GPT-6 Luna
openai/gpt-6-luna
most efficient OpenAI model for focused, high-volume tasks.
cmd --model gpt-6-luna
Intelligence index
37.3
Coding index
not yet scored
Input
$0.10 /M
Output
$0.50 /M
Cache read
$0.01 /M
Agent-loop cost
$0.04 /M in
Context window
1.05M tokens
Released
September 22, 2026
Modalities
→
vs. the lineup
GPT-6 Luna beside its stablemates and nearest rivals. The ◆ marks the best value in each column across every row shown.
pin a rival:
| Model | Intelligence | Coding | Input $/M | Output $/M | Blended $/M | Context |
|---|---|---|---|---|---|---|
| GPT-6 Astra | 52.7◆ | 76.9◆ | $10◆ | $50◆ | $20◆ | 1.05M◆ |
| GPT-6.1 Sol | 51.8◆ | —◆ | $2◆ | $10◆ | $4◆ | 1.05M◆ |
| GPT-6 Sol | 47.5◆ | —◆ | $2◆ | $10◆ | $4◆ | 1.05M◆ |
| GPT-5.6 Sol | 47◆ | 77.4◆ | $5◆ | $30◆ | $11.25◆ | 1.05M◆ |
| GPT-5.6 Terra | 42.1◆ | 76.7◆ | $2◆ | $12◆ | $4.50◆ | 1.05M◆ |
| GPT-6 Luna ◆ | 37.3◆ | —◆ | $0.10◆ | $0.50◆ | $0.20◆ | 1.05M◆ |
| DeepSeek V4 Pro (latest)pinned | 36◆ | 68.8◆ | $0.66◆ | $1.98◆ | $0.99◆ | 1M◆ |
| DeepSeek V4 Flash (latest)pinned | 34◆ | 69.1◆ | $0.15◆ | $0.60◆ | $0.26◆ | 1M◆ |
coding performance
The Intelligence Index and its sub-scores, ranked against every scored model in the catalog. A metric that has not been measured for GPT-6 Luna has been left empty.
Intelligence Index
37.3
#32 of 68 scored
Long-context reasoning
83.3
reasoning across a long context
SciCode
54.6
scientific coding
price bands
GPT-6 Luna is not billed at one flat rate — the price changes with how much context a request carries. The header quotes the standard band; here is every band.
| Band | Context | Input $/M | Output $/M | Cache read $/M |
|---|---|---|---|---|
| Standard | ≤ 272K | $0.10 | $0.50 | $0.01 |
| Long context | > 272K | $0.20 | $0.75 | $0.02 |
usage calculator
How far a month of credits goes on GPT-6 Luna.
Input tokensfresh prompt
800Output tokensmodel reply
180Cache read tokensre-read context
50Kcost / request $0.0007 · in $0.10 · out $0.50 · cache $0.01 per M
fresh input 12%output 13%cache reads 75%
Requests / 30 days
9.0K
$6 credits ÷ $0.0007 per request
~1.8K quick fixes~358 bug fixes~60 feature PRs
what real work costs
Real coding tasks priced end to end on GPT-6 Luna, from a quick lookup to a full-repo agent run.
One agent task
$0.01
180K in at 75% cache hit, 12K out
What you pay
$0.06 /M
all-in across every token that task touched
Sticker input
$0.10 /M
cache reads bill at $0.01 /M instead
| Task | Tokens in · out | GPT-6 Luna | MiMo V2.6 Flash | Claude Haiku 4.5 |
|---|---|---|---|---|
| Quick lookup / one-liner | 8K · 1K | $0.0007 | $0.0004 | $0.0065 |
| Review a 500-line PR | 60K · 4K | $0.0042 | $0.0038 | $0.04 |
| Fix a bug (agent loop) | 180K · 12K | $0.01 | $0.01 | $0.12 |
| Refactor a module | 320K · 20K | $0.02 | $0.02 | $0.21 |
| Full-repo agent run | 900K · 45K | $0.05 | $0.04 | $0.49 |
frequently asked
How much does GPT-6 Luna cost?
$0.10/M input and $0.50/M output, cache reads $0.01/M. In an agent loop most input is cache-read, so the effective input rate is about $0.04/M.Which plan do I need?
Available on Go and above.
How do I switch to it?
Run
cmd --model gpt-6-luna, or type /model in a session and pick it. You can switch mid-session without losing context.Ship code that matches your taste
Command Code is the AI coding agent that continuously learns your taste. Start for $1.
Benchmarks from Artificial Analysis (v4.3)commandcode.ai/models/gpt-6-luna