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Comparison of seed-2.0-code, embeddinggemma-2, Together: Tev1 4B Experimental
3 modelsUnknownseed-2.0-codeRemove ×googleembeddinggemma-2Remove ×togethercomputerTogether: Tev1 4B ExperimentalRemove ×
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,…Tev1 4B Experimental is an experimental decision model from Together AI, a supervised fine-tune of Qwen3.5-4B trained to choose one option from a structured state, question, and list of 2-24...
DateOct 16, 2026DiscoveredOct 8, 2026ListedSep 30, 2026Listed
Listed rate$0.50 in / $3.00 out/ 1M tokensExperiential · all routes ↗Standard · fewer than 128,001 input tokensSee provider quotes$0.042 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →0 endpoints →1 endpoint →
Context window262.1K8.2K32.8K
Max output131.1K—8
Parameters——4B
Tool callingSupportedNot reportedNot reported
Structured outputSupportedNot reportedNot reported
ReasoningSupportedNot reportedNot reported
Open weightsNot reportedNot reportedSupported

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