Compare · ModelsLive · 2 picked · head to head
GPT-5.4 vs GPT-5.3-Codex
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.4 wins on 6/7 benchmarks
GPT-5.4 wins 6 of 7 shared benchmarks. Leads in speed · agentic · knowledge.
Category leads
speed·GPT-5.4agentic·GPT-5.4knowledge·GPT-5.4coding·GPT-5.4
Hype vs Reality
Attention vs performance
GPT-5.4
#44 by perf·no signal
GPT-5.3-Codex
#84 by perf·no signal
Best value
GPT-5.4
1.0x better value than GPT-5.3-Codex
GPT-5.4
6.7 pts/$
$8.75/M
GPT-5.3-Codex
6.6 pts/$
$7.88/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
7 benchmarks · 2 models
GPT-5.4GPT-5.3-Codex
Artificial Analysis · Agentic Index
GPT-5.4 leads by +7.2
GPT-5.4
69.4
GPT-5.3-Codex
62.2
Artificial Analysis · Coding Index
GPT-5.4 leads by +4.1
GPT-5.4
57.3
GPT-5.3-Codex
53.1
Artificial Analysis · Quality Index
GPT-5.4 leads by +3.2
GPT-5.4
57.2
GPT-5.3-Codex
54.0
APEX-Agents
GPT-5.4 leads by +4.2
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
GPT-5.4
35.9
GPT-5.3-Codex
31.7
PostTrainBench
GPT-5.4 leads by +2.5
GPT-5.4
20.2
GPT-5.3-Codex
17.8
SWE-Bench verified
GPT-5.4 leads by +2.1
GPT-5.4
76.9
GPT-5.3-Codex
74.8
WeirdML
GPT-5.3-Codex leads by +21.9
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
GPT-5.4
57.4
GPT-5.3-Codex
79.3
Full benchmark table
| Benchmark | GPT-5.4 | GPT-5.3-Codex |
|---|---|---|
Artificial Analysis · Agentic Index | 69.4 | 62.2 |
Artificial Analysis · Coding Index | 57.3 | 53.1 |
Artificial Analysis · Quality Index | 57.2 | 54.0 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 35.9 | 31.7 |
PostTrainBench | 20.2 | 17.8 |
SWE-Bench verified | 76.9 | 74.8 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 57.4 | 79.3 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $2.50 | $15.00 | 1.1M tokens (~525 books) | $56.25 | |
| $1.75 | $14.00 | 400K tokens (~200 books) | $48.13 |