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GPT-5 vs MiMo-V2.5-Pro

GPT-5 leads MiMo-V2.5-Pro on coding, 38.8 to 31.6 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 10.9x less per output token ($0.9152 vs $10.00 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Replace GPT-5 Replace MiMo-V2.5-Pro
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
8
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
52
vs boards won of 60 shared

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

Pick GPT-5 for coding: it scores 38.8 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro, though on 3 benchmarks against 4.

Pick MiMo-V2.5-Pro for output tokens 10.9x cheaper ($0.9152 vs $10.00 per million) and a lower cost per solved task ($0.03 against $0.39).

Model AGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved taskModel BMiMo-V2.5-ProXiaomi31.6/1004 independent benchmarks$0.03 per solved task
Shared results
60
GPT-5 only
53
MiMo-V2.5-Pro 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-Pro 31.6 from 4 benchmarks.
Widest category
Math, 10.2 points apart on average over 3 shared benchmarks.
Widest single gap
Design Arena: 3D: GPT-5 1055 against MiMo-V2.5-Pro 1243, 23.5 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against MiMo-V2.5-Pro $0.9152 per million output tokens, 10.9x apart.
Context window
GPT-5 takes 400K 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
CategoryGPT-5BarsMiMo-V2.5-ProTies
Coding19
Intelligence01
Agentic work01
Reasoning15
Math03
Knowledge36
Web design17
General220
All shared boards852
CodingLike-for-likeSix of these boards feed the Vibe Coding Index19
Coding benchmarks for GPT-5 and MiMo-V2.5-Pro
BenchmarkGPT-5MiMo-V2.5-ProLeader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev14181480MiMo-V2.5-Pro
AA Coding Index37.860.2MiMo-V2.5-Pro
LiveCodeBench (Vals AI)85.9%81.3%GPT-5
SWE-bench Verified (Vals AI)69.0%74.0%MiMo-V2.5-Pro
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)20.1%34.1%MiMo-V2.5-Pro
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
LiveCodeBench (Artificial Analysis run)84.6%Not measuredOnly GPT-5 measured
SciCodeNot measured50.6%Only MiMo-V2.5-Pro measured
Terminal-Bench Hard (Artificial Analysis run)37.9%43.2%MiMo-V2.5-Pro
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%Not measuredOnly GPT-5 measured
ALE-Bench807.6899.8MiMo-V2.5-Pro
LMArena Text: coding14361501MiMo-V2.5-Pro
LMArena Text: software and IT14201495MiMo-V2.5-Pro
LMArena WebDev: ReactNot measured1469Only MiMo-V2.5-Pro measured
LMArena WebDev: HTML14271473MiMo-V2.5-Pro
SciCode0.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-5 and MiMo-V2.5-Pro
BenchmarkGPT-5MiMo-V2.5-ProLeader
AA Intelligence Index23.026.0MiMo-V2.5-Pro
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-Pro
BenchmarkGPT-5MiMo-V2.5-ProLeader
AA Agentic IndexNot measured21.3Only MiMo-V2.5-Pro measured
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 Telecom86.5%94.2%MiMo-V2.5-Pro
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 index15
Reasoning benchmarks for GPT-5 and MiMo-V2.5-Pro
BenchmarkGPT-5MiMo-V2.5-ProLeader
GPQA Diamond85.6%82.6%GPT-5
MMMU Pro (Vals AI)81.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Artificial Analysis run)85.4%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)28.5%35.7%MiMo-V2.5-Pro
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 prompts14151486MiMo-V2.5-Pro
LMArena Text: expert14191501MiMo-V2.5-Pro
LMArena Text: hard prompts in English14191494MiMo-V2.5-Pro
LMArena Vision: diagrams1252Not measuredOnly GPT-5 measured
LMArena Vision: homework1278Not measuredOnly GPT-5 measured
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 index03
Math benchmarks for GPT-5 and MiMo-V2.5-Pro
BenchmarkGPT-5MiMo-V2.5-ProLeader
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%22.0%MiMo-V2.5-Pro
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071481MiMo-V2.5-Pro
LMArena Text: mathematical work14051491MiMo-V2.5-Pro
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index36
Knowledge benchmarks for GPT-5 and MiMo-V2.5-Pro
BenchmarkGPT-5MiMo-V2.5-ProLeader
MMLU Pro86.5%84.6%GPT-5
LegalBench (Vals AI)86.0%77.1%GPT-5
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%61.4%MiMo-V2.5-Pro
