$ diff qwen-3-8 gemini-3-6-flash
Qwen 3.8 Max vs Gemini 3.6 Flash
Values come from Qwen 3.8 Max and Gemini 3.6 Flash, 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.
Alibaba QwenQwen 3.8 Max
- context
- 1M
- weights
- open
- $/M in
- $2
- $/M out
- $6
- context
- 1.0M
- weights
- closed
- $/M in
- $1.5
- $/M out
- $7.5
What actually differs
- Context window
- Gemini 3.6 Flash takes 1.0M against 1M — modestly more room in a single request.
- Input price
- Gemini 3.6 Flash at $1.5/M against $2/M — 1.3× cheaper to feed.
- Output price
- Qwen 3.8 Max at $6/M against $7.5/M — 1.3× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Weights
- Qwen 3.8 Max publishes weights (Open-weight announced for the week of 2026-08-10; not yet shipped); Gemini 3.6 Flash is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
- Recency
- Qwen 3.8 Max shipped 13 days after Gemini 3.6 Flash (2026-08-03 vs 2026-07-21).
Full spec
| Attribute | Qwen 3.8 Max | Gemini 3.6 Flash |
|---|---|---|
| Developer | Alibaba Qwen | Google DeepMind |
| Released | 2026-08-03 | 2026-07-21 |
| Context window | 1 million tokens | 1,048,576 tokens (1M) |
| Pricing | $2 / M input · $6 / M output | $1.50/M input · $7.50/M output |
| License | Open-weight announced for the week of 2026-08-10; not yet shipped | proprietary |
| Availability | Alibaba Cloud Model Studio (global), QwenWork | Gemini API, Google AI Studio, Android Studio, Vertex AI, consumer Gemini app, Google Search, GitHub Copilot |