Model comparison
GPT-5.2 vs GPT-5.4 nano
Head-to-head evidence from 17 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.2 #64 (Estimated); GPT-5.4 nano #25 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2 and GPT-5.4 nano share 17 comparable benchmark results. 4 of 8 categories are comparable. 11 results are unique to GPT-5.2; 12 to GPT-5.4 nano.
Updated July 23, 2026- Shared results
- 17
- GPT-5.2 only
- 11
- GPT-5.4 nano only
- 12
- Comparable categories
- 4 / 8
Pick GPT-5.4 nano if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 7 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-5.4 nano is clearly ahead on the BenchAlign aggregate, 66.79 to 58.43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.20 input / $1.25 output per 1M tokens for GPT-5.4 nano. That is roughly 11.2x on output cost alone.
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 | Δ | GPT-5.4 nano |
|---|---|---|---|
| Knowledge | GPT-5.292.4 | Margin← 48.6 | GPT-5.4 nano43.8 |
| Multimodal | GPT-5.280.4 | Margin← 14.3 | GPT-5.4 nano66.1 |
| Math | GPT-5.235.2 | Margin← 14.2 | GPT-5.4 nano21.0 |
| Agentic | GPT-5.255.7 | Margin← 12.8 | GPT-5.4 nano42.9 |
| Coding | GPT-5.270.6 | MarginNo overlap | GPT-5.4 nanoNot measured |
| Reasoning | GPT-5.252.9 | MarginNo overlap | GPT-5.4 nanoNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 40.700%B 25.860%Winner: GPT-5.2Δ 14.8FrontierMath v2 (Tiers 1-3): GPT-5.2 scored 40.700%; GPT-5.4 nano scored 25.860%. GPT-5.2 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 79.5%B 66.1%Winner: GPT-5.2Δ 13.4MMMU-Pro: GPT-5.2 scored 79.5%; GPT-5.4 nano scored 66.1%. GPT-5.2 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 18.800%B 6.250%Winner: GPT-5.2Δ 12.6FrontierMath v2 (Tier 4): GPT-5.2 scored 18.800%; GPT-5.4 nano scored 6.250%. GPT-5.2 wins this benchmark. - Source ↗
GPQA
KnowledgeA 92.4%B 82.8%Winner: GPT-5.2Δ 9.6GPQA: GPT-5.2 scored 92.4%; GPT-5.4 nano scored 82.8%. GPT-5.2 wins this benchmark. - Source ↗
OSWorld-Verified
AgenticA 47.3%B 39%Winner: GPT-5.2Δ 8.3OSWorld-Verified: GPT-5.2 scored 47.3%; GPT-5.4 nano scored 39%. GPT-5.2 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.2 | GPT-5.4 nano | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2$1.75 input / $14 output | GPT-5.4 nano$0.2 input / $1.25 output | GPT-5.4 nano has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.273 tok/s | GPT-5.4 nano191 tok/s | GPT-5.4 nano has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-5.2130.34 s | GPT-5.4 nano3.64 s | GPT-5.4 nano reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-5.2400K | GPT-5.4 nano400K | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGPT-5.2 wins12 benchmarks
| Benchmark | GPT-5.2 | GPT-5.4 nano | Result |
|---|---|---|---|
| BrowseCompSource | 65.8% | — | Not comparable |
| OSWorld-VerifiedSource | 47.3% | 39% | GPT-5.2 leads |
| τ²-bench resultsSource | 84.8% | 76% | GPT-5.2 leads |
| Gert LabsSource | 46.54% | — | Not comparable |
| JobBenchSource | 34.3% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 46.3% | Not comparable |
| MCP AtlasSource | — | 56.1% | Not comparable |
| ToolathlonSource | — | 35.5% | Not comparable |
| AA Agentic IndexSource | — | 27.5% | Not comparable |
| APEX-Agents-AASource | — | 24.9% | Not comparable |
| GDPval-AASource | — | 30.0% | Not comparable |
| GDPval-AASource | — | 1100 | Not comparable |
Coding5 benchmarks
Reasoning3 benchmarks
KnowledgeGPT-5.2 wins9 benchmarks
| Benchmark | GPT-5.2 | GPT-5.4 nano | Result |
|---|---|---|---|
| GPQASource | 92.4% | 82.8% | GPT-5.2 leads |
| Artificial Analysis Intelligence IndexSource | 42.2% | 38.2% | GPT-5.2 leads |
| AA-GPQA DiamondSource | 90.3% | 81.7% | GPT-5.2 leads |
| AA-HLESource | 35.4% | 26.5% | GPT-5.2 leads |
| AA-Omniscience IndexSource | -1.0% | -29.5% | GPT-5.2 leads |
| AA-Omniscience AccuracySource | 43.8% | 25.4% | GPT-5.2 leads |
| AA-Omniscience Hallucination RateSource | 79.7% | 73.6% | GPT-5.4 nano leads |
| HLESource | — | 37.7% | Not comparable |
| HLE w/o toolsSource | — | 24.3% | Not comparable |
MathGPT-5.2 wins3 benchmarks
MultimodalGPT-5.2 wins7 benchmarks
| Benchmark | GPT-5.2 | GPT-5.4 nano | Result |
|---|---|---|---|
| MMMU-ProSource | 79.5% | 66.1% | GPT-5.2 leads |
| MathVisionSource | 83.0% | — | Not comparable |
| CharXivSource | 82.1% | — | Not comparable |
| V*Source | 75.9% | — | Not comparable |
| Design Arena WebsiteSource | 1224 | — | Not comparable |
| MMMU-Pro w/ PythonSource | — | 69.5% | Not comparable |
| AA-MMMU-ProSource | — | 65.4% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.2 | GPT-5.4 nano | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.4% | 75.9% | GPT-5.4 nano leads |
Frequently Asked Questions (5)
Which is better, GPT-5.2 or GPT-5.4 nano?
GPT-5.4 nano is ahead on BenchLM's BenchAlign leaderboard, 66.79 to 58.43. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 40.700% and 25.860%.
Which is better for knowledge tasks, GPT-5.2 or GPT-5.4 nano?
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 43.8. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.2 or GPT-5.4 nano?
GPT-5.2 has the edge for math in this comparison, averaging 35.2 versus 21. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.2 or GPT-5.4 nano?
GPT-5.2 has the edge for agentic tasks in this comparison, averaging 55.7 versus 42.9. Inside this category, τ²-bench results is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.2 or GPT-5.4 nano?
GPT-5.2 has the edge for multimodal and grounded tasks in this comparison, averaging 80.4 versus 66.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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