Gemini 1.0 Pro vs Jamba 1.6 Large: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Gemini 1.0 Pro vs Jamba 1.6 Large Showdown

After a comprehensive analysis, Jamba 1.6 Large emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Gemini 1.0 Pro remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Gemini 1.0 Pro vs Jamba 1.6 Large 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.

Gemini 1.0 Pro

Google

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

Jamba 1.6 Large

Other

Reasoning: 6
Coding: 6
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.004
P95 Latency: 1000ms
Tokens per second: 40.521tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Gemini 1.0 Pro vs Jamba 1.6 Large matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Gemini 1.0 Pro vs Jamba 1.6 Large analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Gemini 1.0 Pro` vs `Jamba 1.6 Large`.

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 Gemini 1.0 Pro vs Jamba 1.6 Large debate, Gemini 1.0 Pro scores 60 against Jamba 1.6 Large's 60. This data-driven approach is essential for any serious Gemini 1.0 Pro vs Jamba 1.6 Large comparison.

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

Speed & Latency

Speed is a crucial factor in the Gemini 1.0 Pro vs Jamba 1.6 Large decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Gemini 1.0 Pro300ms

Jamba 1.6 Large300ms

Tokens per Second

Gemini 1.0 Pro46

Jamba 1.6 Large40.521

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The Economics of Gemini 1.0 Pro vs Jamba 1.6 Large

Power is only one part of the equation. This Gemini 1.0 Pro vs Jamba 1.6 Large 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, Gemini 1.0 Pro would cost $0.018, whereas Jamba 1.6 Large would cost $0.004. This practical calculation is vital for any developer considering the Gemini 1.0 Pro vs Jamba 1.6 Large choice.

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Which Model Wins the Gemini 1.0 Pro vs Jamba 1.6 Large Battle for You?

Choose Gemini 1.0 Pro if...

Cost is a secondary concern to power in your Gemini 1.0 Pro vs Jamba 1.6 Large decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Jamba 1.6 Large if...

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

Your budget is a primary consideration in the Gemini 1.0 Pro vs Jamba 1.6 Large choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Gemini 1.0 Pro vs Jamba 1.6 Large Comparison

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Data source: https://artificialanalysis.ai/