Auto-generated comparison

inclusionAI: Ling-2.6-1T vs Mistral: Codestral 2508

inclusionAI: Ling-2.6-1T wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityinclusionAI: Ling-2.6-1TMistral: Codestral 2508Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
262K256K🏆 inclusionAI: Ling-2.6-1T
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.07$0.30🏆 inclusionAI: Ling-2.6-1T
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.63$0.90🏆 inclusionAI: Ling-2.6-1T
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 inclusionAI: Ling-2.6-1T better than Mistral: Codestral 2508?

inclusionAI: Ling-2.6-1T wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between inclusionAI: Ling-2.6-1T and Mistral: Codestral 2508?

Input: $0.07 vs $0.30 per 1M tokens. Output: $0.63 vs $0.90 per 1M tokens.

What context windows do inclusionAI: Ling-2.6-1T and Mistral: Codestral 2508 support?

inclusionAI: Ling-2.6-1T supports up to 262K tokens. Mistral: Codestral 2508 supports up to 256K tokens.

Do both inclusionAI: Ling-2.6-1T and Mistral: Codestral 2508 support tool calling?

inclusionAI: Ling-2.6-1T: yes. Mistral: Codestral 2508: yes.

Compare inclusionAI: Ling-2.6-1T with other models

Compare Mistral: Codestral 2508 with other models