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Comparison of Seed-2.0-code, Topaz Denoise Image, AssemblyAI: Universal-3.5 Pro
3 modelsByteDanceSeed-2.0-codeRemove ×topazTopaz Denoise ImageRemove ×assemblyaiAssemblyAI: Universal-3.5 ProRemove ×
What’s differentA coding model optimized for real-world development environments, with reliable tool use in common IDEs such as Claude Code. It delivers strong front-end performance and supports Skills.Professional photo denoising powered by Topaz Labs. Normal, Strong and Extreme presets clean noise at source resolution; Denoise Max adds generative detail recovery. Best for high-ISO and night photography.Universal-3.5 Pro is AssemblyAI's speech-to-text model served through its Sync API, returning a complete transcript with word-level timestamps in a single synchronous response for audio up to 20 minutes. It...
DateApr 29, 2026ListedAug 11, 2026ListedSep 22, 2026Listed
Listed rate$0.50 in / $3.00 out/ 1M tokensDeepInfra · all routes ↗See provider quotes$83.3333 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →0 endpoints →1 endpoint →
AMI-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported10.63% WER ↗assemblyai/universal-3-5-proLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversionedNot reportedNot reported6.05% WER ↗assemblyai/universal-3-5-proLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported7.62% WER ↗assemblyai/universal-3-5-proLeaderboard entry
LS Clean WER ↗English short-form; normalization unversionedNot reportedNot reported1.1% WER ↗assemblyai/universal-3-5-proLeaderboard entry
LS Other WER ↗English short-form; normalization unversionedNot reportedNot reported2.11% WER ↗assemblyai/universal-3-5-proLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversionedNot reportedNot reported1.81% WER ↗assemblyai/universal-3-5-proLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reportedNot reported9.08% WER ↗assemblyai/universal-3-5-proLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversionedNot reportedNot reported3.49% WER ↗assemblyai/universal-3-5-proLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported1.92% WER ↗assemblyai/universal-3-5-proLeaderboard entry
Context window256K——
Max output———
Parameters———
Audio inputNot reportedNot reportedSupported
TranscriptionNot reportedNot reportedSupported

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