Granite 4.0 350M vs Jamba 1.7 Mini: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Granite 4.0 350M vs Jamba 1.7 Mini Showdown

After a comprehensive analysis, Granite 4.0 350M emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Jamba 1.7 Mini remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Granite 4.0 350M vs Jamba 1.7 Mini comparison will break down every critical metric to help you make the best decision.

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Model Snapshot

Key decision metrics at a glance.

Granite 4.0 350M

Other

Reasoning: 6
Coding: 1
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Jamba 1.7 Mini

Other

Reasoning: 1
Coding: 1
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the Granite 4.0 350M vs Jamba 1.7 Mini matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Granite 4.0 350M vs Jamba 1.7 Mini analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Granite 4.0 350M` vs `Jamba 1.7 Mini`.

Benchmark Breakdown

For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the Granite 4.0 350M vs Jamba 1.7 Mini debate, Granite 4.0 350M scores 60 against Jamba 1.7 Mini's 10. This data-driven approach is essential for any serious Granite 4.0 350M vs Jamba 1.7 Mini comparison.

This grouped bar chart provides a side-by-side comparison for each benchmark metric.

Speed & Latency

Speed is a crucial factor in the Granite 4.0 350M vs Jamba 1.7 Mini decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Granite 4.0 350M300ms

Jamba 1.7 Mini300ms

Tokens per Second

Granite 4.0 350M28

Jamba 1.7 Mini58

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The Economics of Granite 4.0 350M vs Jamba 1.7 Mini

Power is only one part of the equation. This Granite 4.0 350M vs Jamba 1.7 Mini pricing analysis gives you a true sense of value.

Pricing Breakdown

Compare input and output pricing at a glance.

Real-World Cost Scenario

To process 1M input tokens and generate 250k output tokens, Granite 4.0 350M would cost $0.018, whereas Jamba 1.7 Mini would cost $0.000. This practical calculation is vital for any developer considering the Granite 4.0 350M vs Jamba 1.7 Mini choice.

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Which Model Wins the Granite 4.0 350M vs Jamba 1.7 Mini Battle for You?

Choose Granite 4.0 350M if...

You are working in a technical or scientific field requiring the highest accuracy.

Cost is a secondary concern to power in your Granite 4.0 350M vs Jamba 1.7 Mini decision.

You need the most advanced reasoning capabilities available.

Choose Jamba 1.7 Mini if...

You need a highly responsive model for user-facing applications.

Your budget is a primary consideration in the Granite 4.0 350M vs Jamba 1.7 Mini choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Granite 4.0 350M vs Jamba 1.7 Mini Comparison

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Data source: https://artificialanalysis.ai/