Auto-generated comparison

DeepSeek: R1 0528 vs Mistral: Mistral Nemo

DeepSeek: R1 0528 and Mistral: Mistral Nemo are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityDeepSeek: R1 0528Mistral: Mistral NemoWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K131K🏆 DeepSeek: R1 0528
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.45$0.02🏆 Mistral: Mistral Nemo
Output price (per 1M)
Cost per million output tokens billed by the provider.
$2.15$0.04🏆 Mistral: Mistral Nemo
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.
Yes🏆 DeepSeek: R1 0528

Frequently asked questions

Is DeepSeek: R1 0528 better than Mistral: Mistral Nemo?

DeepSeek: R1 0528 and Mistral: Mistral Nemo are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between DeepSeek: R1 0528 and Mistral: Mistral Nemo?

Input: $0.45 vs $0.02 per 1M tokens. Output: $2.15 vs $0.04 per 1M tokens.

What context windows do DeepSeek: R1 0528 and Mistral: Mistral Nemo support?

DeepSeek: R1 0528 supports up to 164K tokens. Mistral: Mistral Nemo supports up to 131K tokens.

Do both DeepSeek: R1 0528 and Mistral: Mistral Nemo support tool calling?

DeepSeek: R1 0528: yes. Mistral: Mistral Nemo: yes.

Compare DeepSeek: R1 0528 with other models

Compare Mistral: Mistral Nemo with other models