Kimi K2 Thinking vs Jamba 1.7 Mini: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Kimi K2 Thinking vs Jamba 1.7 Mini Showdown

After a comprehensive analysis, Kimi K2 Thinking 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 Kimi K2 Thinking 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.

Kimi K2 Thinking

Other

Reasoning: 9
Coding: 3
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 96.454tokens/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 Kimi K2 Thinking vs Jamba 1.7 Mini matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Kimi K2 Thinking vs Jamba 1.7 Mini analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Kimi K2 Thinking` 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 Kimi K2 Thinking vs Jamba 1.7 Mini debate, Kimi K2 Thinking scores 90 against Jamba 1.7 Mini's 10. This data-driven approach is essential for any serious Kimi K2 Thinking 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 Kimi K2 Thinking 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

Kimi K2 Thinking300ms

Jamba 1.7 Mini300ms

Tokens per Second

Kimi K2 Thinking96.454

Jamba 1.7 Mini58

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The Economics of Kimi K2 Thinking vs Jamba 1.7 Mini

Power is only one part of the equation. This Kimi K2 Thinking 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, Kimi K2 Thinking would cost $0.001, whereas Jamba 1.7 Mini would cost $0.000. This practical calculation is vital for any developer considering the Kimi K2 Thinking vs Jamba 1.7 Mini choice.

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Which Model Wins the Kimi K2 Thinking vs Jamba 1.7 Mini Battle for You?

Choose Kimi K2 Thinking if...

Your top priority is raw performance and capability.

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

Cost is a secondary concern to power in your Kimi K2 Thinking vs Jamba 1.7 Mini decision.

Choose Jamba 1.7 Mini if...

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

Your budget is a primary consideration in the Kimi K2 Thinking vs Jamba 1.7 Mini choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Kimi K2 Thinking vs Jamba 1.7 Mini Comparison

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Data source: https://artificialanalysis.ai/