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| 3 models | Unknownseed-2.0-codeRemove × | googleembeddinggemma-2Remove × | ideogramIdeogram V4.5 Text to ImageRemove × |
|---|---|---|---|
| What’s different | 262.1K context · 131.1K max output · Tool calling · Structured output | EmbeddingGemma 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,… | Generate high-quality images, posters, and logos with Ideogram 4.5, with accurate text rendering and low, medium, or high quality tiers. |
| Date | Oct 16, 2026Discovered | Oct 8, 2026Listed | Sep 30, 2026Released |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.50 in / $3.00 out/ 1M tokensExperiential · all routes ↗Standard · fewer than 128,001 input tokens | See provider quotes | See provider quotes |
| Provider endpoints | 1 endpoint → | 0 endpoints → | 1 endpoint → |
Benchmarks Each result retains its evaluation configuration | |||
| AA Image ↗2.1 | Not reported | Not reported | 1,015.68 ↗Text-to-image · all categories · quality=highIndependent result95% CI 1,000.68–1,030.68 · n=2,634 |
Specifications | |||
| Context window | 262.1K | 8.2K | — |
| Max output | 131.1K | — | — |
| Parameters | — | — | — |
| Tool calling | Supported | Not reported | Not reported |
| Structured output | Supported | Not reported | Not reported |
| Reasoning | Supported | Not reported | Not reported |