Auto-generated comparison

DeepSeek: R1 Distill Qwen 32B vs Google: Gemini 2.5 Flash

Google: Gemini 2.5 Flash wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek: R1 Distill Qwen 32BGoogle: Gemini 2.5 FlashWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
33K1.0M🏆 Google: Gemini 2.5 Flash
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.29$0.30🏆 DeepSeek: R1 Distill Qwen 32B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.29$2.50🏆 DeepSeek: R1 Distill Qwen 32B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Google: Gemini 2.5 Flash
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemini 2.5 Flash
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is DeepSeek: R1 Distill Qwen 32B better than Google: Gemini 2.5 Flash?

Google: Gemini 2.5 Flash wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between DeepSeek: R1 Distill Qwen 32B and Google: Gemini 2.5 Flash?

Input: $0.29 vs $0.30 per 1M tokens. Output: $0.29 vs $2.50 per 1M tokens.

What context windows do DeepSeek: R1 Distill Qwen 32B and Google: Gemini 2.5 Flash support?

DeepSeek: R1 Distill Qwen 32B supports up to 33K tokens. Google: Gemini 2.5 Flash supports up to 1.0M tokens.

Do both DeepSeek: R1 Distill Qwen 32B and Google: Gemini 2.5 Flash support tool calling?

DeepSeek: R1 Distill Qwen 32B: not advertised. Google: Gemini 2.5 Flash: yes.

Compare DeepSeek: R1 Distill Qwen 32B with other models

Compare Google: Gemini 2.5 Flash with other models