Model comparison
GPT-5 (medium) vs Hy3
Head-to-head evidence from 10 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5 (medium) #84 (Supported); Hy3 #80 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5 (medium) and Hy3 share 10 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to GPT-5 (medium); 4 to Hy3.
Updated July 23, 2026- Shared results
- 10
- GPT-5 (medium) only
- 4
- Hy3 only
- 4
- Comparable categories
- 0 / 8
Benchmark data for GPT-5 (medium) and Hy3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 10 shared benchmark results across 4 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.
Hy3 has the larger context window at 256K, compared with 128K for GPT-5 (medium).
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5 (medium) | Hy3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5 (medium)Not available | Hy3$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5 (medium)83 tok/s | Hy3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5 (medium)36.28 s | Hy3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5 (medium)128K | Hy3256K | Hy3 lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-5 (medium) | Hy3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 33.7% | 41.2% | Hy3 leads |
| AA-GPQA DiamondSource | 84.2% | 89.7% | Hy3 leads |
| AA-HLESource | 23.5% | 31.6% | Hy3 leads |
| AA-Omniscience IndexSource | -10.1% | -18.5% | GPT-5 (medium) leads |
| AA-Omniscience AccuracySource | 38.9% | 31.5% | GPT-5 (medium) leads |
| AA-Omniscience Hallucination RateSource | 80.1% | 73.0% | Hy3 leads |
Math1 benchmarks
| Benchmark | GPT-5 (medium) | Hy3 | Result |
|---|---|---|---|
| AA MATH-500Source | 99.1% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5 (medium) | Hy3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 70.6% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5 (medium) and Hy3 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 (medium) and Hy3 today?
GPT-5 (medium): Pricing unavailable Hy3: $0.00 input / $0.00 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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