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Claude Sonnet 4.6 vs GPT-5 Mini

Claude Sonnet 4.6 leads GPT-5 Mini on coding, 57.3 to 34.2 on the Vibe Coding Index, and GPT-5 Mini costs 7.5x less per output token ($2.00 vs $15.00 per million). Updated October 21, 2026; 82 benchmarks have a result for both.

Replace Claude Sonnet 4.6 Replace GPT-5 Mini
Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
74
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
8
vs boards won of 82 shared

Claude Sonnet 4.6 or GPT-5 Mini: which to pick

Pick Claude Sonnet 4.6 for coding: it scores 57.3 on the Vibe Coding Index against 34.2 for GPT-5 Mini.

Pick GPT-5 Mini for output tokens 7.5x cheaper ($2.00 vs $15.00 per million) and a lower cost per solved task ($0.08 against $1.68).

Model AClaude Sonnet 4.6Anthropic57.3/1005 independent benchmarks$1.68 per solved taskModel BGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved task
Shared results
82
Claude Sonnet 4.6 only
36
GPT-5 Mini only
19
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
Claude Sonnet 4.6 57.3 from 5 benchmarks, GPT-5 Mini 34.2 from 2 benchmarks.
Widest category
Agentic work, 26.8 points apart on average over 2 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Sonnet 4.6 60.4% against GPT-5 Mini 4.4%, 56.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against GPT-5 Mini $2.00 per million output tokens, 7.5x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, GPT-5 Mini 400K.

