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Claude Haiku 5.5 vs Grok 4.7

Claude Haiku 5.5 leads Grok 4.7 on coding, 70.7 to 66.7 on the Vibe Coding Index, and Claude Haiku 5.5 costs 12.0x less per output token ($0.50 vs $6.00 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Replace Claude Haiku 5.5 Replace Grok 4.7
Claude Haiku 5.5Anthropic
Coding
70.7
Overall
67.6
Output $/M
$0.50
36
Grok 4.7xAI
Coding
66.7
Overall
66.6
Output $/M
$6.00
23
vs boards won of 60 shared, 1 tied

Claude Haiku 5.5 or Grok 4.7: which to pick

Pick Claude Haiku 5.5 for coding: it scores 70.7 on the Vibe Coding Index against 66.7 for Grok 4.7.

Pick Grok 4.7 for work measured by LMArena WebDev or Code migration (Vals AI), where it leads.

Model AClaude Haiku 5.5Anthropic70.7/1005 independent benchmarksNo cost per solved taskModel BGrok 4.7xAI66.7/1005 independent benchmarksNo cost per solved task
Shared results
60
Claude Haiku 5.5 only
3
Grok 4.7 only
39
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, Grok 4.7 66.7 from 5 benchmarks.
Widest category
Math, 28.8 points apart on average over 4 shared benchmarks.
Widest single gap
ProofBench: Claude Haiku 5.5 89.0% against Grok 4.7 26.0%, 63.0 points apart on a 0 to 100 scale.
Output price
Claude Haiku 5.5 $0.50 against Grok 4.7 $6.00 per million output tokens, 12.0x apart.
Context window
Claude Haiku 5.5 takes 1M tokens, Grok 4.7 500K.

