Auto-generated comparison

Mistral: Pixtral Large 2411 vs Sao10K: Llama 3.1 Euryale 70B v2.2

Sao10K: Llama 3.1 Euryale 70B v2.2 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMistral: Pixtral Large 2411Sao10K: Llama 3.1 Euryale 70B v2.2Winner
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.
$2.00$0.85🏆 Sao10K: Llama 3.1 Euryale 70B v2.2
Output price (per 1M)
Cost per million output tokens billed by the provider.
$6.00$0.85🏆 Sao10K: Llama 3.1 Euryale 70B v2.2
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Mistral: Pixtral Large 2411
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Mistral: Pixtral Large 2411 better than Sao10K: Llama 3.1 Euryale 70B v2.2?

Sao10K: Llama 3.1 Euryale 70B v2.2 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Mistral: Pixtral Large 2411 and Sao10K: Llama 3.1 Euryale 70B v2.2?

Input: $2.00 vs $0.85 per 1M tokens. Output: $6.00 vs $0.85 per 1M tokens.

What context windows do Mistral: Pixtral Large 2411 and Sao10K: Llama 3.1 Euryale 70B v2.2 support?

Mistral: Pixtral Large 2411 supports up to 131K tokens. Sao10K: Llama 3.1 Euryale 70B v2.2 supports up to 131K tokens.

Do both Mistral: Pixtral Large 2411 and Sao10K: Llama 3.1 Euryale 70B v2.2 support tool calling?

Mistral: Pixtral Large 2411: yes. Sao10K: Llama 3.1 Euryale 70B v2.2: yes.

Compare Mistral: Pixtral Large 2411 with other models

Compare Sao10K: Llama 3.1 Euryale 70B v2.2 with other models