Claude Haiku 5.5 vs GPT-5.6 Sol

Updated October 21, 2026. 58 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Haiku 5.5 Replace GPT-5.6 Sol

Claude Haiku 5.5Anthropic

Coding: 75.9
Overall: 43.4
Output $/M: $0.50

GPT-5.6 SolOpenAI

Coding: 76.7
Overall: 47.0
Output $/M: $20.00

vs boards won of 58 shared

Decision reading

Claude Haiku 5.5 and GPT-5.6 Sol are level for coding, 75.9 against 76.7 on the Vibe Coding Index, so price and context decide.

Pick Claude Haiku 5.5 when output tokens cost 40.0x less, or when what matters is LiveBench coding or Vibe Code Bench (Vals AI), where it leads. Pick GPT-5.6 Sol when the context window is larger, 1.05M against 1M tokens, or when what matters is LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.

Model AClaude Haiku 5.5Anthropic75.9/1002 independent benchmarksNo cost per solved task Model BGPT-5.6 SolOpenAI76.7/1002 independent benchmarks$1.20 per solved task

58478

Shared results: 58
Claude Haiku 5.5 only: 4
GPT-5.6 Sol only: 78
Like-for-like categories: 8 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.

Coding
Vibe Coding Index, four public coding benchmarks
No call
Level: 75.9 against 76.7, inside 2 points.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-5.6 Sol
GPT-5.6 Sol leads, 47.0 against 43.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.6 Sol has a AA Agentic Index result, 50.2.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5.6 Sol has a GPQA Diamond result, 95.2%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.6 Sol has a MMLU Pro result, 89.1%.
Directional only
Web design
Design Arena: websites
GPT-5.6 Sol
GPT-5.6 Sol leads, 1321 against 1263.
Same board, both measured
General
Vals Index
No call
Only Claude Haiku 5.5 has a Vals Index result, 58.7%.
Directional only
Long documents
Listed context window
GPT-5.6 Sol
GPT-5.6 Sol takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Claude Haiku 5.5
Claude Haiku 5.5 $0.0003, GPT-5.6 Sol $0.014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.6 Sol has the number, $1.20.
Directional only

At a glance

Coding index: Claude Haiku 5.5 75.9 from 2 benchmarks, GPT-5.6 Sol 76.7 from 2 benchmarks.
Widest category: Knowledge, 26.7 points apart on average over 2 shared benchmarks.
Widest single gap: SimpleQA Verified: Claude Haiku 5.5 23.8% against GPT-5.6 Sol 69.7%, 45.9 points apart on a 0 to 100 scale.
Output price: Claude Haiku 5.5 $0.50 against GPT-5.6 Sol $20.00 per million output tokens, 40.0x apart.
Context window: Claude Haiku 5.5 takes 1M tokens, GPT-5.6 Sol 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 Haiku 5.5	GPT-5.6 Sol
Coding	5	9
Intelligence	0	2
Agentic work	4	8
Reasoning	1	8
Math	1	3
Knowledge	1	1
Web design	1	6
General	1	7
All shared boards	14	44