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 5.5BarsGrok 4.7Ties
Coding77
Intelligence11
Agentic work761 tie
Reasoning44
Math40
Knowledge11
Web design61
General63
All shared boards36231 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index77
Coding benchmarks for Claude Haiku 5.5 and Grok 4.7
BenchmarkClaude Haiku 5.5Grok 4.7Leader
LiveBench coding91.4%84.5%Claude Haiku 5.5
LMArena WebDev15861637Grok 4.7
Terminal-Bench 4 (Vals AI)36.4%28.8%Claude Haiku 5.5
Vibe Code Bench (Vals AI)90.4%86.2%Claude Haiku 5.5
Code migration (Vals AI)44.6%44.8%Grok 4.7
ProgramBench (Vals AI)2.5%0.5%Claude Haiku 5.5
IOI (Vals AI)47.3%57.7%Grok 4.7
Terminal-Bench 2.1 (Vals AI)Not measured73.4%Only Grok 4.7 measured
SWE-bench Multimodal (Vals AI)44.0%42.9%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%69.5%Claude Haiku 5.5
SciCode55.0%57.8%Grok 4.7
FrontierCode46.4%47.6%Grok 4.7
FrontierSWE43.8%29.5%Claude Haiku 5.5
LMArena Text: codingNot measured1432Only Grok 4.7 measured
LMArena Text: software and ITNot measured1421Only Grok 4.7 measured
LMArena WebDev: React16051663Grok 4.7
LMArena WebDev: HTML15691627Grok 4.7
LMArena WebDev: from an imageNot measured1586Only Grok 4.7 measured
SciCode9.2%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Claude Haiku 5.5 and Grok 4.7
BenchmarkClaude Haiku 5.5Grok 4.7Leader
AA Intelligence Index43.446.4Grok 4.7
Epoch Capabilities Index159.3154.4Claude Haiku 5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index76
Agentic work benchmarks for Claude Haiku 5.5 and Grok 4.7
BenchmarkClaude Haiku 5.5Grok 4.7Leader
LiveBench research81.9%86.4%Grok 4.7
LiveBench browser80.0%60.0%Claude Haiku 5.5
LiveBench long agentic57.6%50.1%Claude Haiku 5.5
SREBench (Vals AI)5.7%3.8%Claude Haiku 5.5
Finance Agent (Vals AI)54.1%52.3%Claude Haiku 5.5
Tax Agent Bench (Vals AI)31.9%34.2%Grok 4.7
Legal Research Bench (Vals AI)43.3%47.1%Grok 4.7
Harvey's Legal Agent Benchmark (Vals AI)4.2%18.3%Grok 4.7
Excel Modeling Benchmark (Vals AI)59.0%67.0%Grok 4.7
BioMysteryBench (Vals AI)70.4%69.3%Claude Haiku 5.5
Terminal-Bench-Science (Vals AI)10.0%10.0%Tie
Vals Science Index38.5%34.8%Claude Haiku 5.5
Robo-bench (Vals AI)Not measured0.2%Only Grok 4.7 measured
APEX-Agents56.1%54.6%Claude Haiku 5.5
Vending-Bench 2$3,602$10,537Grok 4.7
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index44
Reasoning benchmarks for Claude Haiku 5.5 and Grok 4.7
BenchmarkClaude Haiku 5.5Grok 4.7Leader
LiveBench reasoning82.4%82.7%Grok 4.7
MysteryMechanism (Vals AI)35.1%25.2%Claude Haiku 5.5
Humanity's Last Exam (Artificial Analysis run)44.4%43.1%Claude Haiku 5.5
GPQA Diamond (Epoch AI run)89.6%92.7%Grok 4.7
ARC-AGI89.0%90.2%Grok 4.7
ARC-AGI-261.3%61.4%Grok 4.7
Chess puzzles55.0%41.0%Claude Haiku 5.5
Mystery game puzzles30.0%29.0%Claude Haiku 5.5
EBR-bench43.8%Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: hard promptsNot measured1415Only Grok 4.7 measured
LMArena Text: expertNot measured1439Only Grok 4.7 measured
LMArena Text: hard prompts in EnglishNot measured1427Only Grok 4.7 measured
LMArena Vision: diagramsNot measured1254Only Grok 4.7 measured
LMArena Vision: homeworkNot measured1309Only Grok 4.7 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Haiku 5.5 and Grok 4.7
BenchmarkClaude Haiku 5.5Grok 4.7Leader
OTIS Mock AIME98.9%98.1%Claude Haiku 5.5
FrontierMath, tiers 1 to 375.1%53.0%Claude Haiku 5.5
FrontierMath, tier 446.3%17.1%Claude Haiku 5.5
ProofBench89.0%26.0%Claude Haiku 5.5
LMArena Text: mathNot measured1414Only Grok 4.7 measured
LMArena Text: mathematical workNot measured1435Only Grok 4.7 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 Grok 4.7
BenchmarkClaude Haiku 5.5Grok 4.7Leader
LegalBench (Vals AI)Not measured84.4%Only Grok 4.7 measured
MedCode (Vals AI)51.5%49.5%Claude Haiku 5.5
SimpleQA Verified23.8%56.0%Grok 4.7
LMArena Text: scienceNot measured1419Only Grok 4.7 measured
LMArena Text: medicine and healthcareNot measured1395Only Grok 4.7 measured
