Compare · ModelsLive · 2 picked · head to head
Claude Opus 4.6 vs GPT-5.3-Codex
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Opus 4.6 wins on 3/5 benchmarks
Claude Opus 4.6 wins 3 of 5 shared benchmarks. Leads in agentic · knowledge.
Category leads
agentic·Claude Opus 4.6knowledge·Claude Opus 4.6coding·GPT-5.3-Codex
Hype vs Reality
Attention vs performance
Claude Opus 4.6
#54 by perf·#4 by attention
GPT-5.3-Codex
#84 by perf·no signal
Best value
GPT-5.3-Codex
1.7x better value than Claude Opus 4.6
Claude Opus 4.6
3.8 pts/$
$15.00/M
GPT-5.3-Codex
6.6 pts/$
$7.88/M
Vendor risk
Who is behind the model
Anthropic
$380.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
5 benchmarks · 2 models
Claude Opus 4.6GPT-5.3-Codex
APEX-Agents
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Claude Opus 4.6
31.7
GPT-5.3-Codex
31.7
PostTrainBench
Claude Opus 4.6 leads by +5.4
Claude Opus 4.6
23.2
GPT-5.3-Codex
17.8
SWE-Bench verified
Claude Opus 4.6 leads by +3.9
Claude Opus 4.6
78.7
GPT-5.3-Codex
74.8
Terminal Bench
GPT-5.3-Codex leads by +2.6
Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency.
Claude Opus 4.6
74.7
GPT-5.3-Codex
77.3
WeirdML
GPT-5.3-Codex leads by +1.4
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Opus 4.6
77.9
GPT-5.3-Codex
79.3
Full benchmark table
| Benchmark | Claude Opus 4.6 | GPT-5.3-Codex |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 31.7 | 31.7 |
PostTrainBench | 23.2 | 17.8 |
SWE-Bench verified | 78.7 | 74.8 |
Terminal Bench Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency. | 74.7 | 77.3 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 77.9 | 79.3 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| Claude Opus 4.6 | $5.00 | $25.00 | 1.0M tokens (~500 books) | $100.00 |
| GPT-5.3-Codex | $1.75 | $14.00 | 400K tokens (~200 books) | $48.13 |