Model comparison
GPT-5.2-Codex vs GPT-5.3 Codex
Head-to-head evidence from 15 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.2-Codex #58 (Supported); GPT-5.3 Codex #26 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2-Codex and GPT-5.3 Codex share 15 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GPT-5.2-Codex; 6 to GPT-5.3 Codex.
Updated July 20, 2026- Shared results
- 15
- GPT-5.2-Codex only
- 0
- GPT-5.3 Codex only
- 6
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.2-Codex and GPT-5.3 Codex is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | GPT-5.2-Codex | Δ | GPT-5.3 Codex |
|---|---|---|---|
| Agentic | GPT-5.2-CodexNot measured | MarginNo overlap | GPT-5.3 Codex71.4 |
| Coding | GPT-5.2-CodexNot measured | MarginNo overlap | GPT-5.3 Codex67.2 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.2-Codex | GPT-5.3 Codex | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2-Codex$1.75 input / $14 output | GPT-5.3 Codex$1.75 input / $14 output | Listed prices are equal. |
| Generation speedtokens per second | GPT-5.2-Codex123 tok/s | GPT-5.3 Codex79 tok/s | GPT-5.2-Codex has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-5.2-Codex87.34 s | GPT-5.3 Codex88.26 s | GPT-5.2-Codex reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-5.2-Codex400K | GPT-5.3 Codex400K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-5.2-Codex | GPT-5.3 Codex | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 40.1% | 44.3% | GPT-5.3 Codex leads |
| AA-GPQA DiamondSource | 89.9% | 91.5% | GPT-5.3 Codex leads |
| AA-HLESource | 33.5% | 39.9% | GPT-5.3 Codex leads |
| AA-Omniscience IndexSource | -2.5% | 9.9% | GPT-5.3 Codex leads |
| AA-Omniscience AccuracySource | 40.7% | 51.8% | GPT-5.3 Codex leads |
| AA-Omniscience Hallucination RateSource | 72.8% | 86.9% | GPT-5.2-Codex leads |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.2-Codex | GPT-5.3 Codex | Result |
|---|---|---|---|
| AA-IFBenchSource | 77.6% | 75.4% | GPT-5.2-Codex leads |
Frequently Asked Questions (3)
Can I compare GPT-5.2-Codex and GPT-5.3 Codex on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5.2-Codex and GPT-5.3 Codex today?
GPT-5.2-Codex: $1.75 input / $14.00 output per 1M tokens GPT-5.3 Codex: $1.75 input / $14.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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