Claude Opus 4.6 vs GPT-5.5

GPT-5.5 leads Claude Opus 4.6 on coding, 71.3 to 57.2 on the Vibe Coding Index, and Claude Opus 4.6 costs 1.2x less per output token ($25.00 vs $30.00 per million). Updated October 22, 2026; 103 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace GPT-5.5

Claude Opus 4.6Anthropic

Coding: 57.2
Overall: 66.0
Output $/M: $25.00

GPT-5.5OpenAI

Coding: 71.3
Overall: 69.2
Output $/M: $30.00

vs boards won of 103 shared, 2 tied

Claude Opus 4.6 or GPT-5.5: which to pick

Pick GPT-5.5 for coding: it scores 71.3 on the Vibe Coding Index against 57.2 for Claude Opus 4.6.

Pick Claude Opus 4.6 for output tokens 1.2x cheaper ($25.00 vs $30.00 per million) and a lower cost per solved task ($1.56 against $1.65).

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved task Model BGPT-5.5OpenAI71.3/1005 independent benchmarks$1.65 per solved task

103731

Shared results: 103
Claude Opus 4.6 only: 7
GPT-5.5 only: 31
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.

Coding
Vibe Coding Index, six public coding benchmarks
GPT-5.5
GPT-5.5 scores 71.3 against 57.2.
4 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.5
GPT-5.5 leads, 38.4 against 31.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.5 has a AA Agentic Index result, 36.4.
Directional only
Reasoning
GPQA Diamond
GPT-5.5
GPT-5.5 leads, 93.2% against 89.7%.
Same board, both measured
Math
AIME
No call
Only Claude Opus 4.6 has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
Claude Opus 4.6
Claude Opus 4.6 leads, 89.1% against 88.1%.
Same board, both measured
Web design
Design Arena: websites
Claude Opus 4.6
Claude Opus 4.6 leads, 1291 against 1256.
Same board, both measured
Long documents
Listed context window
GPT-5.5
GPT-5.5 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Claude Opus 4.6
Claude Opus 4.6 $0.018, GPT-5.5 $0.020 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Claude Opus 4.6
Claude Opus 4.6 $1.56, GPT-5.5 $1.65.
Published attempt cost and pass rate

At a glance

Coding index: Claude Opus 4.6 57.2 from 4 benchmarks, GPT-5.5 71.3 from 5 benchmarks.
Widest category: Math, 14.2 points apart on average over 6 shared benchmarks.
Widest single gap: FrontierMath, tier 4: Claude Opus 4.6 26.8% against GPT-5.5 72.5%, 45.7 points apart on a 0 to 100 scale.
Output price: Claude Opus 4.6 $25.00 against GPT-5.5 $30.00 per million output tokens, 1.2x apart.
Context window: Claude Opus 4.6 takes 1M tokens, GPT-5.5 1.05M.

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
Category	Claude Opus 4.6	GPT-5.5	Ties
Coding	7	7
Intelligence	0	2
Agentic work	7	3
Reasoning	5	12
Math	3	2	1 tie
Knowledge	7	6
Web design	5	2	1 tie
General	26	7
All shared boards	60	41	2 ties

