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Claude Haiku 5.5 vs GPT-6.1 Sol

GPT-6.1 Sol leads Claude Haiku 5.5 on coding, 82.4 to 70.7 on the Vibe Coding Index, and Claude Haiku 5.5 costs 20.0x less per output token ($0.50 vs $10.00 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Claude Haiku 5.5Anthropic
Coding
70.7
Overall
67.6
Output $/M
$0.50
11
GPT-6.1 SolOpenAI
Coding
82.4
Overall
81.4
Output $/M
$10.00
48
vs boards won of 60 shared, 1 tied

Claude Haiku 5.5 or GPT-6.1 Sol: which to pick

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 70.7 for Claude Haiku 5.5.

Pick Claude Haiku 5.5 for output tokens 20.0x cheaper ($0.50 vs $10.00 per million) and work measured by Vibe Code Bench (Vals AI) or SWE-bench Multimodal (Vals AI), where it leads.

Shared results
60
Claude Haiku 5.5 only
3
GPT-6.1 Sol only
38
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 Haiku 5.5 70.7 from 5 benchmarks, GPT-6.1 Sol 82.4 from 5 benchmarks.
Widest category
Knowledge, 26.4 points apart on average over 2 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Haiku 5.5 46.3% against GPT-6.1 Sol 100.0%, 53.7 points apart on a 0 to 100 scale.
Output price
Claude Haiku 5.5 $0.50 against GPT-6.1 Sol $10.00 per million output tokens, 20.0x apart.
Context window
Claude Haiku 5.5 takes 1M tokens, GPT-6.1 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
CategoryClaude Haiku 5.5BarsGPT-6.1 SolTies
Coding3101 tie
Intelligence02
Agentic work310
Reasoning09
Math04
Knowledge11
Web design25
General27
All shared boards11481 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index310
Coding benchmarks for Claude Haiku 5.5 and GPT-6.1 Sol
BenchmarkClaude Haiku 5.5GPT-6.1 SolLeader
LiveBench coding91.4%96.0%GPT-6.1 Sol
LMArena WebDev15861753GPT-6.1 Sol
Terminal-Bench 4 (Vals AI)36.4%55.0%GPT-6.1 Sol
Vibe Code Bench (Vals AI)90.4%88.9%Claude Haiku 5.5
Code migration (Vals AI)44.6%65.1%GPT-6.1 Sol
ProgramBench (Vals AI)2.5%3.0%GPT-6.1 Sol
IOI (Vals AI)47.3%96.9%GPT-6.1 Sol
SWE-bench Multimodal (Vals AI)44.0%43.5%Claude Haiku 5.5
Vibe Code Bench 1-100 (Vals AI)20.4%Not measuredOnly Claude Haiku 5.5 measured
CyberBench (Vals AI)75.5%39.3%Claude Haiku 5.5
SciCode55.0%55.8%GPT-6.1 Sol
FrontierCode46.4%50.2%GPT-6.1 Sol
FrontierSWE43.8%Not measuredOnly Claude Haiku 5.5 measured
ALE-BenchNot measured2743.8Only GPT-6.1 Sol measured
LMArena Text: codingNot measured1478Only GPT-6.1 Sol measured
LMArena Text: software and ITNot measured1476Only GPT-6.1 Sol measured
LMArena WebDev: React16051754GPT-6.1 Sol
LMArena WebDev: HTML15691800GPT-6.1 Sol
LMArena WebDev: from an imageNot measured1702Only GPT-6.1 Sol measured
SciCode9.2%9.2%Tie
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Haiku 5.5 and GPT-6.1 Sol
BenchmarkClaude Haiku 5.5GPT-6.1 SolLeader
AA Intelligence Index43.451.8GPT-6.1 Sol
Epoch Capabilities Index159.3168.4GPT-6.1 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index310
Agentic work benchmarks for Claude Haiku 5.5 and GPT-6.1 Sol
BenchmarkClaude Haiku 5.5GPT-6.1 SolLeader
Design Arena: agents building web appsNot measured1306Only GPT-6.1 Sol measured
Design Arena: agents building mobile appsNot measured1213Only GPT-6.1 Sol measured
