Claude Code vs. Codex

Comparison between Claude Code and Codex across the Artificial Analysis Coding Agent Index, including benchmark scores, cost, execution time, and token usage.

For details relating to our methodology, see our methodology page.

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Coding Agent Index

Artificial Analysis Coding Agent Index v2.0 · Higher is better

Time per Task

Average agent wall time per task · Lower is better

Cost per Task

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

Comparison

Side-by-side comparison of Claude Code and Codex.

Coding Agent Comparison

Metric
Claude Code
Claude Opus 5.5 (Max, Default Fallback)
Codex
GPT-6 Astra (Max)
Analysis
Agent Harness
Claude Code
Codex
Representative Model
Claude Opus 5.5 (Max, Default Fallback)
GPT-6 Astra (Max)
Coding Agent Index
62
55
Claude Code has a higher Coding Agent Index than Codex
FrontierCode v1.1
56%
49%
Claude Code has a higher FrontierCode v1.1 score than Codex
Terminal-Bench 4.0
63%
56%
Claude Code has a higher Terminal-Bench 4.0 score than Codex
SWE-Atlas-QnA-AA
66%
59%
Claude Code has a higher SWE-Atlas-QnA-AA score than Codex
Cost per Task
$11.42
$7.04
Codex has a lower cost per task than Claude Code
Time per Task
1.0h
24.8m
Codex has a lower time per task than Claude Code
Turns per Task
146.4
39.4
Codex has a lower turns per task than Claude Code
Token Usage per Task
14.5M
3.2M
Codex has a lower token usage per task than Claude Code
Cache Hit Rate
95%
93%
Claude Code has a higher cache hit rate than Codex

Model Variants

Evaluated model variants for Claude Code and Codex.

Model Variants

Claude Code
Claude Opus 5.5 (Max, Default Fallback)
62
56%
63%
66%
$11.42
1.0h
14.5M
Claude Code
Claude Sonnet 5.5 (Max, Default Fallback)
59
48%
66%
64%
$13.30
1.3h
24.1M
Claude Code
Claude Fable 5.1 (Max, Default Fallback)
58
49%
58%
66%
$11.53
35.3m
6M
Claude Code
Step 5 Preview
43
40%
30%
59%
$1.84
1.0h
22.1M
Claude Code
Qwen3.8 Max
39
45%
17%
56%
$3.80
1.3h
9.2M
Claude Code
Claude Haiku 5.5 (Max)
37
47%
31%
34%
$2.67
1.2h
16.1M
Codex
GPT-6 Astra (Max)
55
49%
56%
59%
$7.04
24.8m
3.2M
Codex
GPT-6.1 Sol (Max)
54
49%
53%
60%
$1.50
23.7m
3.9M
Codex
GPT-6.1 Terra (Xhigh)
48
45%
46%
54%
$0.69
16.4m
6.9M
Codex
GPT-6.1 Terra (Max)
48
42%
48%
54%
$1.24
26.1m
12.3M
Codex
DeepSeek V4.1 Flash (Max)
47
53%
28%
61%
$0.39
38.1m
27.2M
Codex
GPT-6.1 Terra (High)
46
43%
42%
53%
$0.54
12.7m
5.6M
Codex
GPT-6.1 Terra (Medium)
42
44%
35%
47%
$0.39
10.2m
4.1M
Codex
GPT-6.1 Terra (Non-reasoning)
39
46%
25%
46%
$0.45
9.5m
5.8M
Codex
GPT-6.1 Terra (Low)
35
41%
25%
39%
$0.20
6.3m
1.9M
Codex
GPT-6 Luna (Max)
31
40%
16%
38%
$0.16
21.3m
8.9M

Performance

Performance across the Artificial Analysis Coding Agent Index.

Artificial Analysis Coding Agent Index

Artificial Analysis Coding Agent Index v2.0 incorporates 3 benchmarks: FrontierCode v1.1, Terminal-Bench 4.0, and SWE-Atlas-QnA-AA · Higher is better
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Artificial Analysis Coding Agent Index vs. Cost per Task

Artificial Analysis Coding Agent Index vs. average pay-per-token API cost per task (USD)
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Most attractive quadrant
Pareto line

Token Usage

Token consumption across the Artificial Analysis Coding Agent Index.

Token Usage per Task

Average input, cache, and output tokens per task
Prompt cache hit rates can vary significantly by provider routing, which can materially change effective cost.

Artificial Analysis Coding Agent Index vs. Total Tokens

Artificial Analysis Coding Agent Index vs. average total tokens per task
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Most attractive quadrant

Cost

Pay-per-token API cost across the Artificial Analysis Coding Agent Index, based on current per-token pricing.

Cost per Task

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

Active agent runtime across the Artificial Analysis Coding Agent Index.

Time per Task

Average agent wall time per task · Lower is better
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Artificial Analysis Coding Agent Index vs. Execution Time

Artificial Analysis Coding Agent Index vs. average agent wall time per task
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Most attractive quadrant