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GPT-5.4 vs MiMo-V2.5

GPT-5.4 leads MiMo-V2.5 on coding, 64.4 to 50.0 on the Vibe Coding Index, and MiMo-V2.5 costs 44.6x less per output token ($0.336 vs $15.00 per million). Updated October 21, 2026; 72 benchmarks have a result for both.

GPT-5.4OpenAI
Coding
64.4
Overall
69.6
Output $/M
$15.00
64
MiMo-V2.5Xiaomi
Coding
50.0
Overall
50.7
Output $/M
$0.336
8
vs boards won of 72 shared

GPT-5.4 or MiMo-V2.5: which to pick

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 50.0 for MiMo-V2.5.

Pick MiMo-V2.5 for output tokens 44.6x cheaper ($0.336 vs $15.00 per million) and a lower cost per solved task ($0.01 against $1.02).

Shared results
72
GPT-5.4 only
38
MiMo-V2.5 only
8
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-5.4 64.4 from 3 benchmarks, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category
Math, 18.8 points apart on average over 3 shared benchmarks.
Widest single gap
ProofBench: GPT-5.4 56.0% against MiMo-V2.5 16.0%, 40.0 points apart on a 0 to 100 scale.
Output price
GPT-5.4 $15.00 against MiMo-V2.5 $0.336 per million output tokens, 44.6x apart.
Context window
Both take 1.05M tokens.

