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GPT-4.1 vs MiMo-V2.5

Updated October 21, 2026. 59 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GPT-4.1OpenAI
Coding
46.5
Overall
12.7
Output $/M
$8.00
7
MiMo-V2.5Xiaomi
Coding
34.0
Overall
21.8
Output $/M
$0.238
52
vs boards won of 59 shared

Decision reading

Pick GPT-4.1 for coding: it scores 46.5 on the Vibe Coding Index against 34.0 for MiMo-V2.5.

Pick MiMo-V2.5 when output tokens cost 33.6x less, or when a solved task costs $0.01 against $0.37.

Shared results
59
GPT-4.1 only
28
MiMo-V2.5 only
21
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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-4.1 46.5 from 2 benchmarks, MiMo-V2.5 34.0 from 1 benchmark.
Widest category
Agentic work, 43.6 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: 3D: GPT-4.1 850 against MiMo-V2.5 1216, 45.8 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against MiMo-V2.5 $0.238 per million output tokens, 33.6x apart.
Context window
GPT-4.1 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
CategoryGPT-4.1BarsMiMo-V2.5Ties
Coding14
Intelligence01
Agentic work01
Reasoning09
Math02
Knowledge45
Web design06
General224
All shared boards752
CodingLike-for-likeFour of these boards feed the Vibe Coding Index14
Coding benchmarks for GPT-4.1 and MiMo-V2.5
BenchmarkGPT-4.1MiMo-V2.5Leader
Aider polyglot52.4%Not measuredOnly GPT-4.1 measured
SWE-bench Verified39.6%Not measuredOnly GPT-4.1 measured
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
LMArena WebDevNot measured1438Only MiMo-V2.5 measured
AA Coding IndexNot measured56.8Only MiMo-V2.5 measured
LiveCodeBench (Vals AI)54.7%81.5%MiMo-V2.5
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)45.7%Not measuredOnly GPT-4.1 measured
SciCodeNot measured43.9%Only MiMo-V2.5 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%41.7%MiMo-V2.5
WeirdML39.0%Not measuredOnly GPT-4.1 measured
ALE-Bench558.1514.0GPT-4.1
LMArena Text: coding13901469MiMo-V2.5
LMArena Text: software and IT13911463MiMo-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 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4.1 and MiMo-V2.5
BenchmarkGPT-4.1MiMo-V2.5Leader
AA Intelligence Index12.721.8MiMo-V2.5
Epoch Capabilities Index136.7Not measuredOnly GPT-4.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 and MiMo-V2.5
BenchmarkGPT-4.1MiMo-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 Telecom47.1%90.6%MiMo-V2.5
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for GPT-4.1 and MiMo-V2.5
BenchmarkGPT-4.1MiMo-V2.5Leader
GPQA Diamond65.4%81.6%MiMo-V2.5
MMMU Pro (Vals AI)72.4%80.0%MiMo-V2.5
GPQA Diamond (Artificial Analysis run)66.6%84.9%MiMo-V2.5
Humanity's Last Exam (Artificial Analysis run)4.2%27.2%MiMo-V2.5
GPQA Diamond (Epoch AI run)66.9%Not measuredOnly GPT-4.1 measured
ARC-AGI5.5%Not measuredOnly GPT-4.1 measured
ARC-AGI-20.4%Not measuredOnly GPT-4.1 measured
SimpleBench27.0%Not measuredOnly GPT-4.1 measured
Chess puzzles3.0%Not measuredOnly GPT-4.1 measured
LMArena Text: hard prompts13841450MiMo-V2.5
LMArena Text: expert13641459MiMo-V2.5
LMArena Text: hard prompts in English13931461MiMo-V2.5
LMArena Vision: diagrams12151269MiMo-V2.5
LMArena Vision: homework12481262MiMo-V2.5
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4.1 and MiMo-V2.5
BenchmarkGPT-4.1MiMo-V2.5Leader
AIME39.6%Not measuredOnly GPT-4.1 measured
MATH 500 (Vals AI)87.2%Not measuredOnly GPT-4.1 measured
MGSM (Vals AI)87.7%Not measuredOnly GPT-4.1 measured
AA Math Index34.7Not measuredOnly GPT-4.1 measured
AIME 2025 (Artificial Analysis run)34.7%Not measuredOnly GPT-4.1 measured
OTIS Mock AIME38.3%Not measuredOnly GPT-4.1 measured
FrontierMath, tiers 1 to 36.0%Not measuredOnly GPT-4.1 measured
ProofBenchNot measured16.0%Only MiMo-V2.5 measured
MATH level 583.0%Not measuredOnly GPT-4.1 measured
LMArena Text: math13691436MiMo-V2.5
LMArena Text: mathematical work13601451MiMo-V2.5
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index45
Knowledge benchmarks for GPT-4.1 and MiMo-V2.5
BenchmarkGPT-4.1MiMo-V2.5Leader
MMLU Pro80.5%82.9%MiMo-V2.5
LegalBench (Vals AI)83.1%78.9%GPT-4.1
CaseLaw (Vals AI)69.9%Not measuredOnly GPT-4.1 measured
CorpFin (Vals AI)63.0%59.9%GPT-4.1
TaxEval (Vals AI)75.1%71.8%GPT-4.1
MortgageTax (Vals AI)65.9%59.3%GPT-4.1
MedQA (Vals AI)91.2%Not measuredOnly GPT-4.1 measured
MedCode (Vals AI)Not measured31.9%Only MiMo-V2.5 measured
MMLU Pro (Artificial Analysis run)80.6%Not measuredOnly GPT-4.1 measured
SimpleQA Verified31.1%Not measuredOnly GPT-4.1 measured
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821440MiMo-V2.5
LMArena Text: medicine and healthcare13791432MiMo-V2.5
LMArena Text: legal and government13991425MiMo-V2.5
LMArena Text: business and finance13691432MiMo-V2.5
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 and MiMo-V2.5
BenchmarkGPT-4.1MiMo-V2.5Leader
Design Arena: websites10391266MiMo-V2.5
Design Arena: UI components10001257MiMo-V2.5
Design Arena: game dev10801249MiMo-V2.5
Design Arena: data viz11041249MiMo-V2.5
Design Arena: 3D8501216MiMo-V2.5
Design Arena: all code categories10261260MiMo-V2.5
Design Arena: SVGNot measured1178Only MiMo-V2.5 measured
Design Arena: ASCII artNot measured1141Only 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 index224
General benchmarks for GPT-4.1 and MiMo-V2.5
BenchmarkGPT-4.1MiMo-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
IFBench43.0%67.1%MiMo-V2.5
Long context reasoning (AA-LCR)68.3%73.0%MiMo-V2.5
DTBench68.3%Not measuredOnly GPT-4.1 measured
LMCA25.6%Not measuredOnly GPT-4.1 measured
Fiction.LiveBench63.9%Not measuredOnly GPT-4.1 measured
LMArena Text13831428MiMo-V2.5
LMArena Text: instruction following13671435MiMo-V2.5
LMArena Text: creative writing13631393MiMo-V2.5
LMArena Vision12101247MiMo-V2.5
LMArena Text: English13921447MiMo-V2.5
LMArena Text: non-English13701405MiMo-V2.5
LMArena Text: Chinese13821469MiMo-V2.5
LMArena Text: German13811421MiMo-V2.5
LMArena Text: Japanese13191306GPT-4.1
LMArena Text: Korean13381361MiMo-V2.5
LMArena Text: French13821448MiMo-V2.5
LMArena Text: Spanish13761414MiMo-V2.5
LMArena Text: Russian13771396MiMo-V2.5
LMArena Text: Polish13891413MiMo-V2.5
LMArena Text: multi-turn13971445MiMo-V2.5
LMArena Text: longer queries13851445MiMo-V2.5
LMArena Text: writing and language13711409MiMo-V2.5
LMArena Text: entertainment and media13651399MiMo-V2.5
LMArena Vision: English12091259MiMo-V2.5
LMArena Vision: Chinese12261326MiMo-V2.5
LMArena Vision: reading text12181256MiMo-V2.5
LMArena Vision: humor11961226MiMo-V2.5
LMArena Vision: captioning1207Not measuredOnly GPT-4.1 measured
LMArena Vision: recognizing things12081189GPT-4.1
LMArena Vision: creative writing12101230MiMo-V2.5
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-4.1 and MiMo-V2.5
BenchmarkGPT-4.1MiMo-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-4.1$0.0060Fits in one request
MiMo-V2.5$0.0002Fits in one request