LMArena Text: legal and governmentNot measured1423Only Grok 4.7 measured
LMArena Text: business and financeNot measured1389Only Grok 4.7 measured
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for Claude Haiku 5.5 and Grok 4.7
BenchmarkClaude Haiku 5.5Grok 4.7Leader
Design Arena: websites12621255Claude Haiku 5.5
Design Arena: UI components12911275Claude Haiku 5.5
Design Arena: game dev13131314Grok 4.7
Design Arena: data viz12941238Claude Haiku 5.5
Design Arena: 3D13421274Claude Haiku 5.5
Design Arena: all code categories12781273Claude Haiku 5.5
LiveBench design83.1%78.0%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 index63
General benchmarks for Claude Haiku 5.5 and Grok 4.7
BenchmarkClaude Haiku 5.5Grok 4.7Leader
Vals Index58.7%58.6%Claude Haiku 5.5
LiveBench data analysis53.1%76.9%Grok 4.7
Public Benefits Bench (Vals AI)63.2%65.6%Grok 4.7
SAGE (Vals AI)45.8%40.8%Claude Haiku 5.5
MedScribe (Vals AI)89.5%89.4%Claude Haiku 5.5
Long context reasoning (AA-LCR)82.7%80.0%Claude Haiku 5.5
DTBench95.0%96.0%Grok 4.7
LMCA51.1%49.4%Claude Haiku 5.5
Furniture assembly47.5%20.8%Claude Haiku 5.5
LMArena TextNot measured1399Only Grok 4.7 measured
LMArena Text: instruction followingNot measured1406Only Grok 4.7 measured
LMArena Text: creative writingNot measured1381Only Grok 4.7 measured
LMArena VisionNot measured1231Only Grok 4.7 measured
LMArena Text: EnglishNot measured1411Only Grok 4.7 measured
LMArena Text: non-EnglishNot measured1386Only Grok 4.7 measured
LMArena Text: ChineseNot measured1449Only Grok 4.7 measured
LMArena Text: GermanNot measured1366Only Grok 4.7 measured
LMArena Text: JapaneseNot measured1359Only Grok 4.7 measured
LMArena Text: KoreanNot measured1383Only Grok 4.7 measured
LMArena Text: FrenchNot measured1431Only Grok 4.7 measured
LMArena Text: SpanishNot measured1406Only Grok 4.7 measured
LMArena Text: RussianNot measured1399Only Grok 4.7 measured
LMArena Text: PolishNot measured1420Only Grok 4.7 measured
LMArena Text: multi-turnNot measured1394Only Grok 4.7 measured
LMArena Text: longer queriesNot measured1416Only Grok 4.7 measured
LMArena Text: writing and languageNot measured1394Only Grok 4.7 measured
LMArena Text: entertainment and mediaNot measured1376Only Grok 4.7 measured
LMArena Vision: EnglishNot measured1229Only Grok 4.7 measured
LMArena Vision: ChineseNot measured1250Only Grok 4.7 measured
LMArena Vision: reading textNot measured1241Only Grok 4.7 measured
LMArena Vision: creative writingNot measured1217Only Grok 4.7 measured
Neither model has a result on the other 15 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 Grok 4.7
BenchmarkClaude Haiku 5.5Grok 4.7Leader
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
Grok 4.7$0.0050Fits 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
Grok 4.7$0.118Fits 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
Grok 4.7$0.460Fits 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 Grok 4.7
SpecificationAnthropic Claude Haiku 5.5SpaceXAI Grok 4.7
MakerAnthropicxAI
WeightsNo public weights listedNo public weights listed
ReleasedOctober 7, 2026September 21, 2026
Context window1M500K
Input $/Mtok$0.10$2.00
Output $/Mtok$0.50$6.00
Coding index70.766.7
Independent measurements behind it55
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 5.5 better than Grok 4.7 for coding?

Pick Claude Haiku 5.5 for coding: it scores 70.7 on the Vibe Coding Index against 66.7 for Grok 4.7. Pick Grok 4.7 for work measured by LMArena WebDev or Code migration (Vals AI), where it leads.

Which is cheaper, Claude Haiku 5.5 or Grok 4.7?

Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Haiku 5.5 or Grok 4.7?

Claude Haiku 5.5, with 1M tokens against 500K.

How many benchmarks is the Claude Haiku 5.5 vs Grok 4.7 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 Grok 4.7's on 5. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-haiku-5-5-vs-grok-4-7">LLMBenchmark.ai, Claude Haiku 5.5 vs Grok 4.7</a></p>