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-5.4BarsMiMo-V2.5Ties
Coding120
Intelligence10
Agentic work01
Reasoning90
Math30
Knowledge100
Web design17
General280
All shared boards648
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
Coding benchmarks for GPT-5.4 and MiMo-V2.5
BenchmarkGPT-5.4MiMo-V2.5Leader
LMArena WebDev14641438GPT-5.4
AA Coding Index71.156.8GPT-5.4
LiveCodeBench (Vals AI)84.1%81.5%GPT-5.4
SWE-bench Verified (Vals AI)78.2%71.0%GPT-5.4
Vibe Code Bench (Vals AI)67.4%42.2%GPT-5.4
Code migration (Vals AI)35.0%14.2%GPT-5.4
ProgramBench (Vals AI)0.5%Not measuredOnly GPT-5.4 measured
Terminal-Bench 2.1 (Vals AI)Not measured60.7%Only MiMo-V2.5 measured
SkillsBench (Vals AI)51.7%Not measuredOnly GPT-5.4 measured
SciCodeNot measured43.9%Only MiMo-V2.5 measured
Terminal-Bench Hard (Artificial Analysis run)57.6%41.7%GPT-5.4
Terminal-Bench81.8%Not measuredOnly GPT-5.4 measured
GSO-Bench31.4%Not measuredOnly GPT-5.4 measured
WeirdML77.7%Not measuredOnly GPT-5.4 measured
MirrorCode15.6%Not measuredOnly GPT-5.4 measured
ALE-Bench1607.0514.0GPT-5.4
LMArena Text: coding14961469GPT-5.4
LMArena Text: software and IT14911463GPT-5.4
LMArena WebDev: React14541425GPT-5.4
LMArena WebDev: HTML14781429GPT-5.4
LMArena WebDev: from an image1436Not measuredOnly GPT-5.4 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-5.4 and MiMo-V2.5
BenchmarkGPT-5.4MiMo-V2.5Leader
AA Intelligence Index39.021.8GPT-5.4
Epoch Capabilities Index157.3Not measuredOnly GPT-5.4 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5.4 and MiMo-V2.5
BenchmarkGPT-5.4MiMo-V2.5Leader
AA Agentic IndexNot measured15.8Only MiMo-V2.5 measured
Design Arena: agents building web apps1059Not measuredOnly GPT-5.4 measured
Design Arena: agents building full-stack apps1017Not measuredOnly GPT-5.4 measured
Design Arena: agents building mobile apps1087Not measuredOnly GPT-5.4 measured
Design Arena: agents building Android apps1030Not measuredOnly GPT-5.4 measured
Design Arena: agents building Godot games1135Not measuredOnly GPT-5.4 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 Telecom87.1%90.6%MiMo-V2.5
APEX-Agents52.4%Not measuredOnly GPT-5.4 measured
METR time horizons74.3%Not measuredOnly GPT-5.4 measured
DeepResearch Bench35.1%Not measuredOnly GPT-5.4 measured
PostTrainBench19.0%Not measuredOnly GPT-5.4 measured
Vending-Bench 2$6,144Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for GPT-5.4 and MiMo-V2.5
BenchmarkGPT-5.4MiMo-V2.5Leader
GPQA Diamond91.7%81.6%GPT-5.4
MMMU Pro (Vals AI)87.5%80.0%GPT-5.4
GPQA Diamond (Artificial Analysis run)92.0%84.9%GPT-5.4
Humanity's Last Exam (Artificial Analysis run)43.7%27.2%GPT-5.4
GPQA Diamond (Epoch AI run)93.3%Not measuredOnly GPT-5.4 measured
ARC-AGI93.7%Not measuredOnly GPT-5.4 measured
ARC-AGI-274.0%Not measuredOnly GPT-5.4 measured
Chess puzzles48.0%Not measuredOnly GPT-5.4 measured
Mystery game puzzles37.0%Not measuredOnly GPT-5.4 measured
EBR-bench25.4%Not measuredOnly GPT-5.4 measured
LMArena Text: hard prompts14851450GPT-5.4
LMArena Text: expert15071459GPT-5.4
LMArena Text: hard prompts in English14791461GPT-5.4
LMArena Vision: diagrams13271269GPT-5.4
LMArena Vision: homework13361262GPT-5.4
Kagi LLM Benchmark63.8%Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GPT-5.4 and MiMo-V2.5
BenchmarkGPT-5.4MiMo-V2.5Leader
AIME96.7%Not measuredOnly GPT-5.4 measured
OTIS Mock AIME97.8%Not measuredOnly GPT-5.4 measured
FrontierMath, tiers 1 to 378.6%Not measuredOnly GPT-5.4 measured
FrontierMath, tier 449.0%Not measuredOnly GPT-5.4 measured
ProofBench56.0%16.0%GPT-5.4
LMArena Text: math14881436GPT-5.4
LMArena Text: mathematical work14971451GPT-5.4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for GPT-5.4 and MiMo-V2.5
BenchmarkGPT-5.4MiMo-V2.5Leader
MMLU Pro87.5%82.9%GPT-5.4
LegalBench (Vals AI)86.0%78.9%GPT-5.4
CaseLaw (Vals AI)63.8%Not measuredOnly GPT-5.4 measured
CorpFin (Vals AI)65.3%59.9%GPT-5.4
TaxEval (Vals AI)74.0%71.8%GPT-5.4
MortgageTax (Vals AI)68.3%59.3%GPT-5.4
MedQA (Vals AI)96.1%Not measuredOnly GPT-5.4 measured
MedCode (Vals AI)41.3%31.9%GPT-5.4
SimpleQA Verified45.1%Not measuredOnly GPT-5.4 measured
LMArena Text: science14791440GPT-5.4
LMArena Text: medicine and healthcare14581432GPT-5.4
LMArena Text: legal and government14861425GPT-5.4
LMArena Text: business and finance14741432GPT-5.4
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for GPT-5.4 and MiMo-V2.5
BenchmarkGPT-5.4MiMo-V2.5Leader
Design Arena: websites11991266MiMo-V2.5
Design Arena: UI components12151258MiMo-V2.5
Design Arena: game dev11951249MiMo-V2.5
Design Arena: data viz11961249MiMo-V2.5
Design Arena: 3D10661216MiMo-V2.5
Design Arena: all code categories11801260MiMo-V2.5
Design Arena: SVG11421178MiMo-V2.5
Design Arena: ASCII art11881140GPT-5.4
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index280
General benchmarks for GPT-5.4 and MiMo-V2.5
BenchmarkGPT-5.4MiMo-V2.5Leader
SAGE (Vals AI)43.3%43.3%GPT-5.4
MedScribe (Vals AI)77.5%72.2%GPT-5.4
Vals Multimodal IndexNot measured52.8%Only MiMo-V2.5 measured
IFBench73.9%67.1%GPT-5.4
Long context reasoning (AA-LCR)82.0%73.0%GPT-5.4
DTBench94.4%Not measuredOnly GPT-5.4 measured
LMCA52.0%Not measuredOnly GPT-5.4 measured
CL-bench27.9%Not measuredOnly GPT-5.4 measured
Furniture assembly37.5%Not measuredOnly GPT-5.4 measured
CL-bench Life21.7%Not measuredOnly GPT-5.4 measured
LMArena Text14691428GPT-5.4
LMArena Text: instruction following14691435GPT-5.4
LMArena Text: creative writing14391393GPT-5.4
LMArena Vision13031247GPT-5.4
LMArena Text: English14671447GPT-5.4
LMArena Text: non-English14651405GPT-5.4
LMArena Text: Chinese15201469GPT-5.4
LMArena Text: German14721421GPT-5.4
LMArena Text: Japanese14851306GPT-5.4
LMArena Text: Korean14491361GPT-5.4
LMArena Text: French14931448GPT-5.4
LMArena Text: Spanish14521414GPT-5.4
LMArena Text: Russian14801396GPT-5.4
LMArena Text: Polish14721413GPT-5.4
LMArena Text: multi-turn14821445GPT-5.4
LMArena Text: longer queries14731445GPT-5.4
LMArena Text: writing and language14581409GPT-5.4
LMArena Text: entertainment and media14381399GPT-5.4
LMArena Vision: English13011259GPT-5.4
LMArena Vision: Chinese13541326GPT-5.4
LMArena Vision: reading text13121256GPT-5.4
LMArena Vision: humor12841226GPT-5.4
LMArena Vision: recognizing things12511189GPT-5.4
LMArena Vision: creative writing12831230GPT-5.4
LMArena Document1471Not measuredOnly GPT-5.4 measured
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 GPT-5.4 and MiMo-V2.5
BenchmarkGPT-5.4MiMo-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

