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Comparison of command-a, clef, embeddinggemma-2
3 modelsUnknowncommand-aRemove ×UnknownclefRemove ×googleembeddinggemma-2Remove ×
What’s different256K context · 8.2K max output · Tool calling · Structured output65.5K contextEmbeddingGemma 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 16, 2026DiscoveredOct 8, 2026Listed
Listed rate$2.50 in / $10.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.24 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rateSee provider quotes
Provider endpoints1 endpoint →1 endpoint →0 endpoints →
Context window256K65.5K8.2K
Max output8.2K——
Parameters———
Tool callingSupportedNot reportedNot reported
Structured outputSupportedNot reportedNot reported

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