Model comparison
GPT-4.1 nano vs Hy3 Preview
Head-to-head evidence from 14 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-4.1 nano #161 (Estimated); Hy3 Preview unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-4.1 nano and Hy3 Preview share 14 comparable benchmark results. 2 of 8 categories are comparable. 7 results are unique to GPT-4.1 nano; 8 to Hy3 Preview.
Updated July 23, 2026- Shared results
- 14
- GPT-4.1 nano only
- 7
- Hy3 Preview only
- 8
- Comparable categories
- 2 / 8
Treat this as a split decision. GPT-4.1 nano makes more sense if instruction following is the priority or you need the larger 1M context window; Hy3 Preview is the better fit if you want the cheaper token bill or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 4 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-4.1 nano and Hy3 Preview finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
GPT-4.1 nano is also the more expensive model on tokens at $0.10 input / $0.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Hy3 Preview. That is roughly Infinityx on output cost alone. Hy3 Preview is the reasoning model in the pair, while GPT-4.1 nano is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-4.1 nano gives you the larger context window at 1M, compared with 256K for Hy3 Preview.
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-4.1 nano | Δ | Hy3 Preview |
|---|---|---|---|
| Inst. Following | GPT-4.1 nano83.2 | Margin← 20.1 | Hy3 Preview63.1 |
| Knowledge | GPT-4.1 nano50.3 | Margin← 16.5 | Hy3 Preview33.8 |
| Agentic | GPT-4.1 nanoNot measured | MarginNo overlap | Hy3 Preview54.4 |
| Coding | GPT-4.1 nanoNot measured | MarginNo overlap | Hy3 Preview57.8 |
| Math | GPT-4.1 nano1.0 | MarginNo overlap | Hy3 PreviewNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 50.3%B 87.2%Winner: Hy3 PreviewΔ 36.9GPQA: GPT-4.1 nano scored 50.3%; Hy3 Preview scored 87.2%. Hy3 Preview wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-4.1 nano | Hy3 Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4.1 nano$0.1 input / $0.4 output | Hy3 Preview$0 input / $0 output | Hy3 Preview has the lower combined listed price. |
| Generation speedtokens per second | GPT-4.1 nano181 tok/s | Hy3 PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-4.1 nano0.63 s | Hy3 PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-4.1 nano1M | Hy3 Preview256K | GPT-4.1 nano lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding5 benchmarks
Reasoning2 benchmarks
KnowledgeGPT-4.1 nano wins10 benchmarks
| Benchmark | GPT-4.1 nano | Hy3 Preview | Result |
|---|---|---|---|
| MMLUSource | 80.1% | — | Not comparable |
| GPQASource | 50.3% | 87.2% | Hy3 Preview leads |
| Artificial Analysis Intelligence IndexSource | 9.6% | 41.2% | Hy3 Preview leads |
| AA-GPQA DiamondSource | 51.2% | 89.7% | Hy3 Preview leads |
| AA-HLESource | 3.9% | 31.6% | Hy3 Preview leads |
| AA-Omniscience IndexSource | -56.4% | -18.5% | Hy3 Preview leads |
| AA-Omniscience AccuracySource | 13.3% | 31.5% | Hy3 Preview leads |
| AA-Omniscience Hallucination RateSource | 80.4% | 73.0% | Hy3 Preview leads |
| GPQA-DSource | — | 87.2% | Not comparable |
| HLESource | — | 25.5% | Not comparable |
Math1 benchmarks
| Benchmark | GPT-4.1 nano | Hy3 Preview | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 1.034% | — | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (3)
Which is better, GPT-4.1 nano or Hy3 Preview?
GPT-4.1 nano and Hy3 Preview are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, GPT-4.1 nano or Hy3 Preview?
GPT-4.1 nano has the edge for knowledge tasks in this comparison, averaging 50.3 versus 33.8. Inside this category, AA-GPQA Diamond is the benchmark that creates the most daylight between them.
Which is better for instruction following, GPT-4.1 nano or Hy3 Preview?
GPT-4.1 nano has the edge for instruction following in this comparison, averaging 83.2 versus 63.1. Hy3 Preview stays close enough that the answer can still flip depending on your workload.
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