Codex vs. Opencode

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

Comparação entre Codex e Opencode no Artificial Analysis Coding Agent Index, incluindo pontuações de benchmarks, custo, tempo de execução e uso de tokens.

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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 Codex e Opencode.

Métrica	Codex GPT-6 Astra (Max)	Opencode GLM-5.3 (Max)	Análise
Harness do agente	Codex	Opencode
Modelo representativo	GPT-6 Astra (Max)	GLM-5.3 (Max)
Coding Agent Index	53	40	Codex tem um Coding Agent Index mais alto que Opencode
FrontierCode-AA 2.0	43	21	Codex tem uma pontuação mais alta em FrontierCode-AA 2.0 que Opencode
Terminal-Bench 4.1	58	40	Codex tem uma pontuação mais alta em Terminal-Bench 4.1 que Opencode
SWE-Atlas-QnA-AA	59	59	Ambos os agentes têm a mesma pontuação em SWE-Atlas-QnA-AA
Custo por tarefa	$7.63	$5.41	Opencode tem um custo por tarefa mais baixo que Codex
Tempo por tarefa	26.0m	52.8m	Codex tem um tempo por tarefa mais baixo que Opencode
Turnos por tarefa	40.8	114	Codex tem menos turnos por tarefa que Opencode
Uso de tokens por tarefa	3.47M	17.7M	Codex tem um uso de tokens por tarefa mais baixo que Opencode
Taxa de acertos de cache	93%	97%	Opencode tem uma taxa de acertos de cache mais alta que Codex

Modelos

Modelos avaliados para Codex e Opencode.


Codex	GPT-6 Astra (Max)	max	53	43	58	59	$7.63	26.0m	3.47M
Codex	GPT-6.1 Sol (Max)	max	52	42	54	60	$1.51	21.9m	4.33M
Codex	GPT-6.1 Terra (Max)	max	49	41	51	54	$1.53	28.1m	14.4M
Codex	GPT-6 Luna (Max)	max	26	24	15	38	$0.19	23.5m	10.1M
Opencode	GLM-5.3 (Max)	max	40	21	40	59	$5.41	52.8m	17.7M

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

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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)

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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

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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

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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

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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

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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.

Codex vs. Opencode

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