Claude Opus 4.8 vs Lyria 3.5
At a Glance
| Compare | Claude Opus 4.8Anthropic |  Lyria 3.5Google DeepMind |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #18 of 4670.1 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #42 of 44$0.604 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #35 of 3840.5 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,000K | 1,049K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 22, 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 | Claude Opus 4.8 | Lyria 3.5 |
|---|---|---|
| Developer | Anthropic | Google DeepMind |
| Family | Claude 4 8 | Lyria |
| Model | Claude Opus 4.8 | Lyria 3.5 |
| Version | Claude Opus 4.8 | Lyria 3.5 |
| Lifecycle | active | active |
| Released | 2026-05-28 | 2026-07-29 |
| Knowledge cutoff | 2026-01-01 | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text, Audio |
| Context window | 1,000K | 1,049K |
| 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 | Anthropic (Standard), Deepinfra (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, reasoning, tools | generation, image-to-music, lyrics, music-generation, synthid, vocals |
Claude Opus 4.8 Capabilities
Lyria 3.5 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.8 vs Lyria 3.5 FAQs
Is Claude Opus 4.8 or Lyria 3.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.8 and Lyria 3.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.8 or Lyria 3.5?+
Only Claude Opus 4.8 has a directly sourced input price: $5.00 per million tokens. Only Claude Opus 4.8 has a directly sourced output price: $25.00 per million tokens.
Which has a larger context window, Claude Opus 4.8 or Lyria 3.5?+
Lyria 3.5 has the larger sourced context window. Claude Opus 4.8 supports 1,000K and Lyria 3.5 supports 1,049K.
Which performs better in benchmarks, Claude Opus 4.8 or Lyria 3.5?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Opus 4.8 or Lyria 3.5 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.8 is not marked open weight; Lyria 3.5 is not marked open weight.
Can Claude Opus 4.8 and Lyria 3.5 understand images?+
Claude Opus 4.8 is documented with image input; Lyria 3.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.8 or Lyria 3.5?+
Claude Opus 4.8 has the larger sourced maximum output: Claude Opus 4.8 supports 128K and Lyria 3.5 supports 66K output tokens.
Do Claude Opus 4.8 and Lyria 3.5 support reasoning and tool use?+
Claude Opus 4.8: reasoning, tool calling, and image input. Lyria 3.5: image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.8 or Lyria 3.5?+
Claude Opus 4.8 has 2 sourced provider routes; Lyria 3.5 has 2, a tie.
Which offers better value, Claude Opus 4.8 or Lyria 3.5?+
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.