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GPT-4.1 Mini vs Mercury 2

Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4.1 Mini Replace Mercury 2
GPT-4.1 MiniOpenAI
Coding
28.5
Overall
10.2
Output $/M
$1.60
8
Mercury 2Inception
Coding
0.0
Overall
10.8
Output $/M
$0.75
26
vs boards won of 34 shared

Decision reading

Pick GPT-4.1 Mini for coding: it scores 28.5 on the Vibe Coding Index against 0.0 for Mercury 2.

Pick Mercury 2 when output tokens cost 2.1x less, or when what matters is AA Coding Index or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AGPT-4.1 MiniOpenAI28.5/1002 independent benchmarks$1.818 per solved taskModel BMercury 2Inception0.0/1001 independent benchmarkNo cost per solved task
Shared results
34
GPT-4.1 Mini only
50
Mercury 2 only
8
Like-for-like categories
7 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 Mini 28.5 from 2 benchmarks, Mercury 2 0.0 from 1 benchmark.
Widest category
Agentic work, 17.8 points apart on average over 1 shared benchmark.
Widest single gap
IFBench: GPT-4.1 Mini 38.3% against Mercury 2 69.8%, 31.5 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Mercury 2 $0.75 per million output tokens, 2.1x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, Mercury 2 128K.

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 MiniBarsMercury 2Ties
Coding05
Intelligence01
Agentic work01
Reasoning05
Knowledge03
Web design24
General67
All shared boards826
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for GPT-4.1 Mini and Mercury 2
BenchmarkGPT-4.1 MiniMercury 2Leader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
LMArena WebDevNot measured1171Only Mercury 2 measured
AA Coding Index20.231.1Mercury 2
LiveCodeBench (Vals AI)58.2%Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Artificial Analysis run)48.3%Not measuredOnly GPT-4.1 Mini measured
SciCodeNot measured37.7%Only Mercury 2 measured
Terminal-Bench Hard (Artificial Analysis run)7.6%26.5%Mercury 2
WeirdML37.6%43.2%Mercury 2
ALE-BenchNot measured785.6Only Mercury 2 measured
LMArena Text: coding13671390Mercury 2
LMArena Text: software and IT13601385Mercury 2
LMArena WebDev: ReactNot measured1160Only Mercury 2 measured
LMArena WebDev: HTMLNot measured1199Only Mercury 2 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4.1 Mini and Mercury 2
BenchmarkGPT-4.1 MiniMercury 2Leader
AA Intelligence Index10.210.8Mercury 2
Epoch Capabilities Index134.9Not measuredOnly GPT-4.1 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Mini and Mercury 2
BenchmarkGPT-4.1 MiniMercury 2Leader
AA Agentic IndexNot measured1.6Only Mercury 2 measured
τ²-Bench Telecom52.9%70.8%Mercury 2
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4.1 Mini and Mercury 2
BenchmarkGPT-4.1 MiniMercury 2Leader
GPQA Diamond67.9%Not measuredOnly GPT-4.1 Mini measured
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%77.0%Mercury 2
Humanity's Last Exam (Artificial Analysis run)5.0%17.1%Mercury 2
GPQA Diamond (Epoch AI run)65.8%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI3.5%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Mini measured
Chess puzzles1.0%Not measuredOnly GPT-4.1 Mini measured
Mystery game puzzles7.0%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: hard prompts13491362Mercury 2
LMArena Text: expert13381358Mercury 2
LMArena Text: hard prompts in English13621374Mercury 2
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Math benchmarks for GPT-4.1 Mini and Mercury 2
BenchmarkGPT-4.1 MiniMercury 2Leader
AIME49.4%Not measuredOnly GPT-4.1 Mini measured
MATH 500 (Vals AI)88.0%Not measuredOnly GPT-4.1 Mini measured
MGSM (Vals AI)87.8%Not measuredOnly GPT-4.1 Mini measured
AA Math Index46.3Not measuredOnly GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)46.3%Not measuredOnly GPT-4.1 Mini measured
OTIS Mock AIME44.7%Not measuredOnly GPT-4.1 Mini measured
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math1343Not measuredOnly GPT-4.1 Mini measured
LMArena Text: mathematical work1347Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index03
Knowledge benchmarks for GPT-4.1 Mini and Mercury 2
BenchmarkGPT-4.1 MiniMercury 2Leader
MMLU Pro77.2%Not measuredOnly GPT-4.1 Mini measured
