Jamba 1.7 Large vs GPT-4o

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

Last verified Jun 2026 · Prices per 1M tokens

Cheaper Input
Jamba 1.7 Large
$2 vs $2.5
Cheaper Output
Jamba 1.7 Large
$8 vs $10
Max Savings
20%
by switching to Jamba 1.7 Large
Save up to 20%
Switch from GPT-4o to Jamba 1.7 Large · $2 input / $8 output per 1M tokens

Quick Comparison

FeatureJamba 1.7 LargeGPT-4o
Provider AI21 OpenAI
Tier Mid Mid
Input Price $2 $2.5
Output Price $8 $10
Context Window 256K 128K
Verified Jun 2026 May 2026

When to Use Each

💰 Cost-Sensitive Workloads

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

→ Use Jamba 1.7 Large — 20% cheaper input, 20% 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.

→ Jamba 1.7 Large for cost at scale, GPT-4o if quality matters more

🔬 Prototyping & Testing

Development, experimentation, and non-critical workloads.

→ Use Jamba 1.7 Large — 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 GPT-4o prices change.

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Frequently Asked Questions

Is Jamba 1.7 Large cheaper than GPT-4o?

Yes. Jamba 1.7 Large costs $2 input / $8 output per 1M tokens, while GPT-4o costs $2.5 input / $10 output. That's 20% cheaper on input and 20% cheaper on output.

How much can I save switching to Jamba 1.7 Large?

For a typical workload (1M input + 500K output tokens/month), Jamba 1.7 Large costs $6.00/month vs $7.50/month for GPT-4o. That's a savings of $1.50/month (20%).

Which should I choose: Jamba 1.7 Large or GPT-4o?

Choose Jamba 1.7 Large for cost efficiency. Choose GPT-4o for OpenAI ecosystem benefits. Jamba 1.7 Large has 256K context vs GPT-4o's 128K.