GPT-5.3 Codex
openai/gpt-5.3-codex
frontier coding model.
cmd --model gpt-5.3-codex
Intelligence index
36.9
Output speed
143.1 tok/s
Input
$2 /M
Output
$8 /M
Cache read
$0.50 /M
Agent-loop cost
$0.95 /M in
Context window
400K tokens
Released
February 5, 2026
Modalities
→
vs. the lineup
GPT-5.3 Codex beside its stablemates and nearest rivals. The ◆ marks the best value in each column across every row shown.
pin a rival:
| Model | Intelligence | Coding | Speed | Input $/M | Output $/M | Blended $/M | Context |
|---|---|---|---|---|---|---|---|
| GPT-6 Astra | 54.7◆ | 76.9◆ | 63.4◆ | $10◆ | $50◆ | $20◆ | 1.05M◆ |
| GPT-5.6 Sol | 51.3◆ | 77.4◆ | 73.4◆ | $5◆ | $30◆ | $11.25◆ | 1.05M◆ |
| GPT-5.6 Terra | 46.8◆ | 76.7◆ | 121.2◆ | $2◆ | $12◆ | $4.50◆ | 1.05M◆ |
| GPT-5.5 | 45.6◆ | 74.9◆ | —◆ | $5◆ | $30◆ | $11.25◆ | 400K◆ |
| GPT-5.6 Luna | 43.4◆ | 71.4◆ | 116.7◆ | $0.20◆ | $1.20◆ | $0.45◆ | 1.05M◆ |
| GPT-5.3 Codex ◆ | 36.9◆ | —◆ | 143.1◆ | $2◆ | $8◆ | $3.50◆ | 400K◆ |
| DeepSeek V4 Pro (latest)pinned | 42.1◆ | 68.8◆ | 62.1◆ | $0.66◆ | $1.98◆ | $0.99◆ | 1M◆ |
| DeepSeek V4 Flash (latest)pinned | 41◆ | 69.1◆ | 117.7◆ | $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-5.3 Codex has been left empty.
IFBench
75.4
instruction following
Intelligence Index
36.9
#34 of 59 scored
Long-context reasoning
83.3
reasoning across a long context
GPQA Diamond
91.5
graduate-level QA
usage calculator
How far a month of credits goes on GPT-5.3 Codex.
GPT-5.3 Codex runs on Pro and up — from $20/mo.
Input tokensfresh prompt
800Output tokensmodel reply
180Cache read tokensre-read context
50Kcost / request $0.028 · in $2 · out $8 · cache $0.50 per M
fresh input 6%output 5%cache reads 89%
Requests / 30 days
713
$20 credits ÷ $0.028 per request
~143 quick fixes~29 bug fixes~5 feature PRs
what real work costs
Real coding tasks priced end to end on GPT-5.3 Codex, from a quick lookup to a full-repo agent run.
One agent task
$0.25
180K in at 75% cache hit, 12K out
What you pay
$1.32 /M
all-in across every token that task touched
Sticker input
$2 /M
cache reads bill at $0.50 /M instead
| Task | Tokens in · out | GPT-5.3 Codex | Muse Spark 1.3 | Claude Haiku 4.5 |
|---|---|---|---|---|
| Quick lookup / one-liner | 8K · 1K | $0.01 | $0.0063 | $0.0065 |
| Review a 500-line PR | 60K · 4K | $0.09 | $0.05 | $0.04 |
| Fix a bug (agent loop) | 180K · 12K | $0.25 | $0.13 | $0.12 |
| Refactor a module | 320K · 20K | $0.45 | $0.23 | $0.21 |
| Full-repo agent run | 900K · 45K | $1.11 | $0.54 | $0.49 |
frequently asked
How much does GPT-5.3 Codex cost?
$2/M input and $8/M output, cache reads $0.50/M. In an agent loop most input is cache-read, so the effective input rate is about $0.95/M.Which plan do I need?
Available on Pro and above.
How do I switch to it?
Run
cmd --model gpt-5.3-codex, 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-5-3-codex