Gemini 3.5 Flash-LitevsDeepSeek-V4-Flash
Across 3 shared benchmarks, Gemini 3.5 Flash-Lite leads overall: Gemini 3.5 Flash-Lite wins 2, DeepSeek-V4-Flash wins 1, with 0 ties and an average score difference of -7.77.
Gemini 3.5 Flash-Lite
Google Deep Mind · 2026-07-21 · Multimodal model
DeepSeek-V4-Flash
DeepSeek-AI · 2026-04-24 · Reasoning model
Gemini 3.5 Flash-Lite2 wins(67%)(33%)1 winDeepSeek-V4-Flash
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
AI Agent - Tool Usage
DeepSeek-V4-Flash 1/1| Benchmark | Gemini 3.5 Flash-Lite | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| Terminal-Bench 2.1 | 5443 / 45Thinking (With Tools) | 82.7017 / 45Max (With Tools) | -28.70 |
Coding and Software Engineer
Gemini 3.5 Flash-Lite 1/1| Benchmark | Gemini 3.5 Flash-Lite | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| SWE-Bench Pro - Public | 54.2034 / 57Thinking (With Tools) | 49.1047 / 57Normal (With Tools) | +5.10 |
Writing and Creative Capabilities
Gemini 3.5 Flash-Lite 1/1| Benchmark | Gemini 3.5 Flash-Lite | DeepSeek-V4-Flash | Diff |
|---|---|---|---|
| Creative Writing | 1,55641 / 99Normal (No Tools) | 1,55642 / 99Normal (No Tools) | +0.30 |
Specs
| Field | Gemini 3.5 Flash-Lite | DeepSeek-V4-Flash |
|---|---|---|
| Publisher | Google Deep Mind | DeepSeek-AI |
| Release date | 2026-07-21 | 2026-04-24 |
| Model type | Multimodal model | Reasoning model |
| Architecture | Dense | MoE |
| Parameters | Not available | 284B |
| Context length | 1M | 1M |
| Max output | 64K | 384K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Gemini 3.5 Flash-Lite | DeepSeek-V4-Flash |
|---|---|---|
| Text input | $0.3 / 1M tokens | $0.14 / 1M tokens |
| Text output | $2.5 / 1M tokens | $0.28 / 1M tokens |
| Cache read | $0.03 / 1M tokens | $0.0028 / 1M tokens |
Summary
- Gemini 3.5 Flash-Liteleads in:Coding and Software Engineer (1/1), Writing and Creative Capabilities (1/1)
- DeepSeek-V4-Flashleads in:AI Agent - Tool Usage (1/1)
On average across the 3 shared benchmarks, DeepSeek-V4-Flash scores 7.77 higher.
Largest single-benchmark gap: Terminal-Bench 2.1 — Gemini 3.5 Flash-Lite 54 vs DeepSeek-V4-Flash 82.70 (-28.70).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.