Claude Code vs. Grok Build

Name: Coding Agent Index
Creator: Artificial Analysis
License: https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf

Comparação entre Claude Code e Grok Build no Artificial Analysis Coding Agent Index, incluindo pontuações de benchmarks, custo, tempo de execução e uso de tokens.

Para saber mais sobre nossa metodologia, consulte a página de metodologia.

Explore outras comparações

Coding Agent Index

Artificial Analysis Coding Agent Index v2.1 · Higher is better

Tempo por tarefa

Average agent wall time per task · Lower is better

Custo por tarefa

Average API cost per task (USD) · Lower is better

Comparação

Comparação lado a lado de Claude Code e Grok Build.

Métrica	Claude Code Claude Fable 5.2 (Xhigh, Default Fallback)	Grok Build Grok 4.7 (Xhigh)	Análise
Harness do agente	Claude Code	Grok Build
Modelo representativo	Claude Fable 5.2 (Xhigh, Default Fallback)	Grok 4.7 (Xhigh)
Coding Agent Index	58	42	Claude Code tem um Coding Agent Index mais alto que Grok Build
FrontierCode-AA 2.0	49	30	Claude Code tem uma pontuação mais alta em FrontierCode-AA 2.0 que Grok Build
Terminal-Bench 4.1	64	32	Claude Code tem uma pontuação mais alta em Terminal-Bench 4.1 que Grok Build
SWE-Atlas-QnA-AA	62	63	Grok Build tem uma pontuação mais alta em SWE-Atlas-QnA-AA que Claude Code
Custo por tarefa	$15.47	$15.35	Grok Build tem um custo por tarefa mais baixo que Claude Code
Tempo por tarefa	53.3m	36.6m	Grok Build tem um tempo por tarefa mais baixo que Claude Code
Turnos por tarefa	94.7	174.2	Claude Code tem menos turnos por tarefa que Grok Build
Uso de tokens por tarefa	9.75M	17.1M	Claude Code tem um uso de tokens por tarefa mais baixo que Grok Build
Taxa de acertos de cache	94%	95%	Grok Build tem uma taxa de acertos de cache mais alta que Claude Code

Modelos

Modelos avaliados para Claude Code e Grok Build.


Claude Code	Claude Fable 5.2 (Xhigh, Default Fallback)	xhigh	58	49	64	62	$15.47	53.3m	9.75M
Claude Code	Claude Fable 5.2 (High, Default Fallback)	high	58	49	64	62	$7.51	31.3m	5.12M
Claude Code	Claude Opus 5.5 (Max, Default Fallback)	max	58	44	65	66	$12.61	1.1h	15.9M
Claude Code	Claude Sonnet 5.5 (Max, Default Fallback)	max	56	39	66	64	$11.40	1.4h	26.4M
Claude Code	Claude Fable 5.2 (Max, Default Fallback)	max	56	44	63	60	$44.22	2.2h	24M
Claude Code	Claude Fable 5.2 (Medium, Default Fallback)	medium	53	36	60	64	$2.89	15.1m	1.9M
Claude Code	Claude Fable 5.1 (Max, Default Fallback)	max	52	33	58	66	$11.70	36.3m	6.68M
Claude Code	Claude Fable 5.2 (Low, Default Fallback)	low	48	31	53	60	$2.49	13.4m	1.64M
Claude Code	Step 5 Preview	reasoning	36	18	30	59	$3.55	59.5m	24.5M
Claude Code	Qwen3.8 Max	reasoning	33	25	17	56	$4.03	1.4h	9.64M
Claude Code	Claude Haiku 5.5 (Max)	max	30	23	32	34	$2.25	1.3h	12.4M
Grok Build	Grok 4.7 (Xhigh)	xhigh	42	30	32	63	$15.35	36.6m	17.1M

Desempenho

Desempenho no Artificial Analysis Coding Agent Index.

