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Comparison of seed-2.0-code, embeddinggemma-2
2 modelsUnknownseed-2.0-codeRemove ×googleembeddinggemma-2Remove ×
What’s different262.1K context · 131.1K max output · Tool calling · Structured outputEmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,…
DateOct 16, 2026DiscoveredOct 8, 2026Listed
Listed rate$0.50 in / $3.00 out/ 1M tokensExperiential · all routes ↗Standard · fewer than 128,001 input tokensSee provider quotes
Provider endpoints1 endpoint →0 endpoints →
Context window262.1K8.2K
Max output131.1K—
Parameters——
Tool callingSupportedNot reported
Structured outputSupportedNot reported
ReasoningSupportedNot reported

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