Design Arena: spreadsheetsNot measured1259Only GPT-6.1 Sol measured
LiveBench research81.9%83.5%GPT-6.1 Sol
LiveBench browser80.0%88.0%GPT-6.1 Sol
LiveBench long agentic57.6%73.0%GPT-6.1 Sol
SREBench (Vals AI)5.7%50.8%GPT-6.1 Sol
Finance Agent (Vals AI)54.1%52.0%Claude Haiku 5.5
Tax Agent Bench (Vals AI)31.9%21.8%Claude Haiku 5.5
Legal Research Bench (Vals AI)43.3%38.5%Claude Haiku 5.5
Harvey's Legal Agent Benchmark (Vals AI)4.2%6.3%GPT-6.1 Sol
Excel Modeling Benchmark (Vals AI)59.0%70.8%GPT-6.1 Sol
BioMysteryBench (Vals AI)70.4%79.6%GPT-6.1 Sol
Terminal-Bench-Science (Vals AI)10.0%52.9%GPT-6.1 Sol
Vals Science Index38.5%59.6%GPT-6.1 Sol
Robo-bench (Vals AI)Not measured28.3%Only GPT-6.1 Sol measured
APEX-Agents56.1%60.0%GPT-6.1 Sol
SpireClimbNot measured24.7%Only GPT-6.1 Sol measured
Vending-Bench 2$3,602Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for Claude Haiku 5.5 and GPT-6.1 Sol
BenchmarkClaude Haiku 5.5GPT-6.1 SolLeader
LiveBench reasoning82.4%92.6%GPT-6.1 Sol
MysteryMechanism (Vals AI)35.1%46.4%GPT-6.1 Sol
Humanity's Last Exam (Artificial Analysis run)44.4%52.9%GPT-6.1 Sol
GPQA Diamond (Epoch AI run)89.6%95.4%GPT-6.1 Sol
ARC-AGI89.0%98.5%GPT-6.1 Sol
ARC-AGI-261.3%94.2%GPT-6.1 Sol
Chess puzzles55.0%68.0%GPT-6.1 Sol
Mystery game puzzles30.0%80.0%GPT-6.1 Sol
EBR-bench43.8%54.3%GPT-6.1 Sol
LMArena Text: hard promptsNot measured1463Only GPT-6.1 Sol measured
LMArena Text: expertNot measured1489Only GPT-6.1 Sol measured
LMArena Text: hard prompts in EnglishNot measured1465Only GPT-6.1 Sol measured
LMArena Vision: diagramsNot measured1306Only GPT-6.1 Sol measured
LMArena Vision: homeworkNot measured1356Only GPT-6.1 Sol measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Claude Haiku 5.5 and GPT-6.1 Sol
BenchmarkClaude Haiku 5.5GPT-6.1 SolLeader
OTIS Mock AIME98.9%100.0%GPT-6.1 Sol
FrontierMath, tiers 1 to 375.1%93.7%GPT-6.1 Sol
FrontierMath, tier 446.3%100.0%GPT-6.1 Sol
ProofBench89.0%99.0%GPT-6.1 Sol
LMArena Text: mathNot measured1489Only GPT-6.1 Sol measured
LMArena Text: mathematical workNot measured1513Only GPT-6.1 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-6.1 Sol
BenchmarkClaude Haiku 5.5GPT-6.1 SolLeader
MedCode (Vals AI)51.5%48.8%Claude Haiku 5.5
SimpleQA Verified23.8%73.9%GPT-6.1 Sol
LMArena Text: scienceNot measured1444Only GPT-6.1 Sol measured
LMArena Text: medicine and healthcareNot measured1433Only GPT-6.1 Sol measured
LMArena Text: legal and governmentNot measured1471Only GPT-6.1 Sol measured
LMArena Text: business and financeNot measured1445Only GPT-6.1 Sol measured
FACTS Benchmark SuiteNot measured75.3%Only GPT-6.1 Sol measured
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index25
Web design benchmarks for Claude Haiku 5.5 and GPT-6.1 Sol
BenchmarkClaude Haiku 5.5GPT-6.1 SolLeader
Design Arena: websites12621321GPT-6.1 Sol
Design Arena: UI components12911317GPT-6.1 Sol
Design Arena: game dev13131389GPT-6.1 Sol
Design Arena: data viz12941281Claude Haiku 5.5
Design Arena: 3D13421460GPT-6.1 Sol
Design Arena: all code categories12781345GPT-6.1 Sol
LiveBench design83.1%82.1%Claude Haiku 5.5
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index27
General benchmarks for Claude Haiku 5.5 and GPT-6.1 Sol
BenchmarkClaude Haiku 5.5GPT-6.1 SolLeader