TaxEval (Vals AI)73.4%73.8%MiMo-V2.5-Pro
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-5 measured
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%32.5%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: science14161482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14131473MiMo-V2.5-Pro
LMArena Text: legal and government14311474MiMo-V2.5-Pro
LMArena Text: business and finance14001466MiMo-V2.5-Pro
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 index17
Web design benchmarks for GPT-5 and MiMo-V2.5-Pro
BenchmarkGPT-5MiMo-V2.5-ProLeader
Design Arena: websites11841266MiMo-V2.5-Pro
Design Arena: UI components11771246MiMo-V2.5-Pro
Design Arena: game dev11851261MiMo-V2.5-Pro
Design Arena: data viz12211257MiMo-V2.5-Pro
Design Arena: 3D10551243MiMo-V2.5-Pro
Design Arena: all code categories11671265MiMo-V2.5-Pro
Design Arena: SVG11881181GPT-5
Design Arena: ASCII art11411156MiMo-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 index220
General benchmarks for GPT-5 and MiMo-V2.5-Pro
BenchmarkGPT-5MiMo-V2.5-ProLeader
SAGE (Vals AI)43.7%Not measuredOnly GPT-5 measured
MedScribe (Vals AI)83.7%83.7%MiMo-V2.5-Pro
IFBench73.1%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)78.2%79.7%MiMo-V2.5-Pro
DTBench90.7%84.5%GPT-5
LMCA40.0%29.5%GPT-5
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
LMArena Text14061464MiMo-V2.5-Pro
LMArena Text: instruction following13881475MiMo-V2.5-Pro
LMArena Text: creative writing13651438MiMo-V2.5-Pro
LMArena Vision1232Not measuredOnly GPT-5 measured
LMArena Text: English14091477MiMo-V2.5-Pro
LMArena Text: non-English13971448MiMo-V2.5-Pro
LMArena Text: Chinese14221507MiMo-V2.5-Pro
LMArena Text: German14161459MiMo-V2.5-Pro
LMArena Text: Japanese14091410MiMo-V2.5-Pro
LMArena Text: Korean13601435MiMo-V2.5-Pro
LMArena Text: French14091487MiMo-V2.5-Pro
LMArena Text: Spanish13991469MiMo-V2.5-Pro
LMArena Text: Russian14071449MiMo-V2.5-Pro
LMArena Text: Polish14311464MiMo-V2.5-Pro
LMArena Text: multi-turn14261476MiMo-V2.5-Pro
LMArena Text: longer queries13991481MiMo-V2.5-Pro
LMArena Text: writing and language13841451MiMo-V2.5-Pro
LMArena Text: entertainment and media13791438MiMo-V2.5-Pro
LMArena Vision: English1231Not measuredOnly GPT-5 measured
LMArena Vision: Chinese1267Not measuredOnly GPT-5 measured
LMArena Vision: reading text1246Not measuredOnly GPT-5 measured
LMArena Vision: humor1219Not measuredOnly GPT-5 measured
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things1263Not measuredOnly GPT-5 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-5 measured
Neither model has a result on the other 13 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-Pro
BenchmarkGPT-5MiMo-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

GPT-5$0.0063Fits in one request
MiMo-V2.5-Pro$0.0009Fits in one request

MiMo-V2.5-Pro costs less

Repository review

50K input + 3K output tokens

GPT-5$0.092Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

MiMo-V2.5-Pro costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
MiMo-V2.5-Pro$0.101Fits in one request

MiMo-V2.5-Pro 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-Pro
SpecificationOpenAI GPT-5Xiaomi MiMo-V2.5-Pro
MakerOpenAIXiaomi
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025April 22, 2026
Context window400K1.05M
Input $/Mtok$1.25$0.4575
Output $/Mtok$10.00$0.9152
Coding index38.831.6
Independent measurements behind it34
Cost per solved task$0.39$0.03
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5 for coding: it scores 38.8 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro, though on 3 benchmarks against 4. Pick MiMo-V2.5-Pro for output tokens 10.9x cheaper ($0.9152 vs $10.00 per million) and a lower cost per solved task ($0.03 against $0.39).

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

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, GPT-5 costs $0.39 and MiMo-V2.5-Pro $0.03.

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

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

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

60 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-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.

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