Cogito v2.1 (Reasoning) vs Jamba 1.7 Mini: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Cogito v2.1 (Reasoning) vs Jamba 1.7 Mini Showdown

After a comprehensive analysis, Cogito v2.1 (Reasoning) 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 Cogito v2.1 (Reasoning) 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.

Cogito v2.1 (Reasoning)

Other

Reasoning: 7
Coding: 2
Multimodal: 5
Long Context: 8
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 73.701tokens/sec

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 Cogito v2.1 (Reasoning) vs Jamba 1.7 Mini matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Cogito v2.1 (Reasoning) vs Jamba 1.7 Mini analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Cogito v2.1 (Reasoning)` 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 Cogito v2.1 (Reasoning) vs Jamba 1.7 Mini debate, Cogito v2.1 (Reasoning) scores 70 against Jamba 1.7 Mini's 10. This data-driven approach is essential for any serious Cogito v2.1 (Reasoning) 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 Cogito v2.1 (Reasoning) 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

Cogito v2.1 (Reasoning)300ms

Jamba 1.7 Mini300ms

Tokens per Second

Cogito v2.1 (Reasoning)73.701

Jamba 1.7 Mini58

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The Economics of Cogito v2.1 (Reasoning) vs Jamba 1.7 Mini

Power is only one part of the equation. This Cogito v2.1 (Reasoning) 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, Cogito v2.1 (Reasoning) would cost $0.002, whereas Jamba 1.7 Mini would cost $0.000. This practical calculation is vital for any developer considering the Cogito v2.1 (Reasoning) vs Jamba 1.7 Mini choice.

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Which Model Wins the Cogito v2.1 (Reasoning) vs Jamba 1.7 Mini Battle for You?

Choose Cogito v2.1 (Reasoning) if...

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

Cost is a secondary concern to power in your Cogito v2.1 (Reasoning) 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 Cogito v2.1 (Reasoning) vs Jamba 1.7 Mini choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Cogito v2.1 (Reasoning) vs Jamba 1.7 Mini Comparison

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Data source: https://artificialanalysis.ai/