LegalBench (Vals AI)78.0%Not measuredOnly GPT-4.1 Mini measured
CorpFin (Vals AI)57.9%Not measuredOnly GPT-4.1 Mini measured
TaxEval (Vals AI)71.9%Not measuredOnly GPT-4.1 Mini measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)78.1%Not measuredOnly GPT-4.1 Mini measured
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science13281343Mercury 2
LMArena Text: medicine and healthcare13241363Mercury 2
LMArena Text: legal and government1343Not measuredOnly GPT-4.1 Mini measured
LMArena Text: business and finance13221349Mercury 2
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index24
Web design benchmarks for GPT-4.1 Mini and Mercury 2
BenchmarkGPT-4.1 MiniMercury 2Leader
Design Arena: websites9971036Mercury 2
Design Arena: UI components961998Mercury 2
Design Arena: game dev1071985GPT-4.1 Mini
Design Arena: data viz10341009GPT-4.1 Mini
Design Arena: 3D837982Mercury 2
Design Arena: all code categories9941022Mercury 2
Design Arena: SVGNot measured998Only Mercury 2 measured
Design Arena: ASCII artNot measured990Only Mercury 2 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index67
General benchmarks for GPT-4.1 Mini and Mercury 2
BenchmarkGPT-4.1 MiniMercury 2Leader
IFBench38.3%69.8%Mercury 2
Long context reasoning (AA-LCR)44.0%43.7%GPT-4.1 Mini
DTBench68.8%Not measuredOnly GPT-4.1 Mini measured
LMCA21.1%Not measuredOnly GPT-4.1 Mini measured
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
LMArena Text13411354Mercury 2
LMArena Text: instruction following13331328GPT-4.1 Mini
LMArena Text: creative writing12991286GPT-4.1 Mini
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English13561378Mercury 2
LMArena Text: non-English13181330Mercury 2
LMArena Text: Chinese13291414Mercury 2
LMArena Text: German1350Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Japanese1290Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Korean1298Not measuredOnly GPT-4.1 Mini measured
LMArena Text: French1358Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Spanish1319Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Russian13241304GPT-4.1 Mini
LMArena Text: Polish1326Not measuredOnly GPT-4.1 Mini measured
LMArena Text: multi-turn13541357Mercury 2
LMArena Text: longer queries13441329GPT-4.1 Mini
LMArena Text: writing and language13191300GPT-4.1 Mini
LMArena Text: entertainment and media13001314Mercury 2
LMArena Vision: English1191Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: Chinese1186Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: reading text1188Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: humor1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing1182Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 16 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 Mercury 2
BenchmarkGPT-4.1 MiniMercury 2Leader
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
Mercury 2$0.0006Fits in one request

Mercury 2 costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Mercury 2$0.015Fits in one request

Mercury 2 costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
Mercury 2$0.058Exceeds the context window

Mercury 2 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 Mercury 2
SpecificationOpenAI GPT-4.1 MiniInception Mercury 2
MakerOpenAIInception
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025March 4, 2026
Context window1.05M128K
Input $/Mtok$0.40$0.25
Output $/Mtok$1.60$0.75
Coding index28.50.0
Independent measurements behind it21
Cost per solved task$1.818Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Mercury 2 for coding?

Pick GPT-4.1 Mini for coding: it scores 28.5 on the Vibe Coding Index against 0.0 for Mercury 2. Pick Mercury 2 when output tokens cost 2.1x less, or when what matters is AA Coding Index or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, GPT-4.1 Mini or Mercury 2?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Mercury 2 costs $0.25 and $0.75. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, GPT-4.1 Mini or Mercury 2?

GPT-4.1 Mini, with 1.05M tokens against 128K.

How many benchmarks is the GPT-4.1 Mini vs Mercury 2 comparison based on?

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

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