Codex vs. Muse Code

Comparison between Codex and Muse Code 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.

Explore other comparisons
vs
Artificial Analysis Coding Agent Index v2.0 · Higher is better
Average agent wall time per task · Lower is better
Average API cost per task (USD) · Lower is better

Comparison

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

Coding Agent Comparison

Metric
Codex
GPT-6 Astra (Max)
Muse Code
Muse Wonder Full (Max)
Analysis
Agent Harness
Codex
Muse Code
Representative Model
GPT-6 Astra (Max)
Muse Wonder Full (Max)
Coding Agent Index
55
59
Muse Code has a higher Coding Agent Index than Codex
FrontierCode v1.1
49%
49%
Codex has a higher FrontierCode v1.1 score than Muse Code
Terminal-Bench 4.0
56%
59%
Muse Code has a higher Terminal-Bench 4.0 score than Codex
SWE-Atlas-QnA-AA
59%
69%
Muse Code has a higher SWE-Atlas-QnA-AA score than Codex
Cost per Task
$7.04
$0.00
Comparison not available
Time per Task
24.8m
34.9m
Codex has a lower time per task than Muse Code
Turns per Task
39.4
194.9
Codex has a lower turns per task than Muse Code
Token Usage per Task
3.23M
14.5M
Codex has a lower token usage per task than Muse Code
Cache Hit Rate
93%
96%
Muse Code has a higher cache hit rate than Codex

Model Variants

Evaluated model variants for Codex and Muse Code.

Model Variants

Codex
GPT-6 Astra (Max)
max
55
49%
56%
59%
$7.04
24.8m
3.23M
Codex
GPT-6.1 Sol (Max)
max
54
49%
53%
60%
$1.50
23.7m
3.94M
Codex
GPT-6.1 Terra (Xhigh)
xhigh
48
45%
46%
54%
$0.69
16.4m
6.89M
Codex
GPT-6.1 Terra (Max)
max
48
42%
48%
54%
$1.24
26.1m
12.3M
Codex
DeepSeek V4.1 Flash (Max)
max
47
53%
28%
61%
$0.39
38.1m
27.2M
Codex
GPT-6.1 Terra (High)
high
46
43%
42%
53%
$0.54
12.7m
5.6M
Codex
GPT-6.1 Terra (Medium)
medium
42
44%
35%
47%
$0.39
10.2m
4.08M
Codex
GPT-6.1 Terra (Non-reasoning)
non-reasoning
39
46%
25%
46%
$0.45
9.5m
5.78M
Codex
GPT-6.1 Terra (Low)
low
35
41%
25%
39%
$0.20
6.3m
1.89M
Codex
GPT-6 Luna (Max)
max
31
40%
16%
38%
$0.16
21.3m
8.89M
Muse Code
Muse Wonder Full (Max)
max
59
49%
59%
69%
$0.00
34.9m
14.5M
Muse Code
Muse Wonder (Max)
max
52
46%
48%
62%
$8.05
24.5m
14.5M
Muse Code
Muse Spark 1.3 (Max)
max
46
47%
32%
59%
$3.91
23.3m
17.8M
Muse Code
Muse Spark Open (Xhigh)
xhigh
26
23%
6%
51%
$3.54
26.0m
13.3M

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

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
Color by
Most attractive quadrant