CodingLike-for-likeFour of these boards feed the Vibe Coding Index59

Coding benchmarks for Claude Haiku 5.5 and GPT-5.6 Sol
Benchmark	Claude Haiku 5.5	GPT-5.6 Sol	Leader
LiveBench coding	91.4%	89.7%	Claude Haiku 5.5
LMArena WebDev	1586	1616	GPT-5.6 Sol
AA Coding Index	Not measured	77.4	Only GPT-5.6 Sol measured
LiveCodeBench (Vals AI)	Not measured	82.6%	Only GPT-5.6 Sol measured
SWE-bench Verified (Vals AI)	Not measured	96.2%	Only GPT-5.6 Sol measured
Terminal-Bench 4 (Vals AI)	36.4%	37.9%	GPT-5.6 Sol
Vibe Code Bench (Vals AI)	90.4%	80.5%	Claude Haiku 5.5
Code migration (Vals AI)	44.6%	52.9%	GPT-5.6 Sol
ProgramBench (Vals AI)	2.5%	1.5%	Claude Haiku 5.5
IOI (Vals AI)	47.3%	91.2%	GPT-5.6 Sol
Terminal-Bench 2.1 (Vals AI)	Not measured	85.8%	Only GPT-5.6 Sol measured
SWE-bench Multimodal (Vals AI)	44.0%	Not measured	Only Claude Haiku 5.5 measured
Vibe Code Bench 1-100 (Vals AI)	20.4%	20.0%	Claude Haiku 5.5
SkillsBench (Vals AI)	Not measured	54.1%	Only GPT-5.6 Sol measured
CyberBench (Vals AI)	75.5%	76.3%	GPT-5.6 Sol
SciCode	55.0%	57.8%	GPT-5.6 Sol
Terminal-Bench Hard (Artificial Analysis run)	Not measured	65.9%	Only GPT-5.6 Sol measured
FrontierCode	46.4%	47.5%	GPT-5.6 Sol
FrontierSWE	43.8%	32.2%	Claude Haiku 5.5
GSO-Bench	Not measured	76.5%	Only GPT-5.6 Sol measured
WeirdML	Not measured	88.8%	Only GPT-5.6 Sol measured
MirrorCode	Not measured	20.0%	Only GPT-5.6 Sol measured
ALE-Bench	Not measured	2176.9	Only GPT-5.6 Sol measured
LMArena Text: coding	Not measured	1496	Only GPT-5.6 Sol measured
LMArena Text: software and IT	Not measured	1489	Only GPT-5.6 Sol measured
LMArena WebDev: React	1605	1620	GPT-5.6 Sol
LMArena WebDev: HTML	1569	1618	GPT-5.6 Sol
LMArena WebDev: from an image	Not measured	1609	Only GPT-5.6 Sol measured
Neither model has a result on the other 10 boards here

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

Intelligence benchmarks for Claude Haiku 5.5 and GPT-5.6 Sol
Benchmark	Claude Haiku 5.5	GPT-5.6 Sol	Leader
AA Intelligence Index	43.4	47.0	GPT-5.6 Sol
Epoch Capabilities Index	159.3	162.8	GPT-5.6 Sol

Agentic workLike-for-likePublic boards, shown as published, kept out of the index48

Agentic work benchmarks for Claude Haiku 5.5 and GPT-5.6 Sol
Benchmark	Claude Haiku 5.5	GPT-5.6 Sol	Leader
AA Agentic Index	Not measured	50.2	Only GPT-5.6 Sol measured
Design Arena: agents building web apps	Not measured	1245	Only GPT-5.6 Sol measured
Design Arena: agents building full-stack apps	Not measured	1261	Only GPT-5.6 Sol measured
Design Arena: agents building mobile apps	Not measured	1249	Only GPT-5.6 Sol measured
Design Arena: agents building Android apps	Not measured	1246	Only GPT-5.6 Sol measured
Design Arena: agents building Godot games	Not measured	1260	Only GPT-5.6 Sol measured
Design Arena: agents building games	Not measured	1267	Only GPT-5.6 Sol measured
Design Arena: HTML slides	Not measured	1286	Only GPT-5.6 Sol measured
Design Arena: PowerPoint slides	Not measured	1240	Only GPT-5.6 Sol measured
LiveBench research	81.9%	54.5%	Claude Haiku 5.5
LiveBench browser	80.0%	88.0%	GPT-5.6 Sol
LiveBench long agentic	57.6%	48.5%	Claude Haiku 5.5
SREBench (Vals AI)	5.7%	30.5%	GPT-5.6 Sol
Finance Agent (Vals AI)	54.1%	53.8%	Claude Haiku 5.5
Tax Agent Bench (Vals AI)	31.9%	31.1%	Claude Haiku 5.5
Legal Research Bench (Vals AI)	43.3%	48.1%	GPT-5.6 Sol
Harvey's Legal Agent Benchmark (Vals AI)	4.2%	Not measured	Only Claude Haiku 5.5 measured
Excel Modeling Benchmark (Vals AI)	59.0%	72.3%	GPT-5.6 Sol
BioMysteryBench (Vals AI)	70.4%	71.1%	GPT-5.6 Sol
Terminal-Bench-Science (Vals AI)	10.0%	20.0%	GPT-5.6 Sol
Vals Science Index	38.5%	41.5%	GPT-5.6 Sol
Time Horizon Index (Vals AI)	Not measured	23.8%	Only GPT-5.6 Sol measured
CUA-bench (Vals AI)	Not measured	8.3%	Only GPT-5.6 Sol measured
τ²-Bench Telecom	Not measured	85.1%	Only GPT-5.6 Sol measured
APEX-Agents	56.1%	Not measured	Only Claude Haiku 5.5 measured
OSWorld 2.0	Not measured	27.3%	Only GPT-5.6 Sol measured
BALROG	Not measured	60.0%	Only GPT-5.6 Sol measured
PostTrainBench	Not measured	36.2%	Only GPT-5.6 Sol measured
Vending-Bench 2	$3,602	$9,619	GPT-5.6 Sol
LMArena Search	Not measured	1261	Only GPT-5.6 Sol measured
Neither model has a result on the other 9 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index18