Artificial Analysis Coding Agent Index

Artificial Analysis Coding Agent Index v2.1 incorporates 3 benchmarks: FrontierCode-AA 2.0, Terminal-Bench 4.1, and SWE-Atlas-QnA-AA · Higher is better

Colorir por

The Artificial Analysis Coding Agent Index is a composite score built from FrontierCode-AA 2.0, Terminal-Bench 4.1 e SWE-Atlas-QnA-AA.

It is useful for quick comparison, but it should be read alongside the per-eval breakdowns. Two agents with similar index values can still have different strengths across repository tasks, terminal workflows, and rubric-based evaluations.

Artificial Analysis Coding Agent Index vs. custo por tarefa

Artificial Analysis Coding Agent Index vs. média do custo da API de pagamento por token por tarefa (USD)

Colorir por

Most attractive quadrant

Pareto line

Each point represents a coding-agent variant. Farther left means lower average cost per task, while higher on the chart means higher benchmark performance. The most efficient agents sit toward the upper-left: stronger results at lower cost.

Uso de tokens

Consumo de tokens no Artificial Analysis Coding Agent Index.

Uso de tokens por tarefa

Média de tokens de entrada, cache e saída por tarefa

As taxas de acerto do cache de prompts podem variar significativamente conforme o roteamento do provedor, alterando materialmente o custo efetivo.

Non-cached input tokens sent to the model, including prompts, instructions, tool context, and task context that were not served from prompt cache.

Artificial Analysis Coding Agent Index vs. tokens totais

Artificial Analysis Coding Agent Index vs. média de tokens totais por tarefa

Colorir por

Most attractive quadrant

Each point represents a coding-agent variant. Farther left means lower average total token usage per task, while higher on the chart means higher benchmark performance. Agents toward the upper-left achieve stronger results with fewer tokens.

Custo

Custo da API de pagamento por token no Artificial Analysis Coding Agent Index, com base nos preços atuais por token.

Custo por tarefa

Average pay-per-token API cost per task (USD) · Lower is better

Colorir por

This chart shows the average pay-per-token API cost per task across the Artificial Analysis Coding Agent Index, spanning FrontierCode-AA 2.0, Terminal-Bench 4.1 e SWE-Atlas-QnA-AA.

Where applicable, that cost model includes standard input pricing, discounted cached-input pricing, separate cache-write charges, and output pricing rather than treating all prompt tokens as if they were billed at the same uncached input rate.

It is intended to show pay-per-token API cost, not consumer plan pricing or the full operational cost of deploying the system in production. Infrastructure, engineering, and supervision costs are not the focus of this metric.

Tempo de execução

Tempo de execução ativo do agente no Artificial Analysis Coding Agent Index.

Tempo por tarefa

Average agent wall time per task · Lower is better

Colorir por

This chart uses agent wall time: how long the agent process was actively running on each task.

It does not include environment startup, verifier or judge time, or other harness overhead, so it is a cleaner comparison of how long the agent itself was working.

Artificial Analysis Coding Agent Index vs. tempo de execução

Artificial Analysis Coding Agent Index vs. média do tempo de execução do agente por tarefa

Colorir por

Most attractive quadrant

Each point represents a coding-agent variant. Farther left means shorter average agent runtime per task, while higher on the chart means higher benchmark performance. Agents toward the upper-left deliver stronger results in less active agent time.

Claude Code vs. Grok Build

Coding Agent Index

Tempo por tarefa

Custo por tarefa

Comparação

Modelos

Desempenho

Artificial Analysis Coding Agent Index

What This Metric Means

Artificial Analysis Coding Agent Index vs. custo por tarefa

How to Read This Chart

Uso de tokens

Uso de tokens por tarefa

Input Tokens

Artificial Analysis Coding Agent Index vs. tokens totais

How to Read This Chart

Custo

Custo por tarefa

What Cost Is Measuring

Tempo de execução

Tempo por tarefa

What Execution Time Is Measuring

Artificial Analysis Coding Agent Index vs. tempo de execução

How to Read This Chart