Auto-generated comparison

Meta: Llama 3.3 70B Instruct vs Mistral: Devstral Small 1.1

Mistral: Devstral Small 1.1 wins on 1 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMeta: Llama 3.3 70B InstructMistral: Devstral Small 1.1Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K131KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.10$0.10Tie
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.32$0.30🏆 Mistral: Devstral Small 1.1
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.
Tie

Frequently asked questions

Is Meta: Llama 3.3 70B Instruct better than Mistral: Devstral Small 1.1?

Mistral: Devstral Small 1.1 wins on 1 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Meta: Llama 3.3 70B Instruct and Mistral: Devstral Small 1.1?

Input: $0.10 vs $0.10 per 1M tokens. Output: $0.32 vs $0.30 per 1M tokens.

What context windows do Meta: Llama 3.3 70B Instruct and Mistral: Devstral Small 1.1 support?

Meta: Llama 3.3 70B Instruct supports up to 131K tokens. Mistral: Devstral Small 1.1 supports up to 131K tokens.

Do both Meta: Llama 3.3 70B Instruct and Mistral: Devstral Small 1.1 support tool calling?

Meta: Llama 3.3 70B Instruct: yes. Mistral: Devstral Small 1.1: yes.

Compare Meta: Llama 3.3 70B Instruct with other models

Compare Mistral: Devstral Small 1.1 with other models