GPT-5.4$0.010Fits in one request
MiMo-V2.5$0.0003Fits in one request

MiMo-V2.5 costs less

Repository review

50K input + 3K output tokens

GPT-5.4$0.170Fits in one request
MiMo-V2.5$0.0094Fits in one request

MiMo-V2.5 costs less

Agent loop

200K input + 10K output tokens

GPT-5.4$0.650Fits 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-5.4 and MiMo-V2.5
SpecificationOpenAI GPT-5.4Xiaomi MiMo-V2.5
MakerOpenAIXiaomi
WeightsNo public weights listedOpen weights
ReleasedMarch 5, 2026April 22, 2026
Context window1.05M1.05M
Input $/Mtok$2.50$0.168
Output $/Mtok$15.00$0.336
Coding index64.450.0
Independent measurements behind it33
Cost per solved task$1.02$0.01
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 better than MiMo-V2.5 for coding?

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 50.0 for MiMo-V2.5. Pick MiMo-V2.5 for output tokens 44.6x cheaper ($0.336 vs $15.00 per million) and a lower cost per solved task ($0.01 against $1.02).

Which is cheaper, GPT-5.4 or MiMo-V2.5?

GPT-5.4 costs $2.50 per million input tokens and $15.00 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Per solved SWE-bench Verified task, GPT-5.4 costs $1.02 and MiMo-V2.5 $0.01.

Which has the bigger context window, GPT-5.4 or MiMo-V2.5?

Neither: both take 1.05M tokens.

How many benchmarks is the GPT-5.4 vs MiMo-V2.5 comparison based on?

72 benchmarks have a result for both models as of October 21, 2026. GPT-5.4'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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-4-vs-xiaomi-mimo-v2-5">LLMBenchmark.ai, GPT-5.4 vs MiMo-V2.5</a></p>