Reasoning benchmarks for Claude Haiku 5.5 and GPT-5.6 Sol
Benchmark	Claude Haiku 5.5	GPT-5.6 Sol	Leader
GPQA Diamond	Not measured	95.2%	Only GPT-5.6 Sol measured
LiveBench reasoning	82.4%	91.7%	GPT-5.6 Sol
MysteryMechanism (Vals AI)	35.1%	33.3%	Claude Haiku 5.5
MMMU Pro (Vals AI)	Not measured	88.8%	Only GPT-5.6 Sol measured
GPQA Diamond (Artificial Analysis run)	Not measured	94.1%	Only GPT-5.6 Sol measured
Humanity's Last Exam (Artificial Analysis run)	44.4%	49.5%	GPT-5.6 Sol
GPQA Diamond (Epoch AI run)	89.6%	93.5%	GPT-5.6 Sol
ARC-AGI	89.0%	97.5%	GPT-5.6 Sol
ARC-AGI-2	61.3%	92.5%	GPT-5.6 Sol
SimpleBench	Not measured	64.8%	Only GPT-5.6 Sol measured
Chess puzzles	55.0%	59.0%	GPT-5.6 Sol
Mystery game puzzles	30.0%	58.0%	GPT-5.6 Sol
EBR-bench	43.8%	44.8%	GPT-5.6 Sol
LMArena Text: hard prompts	Not measured	1483	Only GPT-5.6 Sol measured
LMArena Text: expert	Not measured	1517	Only GPT-5.6 Sol measured
LMArena Text: hard prompts in English	Not measured	1477	Only GPT-5.6 Sol measured
LMArena Vision: diagrams	Not measured	1305	Only GPT-5.6 Sol measured
LMArena Vision: homework	Not measured	1305	Only GPT-5.6 Sol measured
Neither model has a result on the other 3 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index13

Math benchmarks for Claude Haiku 5.5 and GPT-5.6 Sol
Benchmark	Claude Haiku 5.5	GPT-5.6 Sol	Leader
OTIS Mock AIME	98.9%	100.0%	GPT-5.6 Sol
FrontierMath, tiers 1 to 3	75.1%	89.1%	GPT-5.6 Sol
FrontierMath, tier 4	46.3%	82.9%	GPT-5.6 Sol
ProofBench	89.0%	83.0%	Claude Haiku 5.5
LMArena Text: math	Not measured	1473	Only GPT-5.6 Sol measured
LMArena Text: mathematical work	Not measured	1496	Only GPT-5.6 Sol measured
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index11

