Auto-generated comparison

Cohere: Command R (08-2024) vs Tencent: Hy-MT2-1.8B

Cohere: Command R (08-2024) and Tencent: Hy-MT2-1.8B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityCohere: Command R (08-2024)Tencent: Hy-MT2-1.8BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
128K8K🏆 Cohere: Command R (08-2024)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.15$0.04🏆 Tencent: Hy-MT2-1.8B
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.60$0.18🏆 Tencent: Hy-MT2-1.8B
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 Cohere: Command R (08-2024)
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Cohere: Command R (08-2024) better than Tencent: Hy-MT2-1.8B?

Cohere: Command R (08-2024) and Tencent: Hy-MT2-1.8B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Cohere: Command R (08-2024) and Tencent: Hy-MT2-1.8B?

Input: $0.15 vs $0.04 per 1M tokens. Output: $0.60 vs $0.18 per 1M tokens.

What context windows do Cohere: Command R (08-2024) and Tencent: Hy-MT2-1.8B support?

Cohere: Command R (08-2024) supports up to 128K tokens. Tencent: Hy-MT2-1.8B supports up to 8K tokens.

Do both Cohere: Command R (08-2024) and Tencent: Hy-MT2-1.8B support tool calling?

Cohere: Command R (08-2024): yes. Tencent: Hy-MT2-1.8B: not advertised.

Compare Cohere: Command R (08-2024) with other models

Compare Tencent: Hy-MT2-1.8B with other models