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
CategoryClaude Sonnet 4.6BarsGPT-5 MiniTies
Coding81
Intelligence20
Agentic work20
Reasoning131
Math41
Knowledge103
Web design80
General272
All shared boards748
CodingLike-for-likeSix of these boards feed the Vibe Coding Index81
Coding benchmarks for Claude Sonnet 4.6 and GPT-5 Mini
BenchmarkClaude Sonnet 4.6GPT-5 MiniLeader
SWE-bench VerifiedNot measured59.8%Only GPT-5 Mini measured
SWE-bench MultilingualNot measured39.7%Only GPT-5 Mini measured
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev1523Not measuredOnly Claude Sonnet 4.6 measured
AA Coding Index63.0Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Vals AI)82.1%86.6%GPT-5 Mini
SWE-bench Verified (Vals AI)77.4%60.8%Claude Sonnet 4.6
Vibe Code Bench (Vals AI)55.8%14.2%Claude Sonnet 4.6
Code migration (Vals AI)39.9%Not measuredOnly Claude Sonnet 4.6 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)57.3%Not measuredOnly Claude Sonnet 4.6 measured
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured83.8%Only GPT-5 Mini measured
SciCode50.1%39.0%Claude Sonnet 4.6
Terminal-Bench Hard (Artificial Analysis run)53.0%33.3%Claude Sonnet 4.6
Terminal-Bench53.4%34.8%Claude Sonnet 4.6
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%52.7%Claude Sonnet 4.6
LMArena Text: coding15031406Claude Sonnet 4.6
LMArena Text: software and IT14911394Claude Sonnet 4.6
LMArena WebDev: React1512Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: HTML1527Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 4.6 and GPT-5 Mini
BenchmarkClaude Sonnet 4.6GPT-5 MiniLeader
AA Intelligence Index30.120.6Claude Sonnet 4.6
Epoch Capabilities Index152.8145.3Claude Sonnet 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Sonnet 4.6 and GPT-5 Mini
BenchmarkClaude Sonnet 4.6GPT-5 MiniLeader
AA Agentic Index31.8Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building web apps1190Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building full-stack apps1213Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building mobile apps1212Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Android apps1196Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games1226Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench browser68.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench long agentic23.1%Not measuredOnly Claude Sonnet 4.6 measured
Finance Agent (Vals AI)51.0%Not measuredOnly Claude Sonnet 4.6 measured
Tax Agent Bench (Vals AI)25.8%Not measuredOnly Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Sonnet 4.6 measured
Excel Modeling Benchmark (Vals AI)60.2%Not measuredOnly Claude Sonnet 4.6 measured
τ²-Bench Telecom79.5%71.1%Claude Sonnet 4.6
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204-$31Claude Sonnet 4.6
Berkeley Function Calling Leaderboard (BFCL)Not measured55.5%Only GPT-5 Mini measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index131
Reasoning benchmarks for Claude Sonnet 4.6 and GPT-5 Mini
BenchmarkClaude Sonnet 4.6GPT-5 MiniLeader
GPQA Diamond85.6%80.3%Claude Sonnet 4.6
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%78.9%Claude Sonnet 4.6
GPQA Diamond (Artificial Analysis run)87.5%82.8%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%21.5%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%75.0%Claude Sonnet 4.6
ARC-AGI86.5%54.3%Claude Sonnet 4.6
ARC-AGI-260.4%4.4%Claude Sonnet 4.6
Chess puzzles23.0%24.0%GPT-5 Mini
Mystery game puzzles16.0%10.0%Claude Sonnet 4.6
VPCTNot measured40.2%Only GPT-5 Mini measured
LMArena Text: hard prompts14851380Claude Sonnet 4.6
LMArena Text: expert15001379Claude Sonnet 4.6
LMArena Text: hard prompts in English14931383Claude Sonnet 4.6
LMArena Vision: diagrams13061202Claude Sonnet 4.6
LMArena Vision: homework13111210Claude Sonnet 4.6
Kagi LLM BenchmarkNot measured70.3%Only GPT-5 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index41
Math benchmarks for Claude Sonnet 4.6 and GPT-5 Mini
BenchmarkClaude Sonnet 4.6GPT-5 MiniLeader
AIME92.3%91.5%Claude Sonnet 4.6
MATH 500 (Vals AI)Not measured94.8%Only GPT-5 Mini measured
MGSM (Vals AI)Not measured92.6%Only GPT-5 Mini measured
AA Math IndexNot measured90.7Only GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only GPT-5 Mini measured
OTIS Mock AIME85.8%86.7%GPT-5 Mini
FrontierMath, tiers 1 to 3Not measured46.7%Only GPT-5 Mini measured
FrontierMath, tier 4Not measured12.2%Only GPT-5 Mini measured
ProofBench45.0%9.0%Claude Sonnet 4.6
MATH level 5Not measured97.8%Only GPT-5 Mini measured
LMArena Text: math14621378Claude Sonnet 4.6
LMArena Text: mathematical work14831380Claude Sonnet 4.6
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index103
Knowledge benchmarks for Claude Sonnet 4.6 and GPT-5 Mini
BenchmarkClaude Sonnet 4.6GPT-5 MiniLeader
MMLU Pro87.3%82.2%Claude Sonnet 4.6
LegalBench (Vals AI)82.1%81.8%Claude Sonnet 4.6
CaseLaw (Vals AI)64.0%68.5%GPT-5 Mini
CorpFin (Vals AI)65.3%60.2%Claude Sonnet 4.6
TaxEval (Vals AI)77.1%75.2%Claude Sonnet 4.6
MortgageTax (Vals AI)67.7%66.9%Claude Sonnet 4.6
MedQA (Vals AI)92.1%96.1%GPT-5 Mini
MedCode (Vals AI)Not measured43.0%Only GPT-5 Mini measured
MMLU Pro (Artificial Analysis run)Not measured83.7%Only GPT-5 Mini measured
SimpleQA Verified35.5%21.6%Claude Sonnet 4.6
LMArena Text: science14741371Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511380Claude Sonnet 4.6
LMArena Text: legal and government14701375Claude Sonnet 4.6
LMArena Text: business and finance14641358Claude Sonnet 4.6
FACTS Benchmark Suite37.0%38.6%GPT-5 Mini
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Sonnet 4.6 and GPT-5 Mini
BenchmarkClaude Sonnet 4.6GPT-5 MiniLeader
Design Arena: websites12851125Claude Sonnet 4.6
Design Arena: UI components12721106Claude Sonnet 4.6
Design Arena: game dev12591130Claude Sonnet 4.6
Design Arena: data viz12771130Claude Sonnet 4.6
Design Arena: 3D12341037Claude Sonnet 4.6
Design Arena: all code categories12761115Claude Sonnet 4.6
Design Arena: SVG11971091Claude Sonnet 4.6
Design Arena: ASCII art12351125Claude Sonnet 4.6
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index272
General benchmarks for Claude Sonnet 4.6 and GPT-5 Mini
BenchmarkClaude Sonnet 4.6GPT-5 MiniLeader
LiveBench data analysis76.1%Not measuredOnly Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%43.0%Claude Sonnet 4.6
MedScribe (Vals AI)Not measured80.6%Only GPT-5 Mini measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%75.4%GPT-5 Mini
Long context reasoning (AA-LCR)80.0%72.3%Claude Sonnet 4.6
DTBench89.9%80.5%Claude Sonnet 4.6
LMCA46.5%34.2%Claude Sonnet 4.6
Fiction.LiveBenchNot measured69.4%Only GPT-5 Mini measured
Creative writing (Lech Mazur)Not measured83.1%Only GPT-5 Mini measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581373Claude Sonnet 4.6
LMArena Text: instruction following14761357Claude Sonnet 4.6
LMArena Text: creative writing14351325Claude Sonnet 4.6
LMArena Vision12831202Claude Sonnet 4.6
LMArena Text: English14721379Claude Sonnet 4.6
LMArena Text: non-English14401363Claude Sonnet 4.6
LMArena Text: Chinese14911386Claude Sonnet 4.6
LMArena Text: German14281366Claude Sonnet 4.6
LMArena Text: Japanese14201341Claude Sonnet 4.6
LMArena Text: Korean14101308Claude Sonnet 4.6
LMArena Text: French14651386Claude Sonnet 4.6
LMArena Text: Spanish14641354Claude Sonnet 4.6
LMArena Text: Russian14401362Claude Sonnet 4.6
LMArena Text: Polish14431378Claude Sonnet 4.6
LMArena Text: multi-turn14641363Claude Sonnet 4.6
LMArena Text: longer queries14791355Claude Sonnet 4.6
LMArena Text: writing and language14441344Claude Sonnet 4.6
LMArena Text: entertainment and media14311340Claude Sonnet 4.6
LMArena Vision: English12981216Claude Sonnet 4.6
LMArena Vision: Chinese13071214Claude Sonnet 4.6
LMArena Vision: reading text12961199Claude Sonnet 4.6
LMArena Vision: humor12481205Claude Sonnet 4.6
LMArena Vision: captioningNot measured1217Only GPT-5 Mini measured
LMArena Vision: recognizing things11951226GPT-5 Mini
LMArena Vision: creative writing12721181Claude Sonnet 4.6
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 8 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.6 and GPT-5 Mini
BenchmarkClaude Sonnet 4.6GPT-5 MiniLeader
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