Knowledge benchmarks for Claude Haiku 5.5 and GPT-5.6 Sol
Benchmark	Claude Haiku 5.5	GPT-5.6 Sol	Leader
MMLU Pro	Not measured	89.1%	Only GPT-5.6 Sol measured
LegalBench (Vals AI)	Not measured	87.0%	Only GPT-5.6 Sol measured
CorpFin (Vals AI)	Not measured	64.4%	Only GPT-5.6 Sol measured
TaxEval (Vals AI)	Not measured	74.8%	Only GPT-5.6 Sol measured
MortgageTax (Vals AI)	Not measured	67.3%	Only GPT-5.6 Sol measured
MedCode (Vals AI)	51.5%	44.0%	Claude Haiku 5.5
SimpleQA Verified	23.8%	69.7%	GPT-5.6 Sol
LMArena Text: science	Not measured	1455	Only GPT-5.6 Sol measured
LMArena Text: medicine and healthcare	Not measured	1431	Only GPT-5.6 Sol measured
LMArena Text: legal and government	Not measured	1476	Only GPT-5.6 Sol measured
LMArena Text: business and finance	Not measured	1457	Only GPT-5.6 Sol measured
Neither model has a result on the other 6 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index16

Web design benchmarks for Claude Haiku 5.5 and GPT-5.6 Sol
Benchmark	Claude Haiku 5.5	GPT-5.6 Sol	Leader
Design Arena: websites	1263	1321	GPT-5.6 Sol
Design Arena: UI components	1295	1338	GPT-5.6 Sol
Design Arena: game dev	1315	1368	GPT-5.6 Sol
Design Arena: data viz	1292	1323	GPT-5.6 Sol
Design Arena: 3D	1343	1385	GPT-5.6 Sol
Design Arena: all code categories	1279	1341	GPT-5.6 Sol
Design Arena: SVG	Not measured	1316	Only GPT-5.6 Sol measured
Design Arena: ASCII art	Not measured	1302	Only GPT-5.6 Sol measured
LiveBench design	83.1%	81.6%	Claude Haiku 5.5

GeneralLike-for-likePublic boards, shown as published, kept out of the index17

General benchmarks for Claude Haiku 5.5 and GPT-5.6 Sol
Benchmark	Claude Haiku 5.5	GPT-5.6 Sol	Leader
Vals Index	58.7%	Not measured	Only Claude Haiku 5.5 measured
LiveBench data analysis	53.1%	79.8%	GPT-5.6 Sol
Public Benefits Bench (Vals AI)	63.2%	66.5%	GPT-5.6 Sol
SAGE (Vals AI)	45.8%	52.6%	GPT-5.6 Sol
MedScribe (Vals AI)	89.5%	85.2%	Claude Haiku 5.5
Vals Multimodal Index	Not measured	72.6%	Only GPT-5.6 Sol measured
IFBench	Not measured	72.7%	Only GPT-5.6 Sol measured
Long context reasoning (AA-LCR)	82.7%	84.0%	GPT-5.6 Sol
DTBench	95.0%	95.7%	GPT-5.6 Sol
LMCA	51.1%	58.5%	GPT-5.6 Sol
Surface Evolver Bench	Not measured	93.1%	Only GPT-5.6 Sol measured
Furniture assembly	47.5%	56.7%	GPT-5.6 Sol
LMArena Text	Not measured	1457	Only GPT-5.6 Sol measured
LMArena Text: instruction following	Not measured	1483	Only GPT-5.6 Sol measured
LMArena Text: creative writing	Not measured	1449	Only GPT-5.6 Sol measured
LMArena Vision	Not measured	1281	Only GPT-5.6 Sol measured
LMArena Text: English	Not measured	1457	Only GPT-5.6 Sol measured
LMArena Text: non-English	Not measured	1451	Only GPT-5.6 Sol measured
LMArena Text: Chinese	Not measured	1525	Only GPT-5.6 Sol measured
LMArena Text: German	Not measured	1476	Only GPT-5.6 Sol measured
LMArena Text: Japanese	Not measured	1472	Only GPT-5.6 Sol measured
LMArena Text: Korean	Not measured	1442	Only GPT-5.6 Sol measured
LMArena Text: French	Not measured	1472	Only GPT-5.6 Sol measured
LMArena Text: Spanish	Not measured	1443	Only GPT-5.6 Sol measured
LMArena Text: Russian	Not measured	1471	Only GPT-5.6 Sol measured
LMArena Text: Polish	Not measured	1459	Only GPT-5.6 Sol measured
LMArena Text: multi-turn	Not measured	1461	Only GPT-5.6 Sol measured
LMArena Text: longer queries	Not measured	1481	Only GPT-5.6 Sol measured
LMArena Text: writing and language	Not measured	1462	Only GPT-5.6 Sol measured
LMArena Text: entertainment and media	Not measured	1450	Only GPT-5.6 Sol measured
LMArena Vision: English	Not measured	1280	Only GPT-5.6 Sol measured
LMArena Vision: Chinese	Not measured	1313	Only GPT-5.6 Sol measured
LMArena Vision: reading text	Not measured	1290	Only GPT-5.6 Sol measured
LMArena Vision: humor	Not measured	1246	Only GPT-5.6 Sol measured
LMArena Vision: creative writing	Not measured	1283	Only GPT-5.6 Sol measured
LMArena Document	Not measured	1483	Only GPT-5.6 Sol measured
Neither model has a result on the other 10 boards here