CodingLike-for-likeSix of these boards feed the Vibe Coding Index77

Coding benchmarks for Claude Opus 4.6 and GPT-5.5
Benchmark	Claude Opus 4.6	GPT-5.5	Leader
SWE-bench Verified	75.6%	Not measured	Only Claude Opus 4.6 measured
SWE-bench Multilingual	72.0%	Not measured	Only Claude Opus 4.6 measured
LiveBench coding	Not measured	85.1%	Only GPT-5.5 measured
LMArena WebDev	1547	1513	Claude Opus 4.6
AA Coding Index	Not measured	74.9	Only GPT-5.5 measured
LiveCodeBench (Vals AI)	84.7%	85.3%	GPT-5.5
SWE-bench Verified (Vals AI)	78.2%	82.6%	GPT-5.5
Vibe Code Bench (Vals AI)	57.6%	69.8%	GPT-5.5
Code migration (Vals AI)	Not measured	45.2%	Only GPT-5.5 measured
ProgramBench (Vals AI)	Not measured	0.5%	Only GPT-5.5 measured
Terminal-Bench 2.1 (Vals AI)	Not measured	76.4%	Only GPT-5.5 measured
SkillsBench (Vals AI)	Not measured	62.5%	Only GPT-5.5 measured
SciCode	Not measured	56.1%	Only GPT-5.5 measured
Terminal-Bench Hard (Artificial Analysis run)	48.5%	60.6%	GPT-5.5
Terminal-Bench	79.8%	84.7%	GPT-5.5
FrontierCode	26.6%	43.0%	GPT-5.5
GSO-Bench	41.2%	40.2%	Claude Opus 4.6
WeirdML	78.0%	84.9%	GPT-5.5
MirrorCode	Not measured	10.0%	Only GPT-5.5 measured
Cybench	93.0%	Not measured	Only Claude Opus 4.6 measured
ALE-Bench	Not measured	1943.0	Only GPT-5.5 measured
LMArena Text: coding	1534	1494	Claude Opus 4.6
LMArena Text: software and IT	1527	1493	Claude Opus 4.6
LMArena WebDev: React	1539	1506	Claude Opus 4.6
LMArena WebDev: HTML	1559	1543	Claude Opus 4.6
LMArena WebDev: from an image	1543	1532	Claude Opus 4.6
Neither model has a result on the other 13 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02

Intelligence benchmarks for Claude Opus 4.6 and GPT-5.5
Benchmark	Claude Opus 4.6	GPT-5.5	Leader
AA Intelligence Index	31.9	38.4	GPT-5.5
Epoch Capabilities Index	155.7	159.7	GPT-5.5

Agentic workLike-for-likePublic boards, shown as published, kept out of the index73

Agentic work benchmarks for Claude Opus 4.6 and GPT-5.5
Benchmark	Claude Opus 4.6	GPT-5.5	Leader
AA Agentic Index	Not measured	36.4	Only GPT-5.5 measured
Design Arena: agents building web apps	1206	1117	Claude Opus 4.6
Design Arena: agents building full-stack apps	1220	1089	Claude Opus 4.6
Design Arena: agents building mobile apps	1207	1142	Claude Opus 4.6
Design Arena: agents building Android apps	1197	1164	Claude Opus 4.6
Design Arena: agents building Godot games	Not measured	1173	Only GPT-5.5 measured
Design Arena: agents building games	1212	1179	Claude Opus 4.6
Design Arena: HTML slides	Not measured	1017	Only GPT-5.5 measured
Design Arena: PowerPoint slides	Not measured	1084	Only GPT-5.5 measured
LiveBench research	Not measured	61.6%	Only GPT-5.5 measured
LiveBench browser	Not measured	48.0%	Only GPT-5.5 measured
LiveBench long agentic	Not measured	44.6%	Only GPT-5.5 measured
SREBench (Vals AI)	Not measured	3.8%	Only GPT-5.5 measured
Finance Agent (Vals AI)	Not measured	51.8%	Only GPT-5.5 measured
Tax Agent Bench (Vals AI)	Not measured	21.8%	Only GPT-5.5 measured
Legal Research Bench (Vals AI)	Not measured	40.4%	Only GPT-5.5 measured
Excel Modeling Benchmark (Vals AI)	Not measured	64.5%	Only GPT-5.5 measured
Time Horizon Index (Vals AI)	Not measured	8.3%	Only GPT-5.5 measured
τ²-Bench Telecom	92.1%	93.9%	GPT-5.5
APEX-Agents	46.3%	55.1%	GPT-5.5
METR time horizons	78.9%	Not measured	Only Claude Opus 4.6 measured
Remote Labor Index	4.2%	6.3%	GPT-5.5
OSWorld 2.0	Not measured	13.0%	Only GPT-5.5 measured
DeepResearch Bench	55.3%	54.0%	Claude Opus 4.6
PostTrainBench	Not measured	27.2%	Only GPT-5.5 measured
Vending-Bench 2	$8,018	$7,524	Claude Opus 4.6
Neither model has a result on the other 15 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index512