MiMo-V2.5 costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request
MiMo-V2.5$0.0067Fits in one request

MiMo-V2.5 costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request
MiMo-V2.5$0.026Fits 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-4.1 and MiMo-V2.5
SpecificationOpenAI GPT-4.1Xiaomi MiMo-V2.5
MakerOpenAIXiaomi
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025April 22, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$0.119
Output $/Mtok$8.00$0.238
Coding index46.534.0
Independent measurements behind it21
Cost per solved task$0.37$0.01
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 better than MiMo-V2.5 for coding?

Pick GPT-4.1 for coding: it scores 46.5 on the Vibe Coding Index against 34.0 for MiMo-V2.5. Pick MiMo-V2.5 when output tokens cost 33.6x less, or when a solved task costs $0.01 against $0.37.

Which is cheaper, GPT-4.1 or MiMo-V2.5?

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; MiMo-V2.5 costs $0.119 and $0.238. Per solved SWE-bench Verified task, GPT-4.1 costs $0.37 and MiMo-V2.5 $0.01.

Which has the bigger context window, GPT-4.1 or MiMo-V2.5?

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

How many benchmarks is the GPT-4.1 vs MiMo-V2.5 comparison based on?

59 benchmarks have a result for both models as of October 21, 2026. GPT-4.1's coding index rests on 2 independent benchmarks and MiMo-V2.5's on 1. Where only one model has a result, the page says so instead of naming a winner.

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