Auto-generated comparison

AI21: Jamba Large 1.7 vs Mistral: Voxtral Small 24B 2507

Mistral: Voxtral Small 24B 2507 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityAI21: Jamba Large 1.7Mistral: Voxtral Small 24B 2507Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
256K32K🏆 AI21: Jamba Large 1.7
Input price (per 1M)
Cost per million input tokens billed by the provider.
$2.00$0.10🏆 Mistral: Voxtral Small 24B 2507
Output price (per 1M)
Cost per million output tokens billed by the provider.
$8.00$0.30🏆 Mistral: Voxtral Small 24B 2507
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 AI21: Jamba Large 1.7 better than Mistral: Voxtral Small 24B 2507?

Mistral: Voxtral Small 24B 2507 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between AI21: Jamba Large 1.7 and Mistral: Voxtral Small 24B 2507?

Input: $2.00 vs $0.10 per 1M tokens. Output: $8.00 vs $0.30 per 1M tokens.

What context windows do AI21: Jamba Large 1.7 and Mistral: Voxtral Small 24B 2507 support?

AI21: Jamba Large 1.7 supports up to 256K tokens. Mistral: Voxtral Small 24B 2507 supports up to 32K tokens.

Do both AI21: Jamba Large 1.7 and Mistral: Voxtral Small 24B 2507 support tool calling?

AI21: Jamba Large 1.7: yes. Mistral: Voxtral Small 24B 2507: yes.

Compare AI21: Jamba Large 1.7 with other models

Compare Mistral: Voxtral Small 24B 2507 with other models