Auto-generated comparison

DeepSeek: DeepSeek V3.1 vs Inception: Mercury 2

DeepSeek: DeepSeek V3.1 and Inception: Mercury 2 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityDeepSeek: DeepSeek V3.1Inception: Mercury 2Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K128K🏆 DeepSeek: DeepSeek V3.1
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.25$0.25Tie
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.95$0.75🏆 Inception: Mercury 2
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is DeepSeek: DeepSeek V3.1 better than Inception: Mercury 2?

DeepSeek: DeepSeek V3.1 and Inception: Mercury 2 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between DeepSeek: DeepSeek V3.1 and Inception: Mercury 2?

Input: $0.25 vs $0.25 per 1M tokens. Output: $0.95 vs $0.75 per 1M tokens.

What context windows do DeepSeek: DeepSeek V3.1 and Inception: Mercury 2 support?

DeepSeek: DeepSeek V3.1 supports up to 164K tokens. Inception: Mercury 2 supports up to 128K tokens.

Do both DeepSeek: DeepSeek V3.1 and Inception: Mercury 2 support tool calling?

DeepSeek: DeepSeek V3.1: yes. Inception: Mercury 2: yes.

Compare DeepSeek: DeepSeek V3.1 with other models

Compare Inception: Mercury 2 with other models