Claude Sonnet 4.6$0.011Fits in one request
GPT-5 Mini$0.0013Fits in one request

GPT-5 Mini costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
GPT-5 Mini$0.018Fits in one request

GPT-5 Mini costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
GPT-5 Mini$0.070Fits in one request

GPT-5 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 Claude Sonnet 4.6 and GPT-5 Mini
SpecificationAnthropic Claude Sonnet 4.6OpenAI GPT-5 Mini
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026August 7, 2025
Context window1M400K
Input $/Mtok$3.00$0.25
Output $/Mtok$15.00$2.00
Coding index57.334.2
Independent measurements behind it52
Cost per solved task$1.68$0.08
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than GPT-5 Mini for coding?

Pick Claude Sonnet 4.6 for coding: it scores 57.3 on the Vibe Coding Index against 34.2 for GPT-5 Mini. Pick GPT-5 Mini for output tokens 7.5x cheaper ($2.00 vs $15.00 per million) and a lower cost per solved task ($0.08 against $1.68).

Which is cheaper, Claude Sonnet 4.6 or GPT-5 Mini?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; GPT-5 Mini costs $0.25 and $2.00. Per solved SWE-bench Verified task, Claude Sonnet 4.6 costs $1.68 and GPT-5 Mini $0.08.

Which has the bigger context window, Claude Sonnet 4.6 or GPT-5 Mini?

Claude Sonnet 4.6, with 1M tokens against 400K.

How many benchmarks is the Claude Sonnet 4.6 vs GPT-5 Mini comparison based on?

82 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.6's coding index rests on 5 independent benchmarks and GPT-5 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.

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