Reasoning benchmarks for Claude Opus 4.6 and GPT-5.5
Benchmark	Claude Opus 4.6	GPT-5.5	Leader
GPQA Diamond	89.7%	93.2%	GPT-5.5
LiveBench reasoning	Not measured	89.7%	Only GPT-5.5 measured
MMMU Pro (Vals AI)	83.9%	88.3%	GPT-5.5
GPQA Diamond (Artificial Analysis run)	89.6%	93.5%	GPT-5.5
Humanity's Last Exam (Artificial Analysis run)	39.9%	45.8%	GPT-5.5
GPQA Diamond (Epoch AI run)	90.5%	90.7%	GPT-5.5
ARC-AGI	94.0%	95.0%	GPT-5.5
ARC-AGI-2	69.2%	85.0%	GPT-5.5
SimpleBench	67.6%	69.0%	GPT-5.5
Chess puzzles	21.0%	63.0%	GPT-5.5
Mystery game puzzles	25.0%	56.0%	GPT-5.5
EBR-bench	12.7%	34.3%	GPT-5.5
LMArena Text: hard prompts	1525	1489	Claude Opus 4.6
LMArena Text: expert	1544	1507	Claude Opus 4.6
LMArena Text: hard prompts in English	1530	1483	Claude Opus 4.6
LMArena Vision: diagrams	1340	1325	Claude Opus 4.6
LMArena Vision: homework	1337	1332	Claude Opus 4.6
Kagi LLM Benchmark	83.6%	88.8%	GPT-5.5
Neither model has a result on the other 4 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index32

Math benchmarks for Claude Opus 4.6 and GPT-5.5
Benchmark	Claude Opus 4.6	GPT-5.5	Leader
AIME	95.6%	Not measured	Only Claude Opus 4.6 measured
OTIS Mock AIME	94.4%	84.4%	Claude Opus 4.6
FrontierMath, tiers 1 to 3	66.0%	85.3%	GPT-5.5
FrontierMath, tier 4	26.8%	72.5%	GPT-5.5
ProofBench	50.0%	50.0%	Tie
LMArena Text: math	1518	1487	Claude Opus 4.6
LMArena Text: mathematical work	1525	1496	Claude Opus 4.6
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index76

Knowledge benchmarks for Claude Opus 4.6 and GPT-5.5
Benchmark	Claude Opus 4.6	GPT-5.5	Leader
MMLU Pro	89.1%	88.1%	Claude Opus 4.6
LegalBench (Vals AI)	85.3%	86.5%	GPT-5.5
CaseLaw (Vals AI)	62.1%	66.2%	GPT-5.5
CorpFin (Vals AI)	67.0%	68.4%	GPT-5.5
TaxEval (Vals AI)	76.0%	75.0%	Claude Opus 4.6
MortgageTax (Vals AI)	68.5%	68.8%	GPT-5.5
MedQA (Vals AI)	95.4%	Not measured	Only Claude Opus 4.6 measured
MedCode (Vals AI)	49.1%	49.1%	Claude Opus 4.6
SimpleQA Verified	47.0%	63.0%	GPT-5.5
LMArena Text: science	1519	1485	Claude Opus 4.6
LMArena Text: medicine and healthcare	1504	1465	Claude Opus 4.6
LMArena Text: legal and government	1512	1491	Claude Opus 4.6
LMArena Text: business and finance	1497	1478	Claude Opus 4.6
FACTS Benchmark Suite	41.5%	66.7%	GPT-5.5
Neither model has a result on the other 4 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index52

Web design benchmarks for Claude Opus 4.6 and GPT-5.5
Benchmark	Claude Opus 4.6	GPT-5.5	Leader
Design Arena: websites	1291	1256	Claude Opus 4.6
Design Arena: UI components	1281	1257	Claude Opus 4.6
Design Arena: game dev	1277	1293	GPT-5.5
Design Arena: data viz	1279	1264	Claude Opus 4.6
Design Arena: 3D	1273	1197	Claude Opus 4.6
Design Arena: all code categories	1288	1260	Claude Opus 4.6
Design Arena: SVG	1227	1234	GPT-5.5
Design Arena: ASCII art	1255	1255	Tie
LiveBench design	Not measured	70.3%	Only GPT-5.5 measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index267

