$ diff gemini-3-5-flash-lite grok-4-5
Gemini 3.5 Flash-Lite vs Grok 4.5
Google DeepMind and xAI, side by side. Every value below is the one recorded on the model’s own wiki page, with its citation — nothing is estimated.
Google DeepMindGemini 3.5 Flash-Lite
- context
- 1.0M
- weights
- closed
- $/M in
- $0.3
- $/M out
- $2.5
- context
- 500K
- weights
- —
- $/M in
- $2
- $/M out
- $6
What actually differs
- Context window
- Gemini 3.5 Flash-Lite takes 1.0M against 500K — 2.1× more room in a single request.
- Input price
- Gemini 3.5 Flash-Lite at $0.3/M against $2/M — 6.7× cheaper to feed.
- Output price
- Gemini 3.5 Flash-Lite at $2.5/M against $6/M — 2.4× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Recency
- Gemini 3.5 Flash-Lite shipped 12 days after Grok 4.5 (2026-07-21 vs 2026-07-09).
Full spec
| Attribute | Gemini 3.5 Flash-Lite | Grok 4.5 |
|---|---|---|
| Developer | Google DeepMind | xAI |
| Released | 2026-07-21 | 2026-07-09 |
| Context window | 1,048,576 tokens (1M) | 500K tokens |
| Pricing | $0.30/M input · $2.50/M output | $2/M input · $6/M output |
| License | proprietary | not recorded |
| Availability | Gemini API, Google AI Studio, Vertex AI | Grok Build (default model), Cursor (all plans), SpaceXAI console/API; not in EU (regulatory review pending as of 2026-07-09) |
Values come from Gemini 3.5 Flash-Lite and Grok 4.5, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing. How these pages are produced.