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GPT-4.1 Mini vs o3

o3 leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 20.2 to 10.2, and GPT-4.1 Mini costs 5.0x less per output token ($1.60 vs $8.00 per million). Updated October 22, 2026; 84 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace o3
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
1
o3OpenAI
Coding
No data
Overall
51.1
Output $/M
$8.00
83
vs boards won of 84 shared

GPT-4.1 Mini or o3: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4.1 Mini for output tokens 5.0x cheaper ($1.60 vs $8.00 per million) and a larger context window (1.05M against 200K tokens).

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel Bo3OpenAINot benchmarkedNo coding benchmark$0.571 per solved task
Shared results
84
GPT-4.1 Mini only
2
o3 only
18
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-4.1 Mini not benchmarked, o3 not benchmarked.
Widest category
Coding, 25.2 points apart on average over 8 shared benchmarks.
Widest single gap
ARC-AGI: GPT-4.1 Mini 3.5% against o3 60.8%, 57.3 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against o3 $8.00 per million output tokens, 5.0x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, o3 200K.

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-4.1 MiniBarso3Ties
Coding08
Intelligence02
Agentic work02
Reasoning015
Math010
Knowledge012
Web design14
General030
All shared boards183
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for GPT-4.1 Mini and o3
BenchmarkGPT-4.1 Minio3Leader
Aider polyglot32.4%81.3%o3
SWE-bench Verified23.9%58.4%o3
SWE-bench MultimodalNot measured36.0%Only o3 measured
AA Coding Index20.2Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Vals AI)58.2%83.9%o3
LiveCodeBench (Artificial Analysis run)48.3%80.8%o3
Terminal-Bench Hard (Artificial Analysis run)7.6%37.1%o3
GSO-BenchNot measured8.8%Only o3 measured
WeirdML37.6%52.4%o3
ALE-BenchNot measured933.5Only o3 measured
LMArena Text: coding13671407o3
LMArena Text: software and IT13601415o3
SciCodeNot measured9.2%Only o3 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Mini and o3
BenchmarkGPT-4.1 Minio3Leader
AA Intelligence Index10.220.2o3
Epoch Capabilities Index134.9146.7o3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for GPT-4.1 Mini and o3
BenchmarkGPT-4.1 Minio3Leader
τ²-Bench Telecom52.9%80.7%o3
METR time horizonsNot measured65.4%Only o3 measured
GDPvalNot measured30.8%Only o3 measured
DeepResearch BenchNot measured45.2%Only o3 measured
OSWorldNot measured23.0%Only o3 measured
Berkeley Function Calling Leaderboard (BFCL)50.4%63.0%o3
BrowseComp-PlusNot measured65.9%Only o3 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index015
Reasoning benchmarks for GPT-4.1 Mini and o3
BenchmarkGPT-4.1 Minio3Leader
GPQA Diamond67.9%84.1%o3
MMMU Pro (Vals AI)70.5%80.4%o3
GPQA Diamond (Artificial Analysis run)66.4%82.7%o3
Humanity's Last Exam (Artificial Analysis run)5.0%20.1%o3
GPQA Diamond (Epoch AI run)65.8%81.8%o3
ARC-AGI3.5%60.8%o3
ARC-AGI-20.0%6.5%o3
SimpleBenchNot measured53.1%Only o3 measured
Chess puzzles1.0%37.0%o3
Mystery game puzzles7.0%29.0%o3
VPCTNot measured52.0%Only o3 measured
LMArena Text: hard prompts13491402o3
LMArena Text: expert13381402o3
LMArena Text: hard prompts in English13621411o3
LMArena Vision: diagrams11821220o3
LMArena Vision: homework12141234o3
Kagi LLM Benchmark48.6%67.6%o3
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index010
Math benchmarks for GPT-4.1 Mini and o3
BenchmarkGPT-4.1 Minio3Leader
AIME49.4%85.3%o3
MATH 500 (Vals AI)88.0%94.6%o3
MGSM (Vals AI)87.8%91.8%o3
AA Math Index46.388.3o3
AIME 2025 (Artificial Analysis run)46.3%88.3%o3
OTIS Mock AIME44.7%84.4%o3
FrontierMath, tiers 1 to 36.7%33.3%o3
MATH level 587.3%97.8%o3
LMArena Text: math13431426o3
LMArena Text: mathematical work13471423o3
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index012
Knowledge benchmarks for GPT-4.1 Mini and o3