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

Image generation benchmarks for Claude Haiku 5.5 and GPT-5.6 Sol
Benchmark	Claude Haiku 5.5	GPT-5.6 Sol	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 Haiku 5.5$0.0003Fits in one request

GPT-5.6 Sol$0.014Fits in one request

Claude Haiku 5.5 costs less

Repository review

50K input + 3K output tokens

Claude Haiku 5.5$0.0065Fits in one request

GPT-5.6 Sol$0.260Fits in one request

Claude Haiku 5.5 costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 5.5$0.025Fits in one request

GPT-5.6 Sol$1.00Fits in one request

Claude Haiku 5.5 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 Haiku 5.5 and GPT-5.6 Sol
Specification	Anthropic Claude Haiku 5.5	OpenAI GPT-5.6 Sol
Maker	Anthropic	OpenAI
Weights	No public weights listed	No public weights listed
Released	October 7, 2026	July 9, 2026
Context window	1M	1.05M
Input $/Mtok	$0.10	$4.00
Output $/Mtok	$0.50	$20.00
Coding index	75.9	76.7
Independent measurements behind it	2	2
Cost per solved task	Not computable	$1.20
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Haiku 5.5 better than GPT-5.6 Sol for coding?

Claude Haiku 5.5 and GPT-5.6 Sol are level for coding, 75.9 against 76.7 on the Vibe Coding Index, so price and context decide. Pick Claude Haiku 5.5 when output tokens cost 40.0x less, or when what matters is LiveBench coding or Vibe Code Bench (Vals AI), where it leads. Pick GPT-5.6 Sol when the context window is larger, 1.05M against 1M tokens, or when what matters is LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.

Which is cheaper, Claude Haiku 5.5 or GPT-5.6 Sol?

Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; GPT-5.6 Sol costs $4.00 and $20.00. Cost per solved task is known for GPT-5.6 Sol only.

Which has the bigger context window, Claude Haiku 5.5 or GPT-5.6 Sol?

GPT-5.6 Sol, with 1.05M tokens against 1M.

How many benchmarks is the Claude Haiku 5.5 vs GPT-5.6 Sol comparison based on?

58 benchmarks have a result for both models as of October 21, 2026. Claude Haiku 5.5's coding index rests on 2 independent benchmarks and GPT-5.6 Sol's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/claude-haiku-5-5-vs-gpt-5-6-sol" title="Claude Haiku 5.5 vs GPT-5.6 Sol, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-haiku-5-5-vs-gpt-5-6-sol">LLMBenchmark.ai, Claude Haiku 5.5 vs GPT-5.6 Sol</a></p>

Decision reading

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Knowledge

Web design

General

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