Model comparison
GPT-5.5 Pro vs Nova Pro
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.5 Pro #38 (Estimated); Nova Pro #196 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 Pro and Nova Pro share 1 comparable benchmark result. 0 of 8 categories are comparable. 6 results are unique to GPT-5.5 Pro; 11 to Nova Pro.
Updated July 22, 2026- Shared results
- 1
- GPT-5.5 Pro only
- 6
- Nova Pro only
- 11
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.5 Pro and Nova Pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.
GPT-5.5 Pro has the larger context window at 1M, compared with 128K for Nova Pro.
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-5.5 Pro | Δ | Nova Pro |
|---|---|---|---|
| Agentic | GPT-5.5 Pro90.1 | MarginNo overlap | Nova ProNot measured |
| Knowledge | GPT-5.5 Pro57.2 | MarginNo overlap | Nova ProNot measured |
| Math | GPT-5.5 Pro48.1 | MarginNo overlap | Nova ProNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.5 Pro | Nova Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5 Pro$30 input / $180 output | Nova ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.5 ProNot available | Nova Pro141 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5 ProNot available | Nova Pro0.81 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.5 Pro1M | Nova Pro128K | GPT-5.5 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding1 benchmarks
| Benchmark | GPT-5.5 Pro | Nova Pro | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 20.8% | Not comparable |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | GPT-5.5 Pro | Nova Pro | Result |
|---|---|---|---|
| HLESource | 57.2% | — | Not comparable |
| HLE w/o toolsSource | 43.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 7.7% | Not comparable |
| AA-GPQA DiamondSource | — | 49.9% | Not comparable |
| AA-HLESource | — | 3.4% | Not comparable |
| AA-Omniscience IndexSource | — | -47.6% | Not comparable |
| AA-Omniscience AccuracySource | — | 17.0% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 77.9% | Not comparable |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | GPT-5.5 Pro | Nova Pro | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 44.3% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.5 Pro | Nova Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 38.1% | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5.5 Pro and Nova Pro 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-5.5 Pro and Nova Pro today?
GPT-5.5 Pro: $30.00 input / $180.00 output per 1M tokens Nova Pro: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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