BenchmarkGPT-4.1 Minio3Leader
MMLU Pro77.2%85.6%o3
LegalBench (Vals AI)78.0%83.8%o3
CorpFin (Vals AI)57.9%59.7%o3
TaxEval (Vals AI)71.9%74.6%o3
MortgageTax (Vals AI)65.5%65.7%o3
MedQA (Vals AI)84.6%96.1%o3
MedCode (Vals AI)Not measured47.3%Only o3 measured
MMLU Pro (Artificial Analysis run)78.1%85.3%o3
SimpleQA Verified12.7%49.4%o3
GeoBenchNot measured74.0%Only o3 measured
LMArena Text: science13281429o3
LMArena Text: medicine and healthcare13241448o3
LMArena Text: legal and government13431428o3
LMArena Text: business and finance13221393o3
FACTS Benchmark SuiteNot measured44.4%Only 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 index14
Web design benchmarks for GPT-4.1 Mini and o3
BenchmarkGPT-4.1 Minio3Leader
Design Arena: websites9971036o3
Design Arena: UI components9581017o3
Design Arena: game dev10701034GPT-4.1 Mini
Design Arena: data viz10341200o3
Design Arena: 3D836Not measuredOnly GPT-4.1 Mini measured
Design Arena: all code categories9931020o3
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index030
General benchmarks for GPT-4.1 Mini and o3
BenchmarkGPT-4.1 Minio3Leader
SAGE (Vals AI)Not measured41.8%Only o3 measured
MedScribe (Vals AI)Not measured76.7%Only o3 measured
IFBench38.3%71.4%o3
Long context reasoning (AA-LCR)44.0%74.7%o3
DTBench68.8%84.8%o3
LMCA21.1%39.7%o3
Fiction.LiveBench44.4%88.9%o3
Creative writing (Lech Mazur)Not measured83.9%Only o3 measured
CL-benchNot measured17.8%Only o3 measured
LMArena Text13411410o3
LMArena Text: instruction following13331368o3
LMArena Text: creative writing12991359o3
LMArena Vision11811214o3
LMArena Text: English13561417o3
LMArena Text: non-English13181401o3
LMArena Text: Chinese13291437o3
LMArena Text: German13501420o3
LMArena Text: Japanese12901403o3
LMArena Text: Korean12981370o3
LMArena Text: French13581430o3
LMArena Text: Spanish13191395o3
LMArena Text: Russian13241406o3
LMArena Text: Polish13261438o3
LMArena Text: multi-turn13541405o3
LMArena Text: longer queries13441372o3
LMArena Text: writing and language13191372o3
LMArena Text: entertainment and media13001373o3
LMArena Vision: English11911221o3
LMArena Vision: Chinese11861237o3
LMArena Vision: reading text11881218o3
LMArena Vision: humor11821222o3
LMArena Vision: captioning11741210o3
LMArena Vision: recognizing things11871234o3
LMArena Vision: creative writing11821201o3
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-4.1 Mini and o3
BenchmarkGPT-4.1 Minio3Leader
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 Mini$0.0012Fits in one request
o3$0.0060Fits in one request

GPT-4.1 Mini costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
o3$0.124Fits in one request

GPT-4.1 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
o3$0.480Exceeds the context window

GPT-4.1 Mini 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 Mini and o3
SpecificationOpenAI GPT-4.1 MiniOpenAI o3
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025April 16, 2025
Context window1.05M200K
Input $/Mtok$0.40$2.00
Output $/Mtok$1.60$8.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$1.818$0.571
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than o3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for output tokens 5.0x cheaper ($1.60 vs $8.00 per million) and a larger context window (1.05M against 200K tokens).

Which is cheaper, GPT-4.1 Mini or o3?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; o3 costs $2.00 and $8.00. Per solved SWE-bench Verified task, GPT-4.1 Mini costs $1.818 and o3 $0.571.

Which has the bigger context window, GPT-4.1 Mini or o3?

GPT-4.1 Mini, with 1.05M tokens against 200K.

How many benchmarks is the GPT-4.1 Mini vs o3 comparison based on?

84 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Mini's coding index rests on 0 independent benchmarks and o3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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