Jamba 1.7 Large vs DeepSeek V4 Pro

Side-by-side API pricing comparison: which model gives you more for less?

Last verified Jun 2026 · Prices per 1M tokens

Cheaper Input
DeepSeek V4 Pro
$0.435 vs $2
Cheaper Output
DeepSeek V4 Pro
$0.87 vs $8
Max Savings
89%
by switching to DeepSeek V4 Pro
Save up to 89%
Switch from Jamba 1.7 Large to DeepSeek V4 Pro · $0.435 input / $0.87 output per 1M tokens

Quick Comparison

FeatureJamba 1.7 LargeDeepSeek V4 Pro
Provider AI21 DeepSeek
Tier Mid Budget
Input Price $2 $0.435
Output Price $8 $0.87
Context Window 256K 1M
Verified Jun 2026 Jun 2026

When to Use Each

💰 Cost-Sensitive Workloads

High-volume APIs, batch processing, and startups watching runway.

→ Use DeepSeek V4 Pro — 78% cheaper input, 89% cheaper output

🧠 Complex Reasoning

Tasks requiring advanced reasoning, code generation, or nuanced analysis.

→ Either model works — compare quality on your specific tasks

⚡ High-Throughput APIs

Real-time chatbots, streaming responses, and latency-sensitive apps.

→ DeepSeek V4 Pro for cost at scale, Jamba 1.7 Large if quality matters more

🔬 Prototyping & Testing

Development, experimentation, and non-critical workloads.

→ Use DeepSeek V4 Pro — same context (256K), much cheaper

Track price changes for both models

APIpulse Pro monitors 49 models across 10 providers. Get alerts when Jamba 1.7 Large or DeepSeek V4 Pro prices change.

Get Pro for $19 →

Frequently Asked Questions

Is DeepSeek V4 Pro cheaper than Jamba 1.7 Large?

Yes. DeepSeek V4 Pro costs $0.435 input / $0.87 output per 1M tokens, while Jamba 1.7 Large costs $2 input / $8 output. That's 78% cheaper on input and 89% cheaper on output.

How much can I save switching to DeepSeek V4 Pro?

For a typical workload (1M input + 500K output tokens/month), DeepSeek V4 Pro costs $0.87/month vs $6.00/month for Jamba 1.7 Large. That's a savings of $5.13/month (89%).

Which should I choose: Jamba 1.7 Large or DeepSeek V4 Pro?

Choose DeepSeek V4 Pro for cost efficiency. Choose Jamba 1.7 Large for AI21 ecosystem benefits. Jamba 1.7 Large has 256K context vs DeepSeek V4 Pro's 1M.