Vals Index58.7%63.9%GPT-6.1 Sol
LiveBench data analysis53.1%82.7%GPT-6.1 Sol
Public Benefits Bench (Vals AI)63.2%59.3%Claude Haiku 5.5
SAGE (Vals AI)45.8%46.5%GPT-6.1 Sol
MedScribe (Vals AI)89.5%86.5%Claude Haiku 5.5
Long context reasoning (AA-LCR)82.7%84.0%GPT-6.1 Sol
DTBench95.0%96.5%GPT-6.1 Sol
LMCA51.1%62.8%GPT-6.1 Sol
Furniture assembly47.5%80.0%GPT-6.1 Sol
LMArena TextNot measured1443Only GPT-6.1 Sol measured
LMArena Text: instruction followingNot measured1466Only GPT-6.1 Sol measured
LMArena Text: creative writingNot measured1425Only GPT-6.1 Sol measured
LMArena VisionNot measured1288Only GPT-6.1 Sol measured
LMArena Text: EnglishNot measured1450Only GPT-6.1 Sol measured
LMArena Text: non-EnglishNot measured1433Only GPT-6.1 Sol measured
LMArena Text: ChineseNot measured1487Only GPT-6.1 Sol measured
LMArena Text: FrenchNot measured1460Only GPT-6.1 Sol measured
LMArena Text: SpanishNot measured1439Only GPT-6.1 Sol measured
LMArena Text: RussianNot measured1457Only GPT-6.1 Sol measured
LMArena Text: multi-turnNot measured1442Only GPT-6.1 Sol measured
LMArena Text: longer queriesNot measured1458Only GPT-6.1 Sol measured
LMArena Text: writing and languageNot measured1444Only GPT-6.1 Sol measured
LMArena Text: entertainment and mediaNot measured1426Only GPT-6.1 Sol measured
LMArena Vision: EnglishNot measured1274Only GPT-6.1 Sol measured
LMArena Vision: reading textNot measured1289Only GPT-6.1 Sol measured
LMArena Vision: creative writingNot measured1301Only GPT-6.1 Sol measured
Neither model has a result on the other 20 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-6.1 Sol
BenchmarkClaude Haiku 5.5GPT-6.1 SolLeader
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-6.1 Sol$0.0070Fits 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-6.1 Sol$0.130Fits 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-6.1 Sol$0.500Fits 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-6.1 Sol
SpecificationAnthropic Claude Haiku 5.5OpenAI GPT-6.1 Sol
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedOctober 7, 2026September 29, 2026
Context window1M1.05M
Input $/Mtok$0.10$2.00
Output $/Mtok$0.50$10.00
Coding index70.782.4
Independent measurements behind it55
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 5.5 better than GPT-6.1 Sol for coding?

Pick GPT-6.1 Sol for coding: it scores 82.4 on the Vibe Coding Index against 70.7 for Claude Haiku 5.5. Pick Claude Haiku 5.5 for output tokens 20.0x cheaper ($0.50 vs $10.00 per million) and work measured by Vibe Code Bench (Vals AI) or SWE-bench Multimodal (Vals AI), where it leads.

Which is cheaper, Claude Haiku 5.5 or GPT-6.1 Sol?

Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; GPT-6.1 Sol costs $2.00 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Haiku 5.5 or GPT-6.1 Sol?

GPT-6.1 Sol, with 1.05M tokens against 1M.

How many benchmarks is the Claude Haiku 5.5 vs GPT-6.1 Sol comparison based on?

60 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 5.5's coding index rests on 5 independent benchmarks and GPT-6.1 Sol's on 5. Where only one model has a result, the page says so instead of naming a winner.

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