General benchmarks for Claude Opus 4.6 and GPT-5.5
Benchmark	Claude Opus 4.6	GPT-5.5	Leader
LiveBench data analysis	Not measured	81.6%	Only GPT-5.5 measured
Public Benefits Bench (Vals AI)	Not measured	60.9%	Only GPT-5.5 measured
SAGE (Vals AI)	51.6%	51.5%	Claude Opus 4.6
MedScribe (Vals AI)	86.7%	86.9%	GPT-5.5
Vals Multimodal Index	Not measured	68.1%	Only GPT-5.5 measured
IFBench	53.1%	75.9%	GPT-5.5
Long context reasoning (AA-LCR)	78.0%	84.3%	GPT-5.5
DTBench	91.2%	96.0%	GPT-5.5
LMCA	55.8%	54.3%	Claude Opus 4.6
CL-bench	20.7%	Not measured	Only Claude Opus 4.6 measured
Surface Evolver Bench	Not measured	88.1%	Only GPT-5.5 measured
Furniture assembly	28.3%	44.2%	GPT-5.5
ExploitBench	Not measured	47.4%	Only GPT-5.5 measured
CL-bench Life	17.0%	22.2%	GPT-5.5
LMArena Text	1501	1471	Claude Opus 4.6
LMArena Text: instruction following	1521	1478	Claude Opus 4.6
LMArena Text: creative writing	1505	1455	Claude Opus 4.6
LMArena Vision	1316	1297	Claude Opus 4.6
LMArena Text: English	1511	1470	Claude Opus 4.6
LMArena Text: non-English	1488	1467	Claude Opus 4.6
LMArena Text: Chinese	1551	1534	Claude Opus 4.6
LMArena Text: German	1500	1480	Claude Opus 4.6
LMArena Text: Japanese	1488	1499	GPT-5.5
LMArena Text: Korean	1464	1460	Claude Opus 4.6
LMArena Text: French	1512	1485	Claude Opus 4.6
LMArena Text: Spanish	1510	1468	Claude Opus 4.6
LMArena Text: Russian	1497	1473	Claude Opus 4.6
LMArena Text: Polish	1499	1465	Claude Opus 4.6
LMArena Text: multi-turn	1511	1476	Claude Opus 4.6
LMArena Text: longer queries	1518	1484	Claude Opus 4.6
LMArena Text: writing and language	1502	1466	Claude Opus 4.6
LMArena Text: entertainment and media	1492	1449	Claude Opus 4.6
LMArena Vision: English	1324	1292	Claude Opus 4.6
LMArena Vision: Chinese	1370	1360	Claude Opus 4.6
LMArena Vision: reading text	1326	1306	Claude Opus 4.6
LMArena Vision: humor	1314	1293	Claude Opus 4.6
LMArena Vision: recognizing things	1274	1231	Claude Opus 4.6
LMArena Vision: creative writing	1331	1301	Claude Opus 4.6
LMArena Document	1507	1486	Claude Opus 4.6
Neither model has a result on the other 7 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Claude Opus 4.6 and GPT-5.5
Benchmark	Claude Opus 4.6	GPT-5.5	Leader
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 Opus 4.6$0.018Fits in one request

GPT-5.5$0.020Fits in one request

Claude Opus 4.6 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request

GPT-5.5$0.340Fits in one request

Claude Opus 4.6 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request

GPT-5.5$1.30Fits in one request

Claude Opus 4.6 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 Opus 4.6 and GPT-5.5
Specification	Anthropic Claude Opus 4.6	OpenAI GPT-5.5
Maker	Anthropic	OpenAI
Weights	No public weights listed	No public weights listed
Released	February 4, 2026	April 24, 2026
Context window	1M	1.05M
Input $/Mtok	$5.00	$5.00
Output $/Mtok	$25.00	$30.00
Coding index	57.2	71.3
Independent measurements behind it	4	5
Cost per solved task	$1.56	$1.65
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Opus 4.6 better than GPT-5.5 for coding?

Pick GPT-5.5 for coding: it scores 71.3 on the Vibe Coding Index against 57.2 for Claude Opus 4.6. Pick Claude Opus 4.6 for output tokens 1.2x cheaper ($25.00 vs $30.00 per million) and a lower cost per solved task ($1.56 against $1.65).

Which is cheaper, Claude Opus 4.6 or GPT-5.5?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.5 costs $5.00 and $30.00. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and GPT-5.5 $1.65.

Which has the bigger context window, Claude Opus 4.6 or GPT-5.5?

GPT-5.5, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.6 vs GPT-5.5 comparison based on?

103 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 independent benchmarks and GPT-5.5's on 5. Where only one model has a result, the page says so instead of naming a winner.

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Claude Opus 4.6 or GPT-5.5: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next