Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning): The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) Showdown

After a comprehensive analysis, Gemini 2.5 Flash (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Jamba 1.7 Large remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) 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.

Jamba 1.7 Large

Other

Reasoning: 1
Coding: 1
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.004
P95 Latency: 1000ms
Tokens per second: 40.025tokens/sec

Gemini 2.5 Flash (Reasoning)

Google

Reasoning: 7
Coding: 2
Multimodal: 2
Long Context: 3
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 276.305tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Jamba 1.7 Large` vs `Gemini 2.5 Flash (Reasoning)`.

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 Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) debate, Jamba 1.7 Large scores 10 against Gemini 2.5 Flash (Reasoning)'s 70. This data-driven approach is essential for any serious Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) comparison.

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

Speed & Latency

Speed is a crucial factor in the Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Jamba 1.7 Large300ms

Gemini 2.5 Flash (Reasoning)300ms

Tokens per Second

Jamba 1.7 Large40.025

Gemini 2.5 Flash (Reasoning)276.305

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The Economics of Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning)

Power is only one part of the equation. This Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) 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, Jamba 1.7 Large would cost $0.004, whereas Gemini 2.5 Flash (Reasoning) would cost $0.001. This practical calculation is vital for any developer considering the Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) choice.

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Which Model Wins the Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) Battle for You?

Choose Jamba 1.7 Large if...

Cost is a secondary concern to power in your Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Gemini 2.5 Flash (Reasoning) if...

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

Your budget is a primary consideration in the Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Jamba 1.7 Large vs Gemini 2.5 Flash (Reasoning) Comparison

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Data source: https://artificialanalysis.ai/