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Claude Sonnet 4.6 vs GPT-4o

Updated October 21, 2026. 16 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Sonnet 4.6Anthropic
Coding
57.8
Overall
30.1
Output $/M
$15.00
16
GPT-4oOpenAI
Coding
38.8
Overall
No data
Output $/M
$10.00
0
vs boards won of 16 shared

Decision reading

Pick Claude Sonnet 4.6 for coding: it scores 57.8 on the Vibe Coding Index against 38.8 for GPT-4o.

Pick GPT-4o when output tokens cost 1.5x less.

Shared results
16
Claude Sonnet 4.6 only
101
GPT-4o only
10
Like-for-like categories
5 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
Claude Sonnet 4.6 57.8 from 2 benchmarks, GPT-4o 38.8 from 1 benchmark.
Widest category
Agentic work, 54.4 points apart on average over 1 shared benchmark.
Widest single gap
ARC-AGI: Claude Sonnet 4.6 86.5% against GPT-4o 4.5%, 82.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against GPT-4o $10.00 per million output tokens, 1.5x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, GPT-4o 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
CategoryClaude Sonnet 4.6BarsGPT-4oTies
Coding10
Agentic work10
Reasoning40
Web design60
General40
All shared boards160
CodingLike-for-likeFour of these boards feed the Vibe Coding Index10
Coding benchmarks for Claude Sonnet 4.6 and GPT-4o
BenchmarkClaude Sonnet 4.6GPT-4oLeader
SWE-bench VerifiedNot measured38.8%Only GPT-4o measured
SWE-bench LiteNot measured38.0%Only GPT-4o measured
SWE-bench (full test set)Not measured18.8%Only GPT-4o measured
SWE-bench MultimodalNot measured30.4%Only GPT-4o 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%Not measuredOnly Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
Vibe Code Bench (Vals AI)55.8%Not measuredOnly Claude Sonnet 4.6 measured
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 measured30.9%Only GPT-4o measured
SciCode50.1%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)53.0%8.3%Claude Sonnet 4.6
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: coding1503Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: software and IT1491Not measuredOnly Claude Sonnet 4.6 measured
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 13 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Sonnet 4.6 and GPT-4o
BenchmarkClaude Sonnet 4.6GPT-4oLeader
AA Intelligence Index30.1Not measuredOnly Claude Sonnet 4.6 measured
Epoch Capabilities Index152.8Not measuredOnly Claude Sonnet 4.6 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Sonnet 4.6 and GPT-4o
BenchmarkClaude Sonnet 4.6GPT-4oLeader
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 apps1202Not 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%25.1%Claude Sonnet 4.6
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
GDPvalNot measured9.9%Only GPT-4o 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$7,204Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Sonnet 4.6 and GPT-4o
BenchmarkClaude Sonnet 4.6GPT-4oLeader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%54.3%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%2.4%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI86.5%4.5%Claude Sonnet 4.6
ARC-AGI-260.4%0.0%Claude Sonnet 4.6
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts1485Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: expert1500Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts in English1493Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: diagrams1306Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Claude Sonnet 4.6 and GPT-4o
BenchmarkClaude Sonnet 4.6GPT-4oLeader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
AA Math IndexNot measured6.0Only GPT-4o measured
AIME 2025 (Artificial Analysis run)Not measured6.0%Only GPT-4o measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math1462Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: mathematical work1483Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Knowledge benchmarks for Claude Sonnet 4.6 and GPT-4o
BenchmarkClaude Sonnet 4.6GPT-4oLeader
MMLU Pro87.3%Not measuredOnly Claude Sonnet 4.6 measured
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%Not measuredOnly Claude Sonnet 4.6 measured
TaxEval (Vals AI)77.1%Not measuredOnly Claude Sonnet 4.6 measured
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
MMLU Pro (Artificial Analysis run)Not measured74.8%Only GPT-4o measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
MMLUNot measured88.1%Only GPT-4o measured
LMArena Text: science1474Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: medicine and healthcare1451Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: legal and government1470Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: business and finance1464Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Sonnet 4.6 and GPT-4o
BenchmarkClaude Sonnet 4.6GPT-4oLeader
Design Arena: websites1285831Claude Sonnet 4.6
Design Arena: UI components1271885Claude Sonnet 4.6
Design Arena: game dev1259906Claude Sonnet 4.6
Design Arena: data viz1278858Claude Sonnet 4.6
Design Arena: 3D1234869Claude Sonnet 4.6
Design Arena: all code categories1276861Claude Sonnet 4.6
Design Arena: SVG1196Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: ASCII art1235Not measuredOnly Claude Sonnet 4.6 measured
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
General benchmarks for Claude Sonnet 4.6 and GPT-4o
BenchmarkClaude Sonnet 4.6GPT-4oLeader
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%Not measuredOnly Claude Sonnet 4.6 measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%34.3%Claude Sonnet 4.6
Long context reasoning (AA-LCR)80.0%49.3%Claude Sonnet 4.6
DTBench89.9%64.5%Claude Sonnet 4.6
LMCA46.5%16.6%Claude Sonnet 4.6
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text1458Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: instruction following1476Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: creative writing1435Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision1283Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: English1472Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: non-English1440Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Chinese1491Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: German1428Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Japanese1420Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Korean1410Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: French1465Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Spanish1464Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Russian1440Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Polish1443Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: multi-turn1464Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: longer queries1479Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: writing and language1444Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: entertainment and media1431Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: English1298Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: Chinese1307Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: reading text1296Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: humor1248Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing1272Not measuredOnly Claude Sonnet 4.6 measured
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
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 Claude Sonnet 4.6 and GPT-4o
BenchmarkClaude Sonnet 4.6GPT-4oLeader
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-4o$0.0075Fits in one request

GPT-4o costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
GPT-4o$0.155Fits in one request

GPT-4o costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
GPT-4o$0.600Exceeds the context window

GPT-4o 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-4o
SpecificationAnthropic Claude Sonnet 4.6OpenAI GPT-4o
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026May 13, 2024
Context window1M128K
Input $/Mtok$3.00$2.50
Output $/Mtok$15.00$10.00
Coding index57.838.8
Independent measurements behind it21
Cost per solved task$1.68Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than GPT-4o for coding?

Pick Claude Sonnet 4.6 for coding: it scores 57.8 on the Vibe Coding Index against 38.8 for GPT-4o. Pick GPT-4o when output tokens cost 1.5x less.

Which is cheaper, Claude Sonnet 4.6 or GPT-4o?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; GPT-4o costs $2.50 and $10.00. Cost per solved task is known for Claude Sonnet 4.6 only.

Which has the bigger context window, Claude Sonnet 4.6 or GPT-4o?

Claude Sonnet 4.6, with 1M tokens against 128K.

How many benchmarks is the Claude Sonnet 4.6 vs GPT-4o comparison based on?

16 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.6's coding index rests on 2 independent benchmarks and GPT-4o's on 1. Where only one model has a result, the page says so instead of naming a winner.

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