Lyria 3.5 vs GPT-5.2
At a Glance
| Compare | Lyria 3.5Google DeepMind | GPT-5.2OpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #33 of 4649.3 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #28 of 44$0.161 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #34 of 3844.0 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.75Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $14.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,049K | 400K |
| Model facts checked | Sep 22, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Lyria 3.5 | GPT-5.2 |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Family | Lyria | Gpt 5 2 |
| Model | Lyria 3.5 | GPT-5.2 |
| Version | Lyria 3.5 | GPT-5.2 |
| Lifecycle | active | active |
| Released | 2026-07-29 | 2025-12-11 |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text, Audio | Text |
| Context window | 1,049K | 400K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | generation, image-to-music, lyrics, music-generation, synthid, vocals | chat, generation, reasoning, structured_outputs, tools |
Lyria 3.5 Capabilities
GPT-5.2 Capabilities
Primary Evidence
Sources and Freshness
Questions
Lyria 3.5 vs GPT-5.2 FAQs
Is Lyria 3.5 or GPT-5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Lyria 3.5 and GPT-5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Lyria 3.5 or GPT-5.2?+
Only GPT-5.2 has a directly sourced input price: $1.75 per million tokens. Only GPT-5.2 has a directly sourced output price: $14.00 per million tokens.
Which has a larger context window, Lyria 3.5 or GPT-5.2?+
Lyria 3.5 has the larger sourced context window. Lyria 3.5 supports 1,049K and GPT-5.2 supports 400K.
Which performs better in benchmarks, Lyria 3.5 or GPT-5.2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Lyria 3.5 or GPT-5.2 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Lyria 3.5 is not marked open weight; GPT-5.2 is not marked open weight.
Can Lyria 3.5 and GPT-5.2 understand images?+
Lyria 3.5 is documented with image input; GPT-5.2 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Lyria 3.5 or GPT-5.2?+
GPT-5.2 has the larger sourced maximum output: Lyria 3.5 supports 66K and GPT-5.2 supports 128K output tokens.
Do Lyria 3.5 and GPT-5.2 support reasoning and tool use?+
Lyria 3.5: image input. GPT-5.2: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Lyria 3.5 or GPT-5.2?+
Lyria 3.5 has 2 sourced provider routes; GPT-5.2 has 2, a tie.
Which offers better value, Lyria 3.5 or GPT-5.2?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.