts in English14191461MiMo-V2.5
LMArena Vision: diagrams12521269MiMo-V2.5
LMArena Vision: homework12781262GPT-5
Kagi LLM Benchmark72.7%Not measuredOnly GPT-5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for GPT-5 and MiMo-V2.5
BenchmarkGPT-5MiMo-V2.5Leader
AIME93.4%Not measuredOnly GPT-5 measured
MATH 500 (Vals AI)96.0%Not measuredOnly GPT-5 measured
MGSM (Vals AI)92.8%Not measuredOnly GPT-5 measured
AA Math Index94.3Not measuredOnly GPT-5 measured
AIME 2025 (Artificial Analysis run)94.3%Not measuredOnly GPT-5 measured
OTIS Mock AIME91.4%Not measuredOnly GPT-5 measured
FrontierMath, tiers 1 to 355.4%Not measuredOnly GPT-5 measured
FrontierMath, tier 422.0%Not measuredOnly GPT-5 measured
ProofBench18.0%16.0%GPT-5
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071436MiMo-V2.5
LMArena Text: mathematical work14051451MiMo-V2.5
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index73
Knowledge benchmarks for GPT-5 and MiMo-V2.5
BenchmarkGPT-5MiMo-V2.5Leader
MMLU Pro86.5%82.9%GPT-5
LegalBench (Vals AI)86.0%78.9%GPT-5
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%59.9%GPT-5
TaxEval (Vals AI)73.4%71.8%GPT-5
MortgageTax (Vals AI)65.5%59.3%GPT-5
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%31.9%GPT-5
MMLU Pro (Artificial Analysis run)87.1%Not measuredOnly GPT-5 measured
SimpleQA Verified50.1%Not measuredOnly GPT-5 measured
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161440MiMo-V2.5
LMArena Text: medicine and healthcare14131432MiMo-V2.5
LMArena Text: legal and government14311425GPT-5
LMArena Text: business and finance14001432MiMo-V2.5
FACTS Benchmark Suite56.5%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index26
Web design benchmarks for GPT-5 and MiMo-V2.5
BenchmarkGPT-5MiMo-V2.5Leader
Design Arena: websites11841265MiMo-V2.5
Design Arena: UI components11771255MiMo-V2.5
Design Arena: game dev11851249MiMo-V2.5
Design Arena: data viz12211250MiMo-V2.5
Design Arena: 3D10551215MiMo-V2.5
Design Arena: all code categories11671260MiMo-V2.5
Design Arena: SVG11881179GPT-5
Design Arena: ASCII art11411140GPT-5
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 GPT-5 and MiMo-V2.5
BenchmarkGPT-5MiMo-V2.5Leader
SAGE (Vals AI)43.7%43.3%GPT-5
MedScribe (Vals AI)83.7%72.2%GPT-5
Vals Multimodal IndexNot measured52.8%Only MiMo-V2.5 measured
IFBench73.1%67.1%GPT-5
Long context reasoning (AA-LCR)78.2%73.0%GPT-5
DTBench90.7%Not measuredOnly GPT-5 measured
LMCA40.0%Not measuredOnly GPT-5 measured
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
LMArena Text14061428MiMo-V2.5
LMArena Text: instruction following13881435MiMo-V2.5
LMArena Text: creative writing13651393MiMo-V2.5
LMArena Vision12321247MiMo-V2.5
LMArena Text: English14091447MiMo-V2.5
LMArena Text: non-English13971405MiMo-V2.5
LMArena Text: Chinese14221469MiMo-V2.5
LMArena Text: German14161421MiMo-V2.5
LMArena Text: Japanese14091306GPT-5
LMArena Text: Korean13601361MiMo-V2.5
LMArena Text: French14091448MiMo-V2.5
LMArena Text: Spanish13991414MiMo-V2.5
LMArena Text: Russian14071396GPT-5
LMArena Text: Polish14311413GPT-5
LMArena Text: multi-turn14261445MiMo-V2.5
LMArena Text: longer queries13991445MiMo-V2.5
LMArena Text: writing and language13841409MiMo-V2.5
LMArena Text: entertainment and media13791399MiMo-V2.5
LMArena Vision: English12311259MiMo-V2.5
LMArena Vision: Chinese12671326MiMo-V2.5
LMArena Vision: reading text12461256MiMo-V2.5
LMArena Vision: humor12191226MiMo-V2.5
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things12631189GPT-5
LMArena Vision: creative writing12101230MiMo-V2.5
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 GPT-5 and MiMo-V2.5
BenchmarkGPT-5MiMo-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

GPT-5$0.0063Fits in one request
MiMo-V2.5$0.0003Fits in one request

MiMo-V2.5 costs less

Repository review

50K input + 3K output tokens

GPT-5$0.092Fits in one request
MiMo-V2.5$0.0094Fits in one request

MiMo-V2.5 costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits 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 GPT-5 and MiMo-V2.5
SpecificationOpenAI GPT-5Xiaomi MiMo-V2.5
MakerOpenAIXiaomi
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025April 22, 2026
Context window400K1.05M
Input $/Mtok$1.25$0.168
Output $/Mtok$10.00$0.336
Coding index38.850.0
Independent measurements behind it33
Cost per solved task$0.39$0.01
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick MiMo-V2.5 for coding: it scores 50.0 on the Vibe Coding Index against 38.8 for GPT-5. Pick GPT-5 for work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads.

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

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Per solved SWE-bench Verified task, GPT-5 costs $0.39 and MiMo-V2.5 $0.01.

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

MiMo-V2.5, with 1.05M tokens against 400K.

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

70 benchmarks have a result for both models as of October 22, 2026. GPT-5's coding index rests on 3 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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