Auto-generated comparison

DeepSeek Chat (legacy id) vs Google: Gemma 2 9B

DeepSeek Chat (legacy id) and Google: Gemma 2 9B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityDeepSeek Chat (legacy id)Google: Gemma 2 9BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K8K🏆 DeepSeek Chat (legacy id)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.32$0.03🏆 Google: Gemma 2 9B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.89$0.09🏆 Google: Gemma 2 9B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 DeepSeek Chat (legacy id)
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is DeepSeek Chat (legacy id) better than Google: Gemma 2 9B?

DeepSeek Chat (legacy id) and Google: Gemma 2 9B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between DeepSeek Chat (legacy id) and Google: Gemma 2 9B?

Input: $0.32 vs $0.03 per 1M tokens. Output: $0.89 vs $0.09 per 1M tokens.

What context windows do DeepSeek Chat (legacy id) and Google: Gemma 2 9B support?

DeepSeek Chat (legacy id) supports up to 164K tokens. Google: Gemma 2 9B supports up to 8K tokens.

Do both DeepSeek Chat (legacy id) and Google: Gemma 2 9B support tool calling?

DeepSeek Chat (legacy id): yes. Google: Gemma 2 9B: not advertised.

Compare DeepSeek Chat (legacy id) with other models

Compare Google: Gemma 2 9B with other models