DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini Showdown

After a comprehensive analysis, Jamba 1.5 Mini emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, DeepSeek LLM 67B Chat (V1) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 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.

DeepSeek LLM 67B Chat (V1)

DeepSeek

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

Jamba 1.5 Mini

Other

Reasoning: 6
Coding: 6
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 DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `DeepSeek LLM 67B Chat (V1)` vs `Jamba 1.5 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 DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini debate, DeepSeek LLM 67B Chat (V1) scores 60 against Jamba 1.5 Mini's 60. This data-driven approach is essential for any serious DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 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 DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

DeepSeek LLM 67B Chat (V1)300ms

Jamba 1.5 Mini300ms

Tokens per Second

DeepSeek LLM 67B Chat (V1)50

Jamba 1.5 Mini46

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The Economics of DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini

Power is only one part of the equation. This DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 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, DeepSeek LLM 67B Chat (V1) would cost $0.018, whereas Jamba 1.5 Mini would cost $0.000. This practical calculation is vital for any developer considering the DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini choice.

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Which Model Wins the DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini Battle for You?

Choose DeepSeek LLM 67B Chat (V1) if...

Cost is a secondary concern to power in your DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini decision.

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Jamba 1.5 Mini if...

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

Your budget is a primary consideration in the DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini choice.

You are developing at scale where operational costs are critical.

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Your Questions about the DeepSeek LLM 67B Chat (V1) vs Jamba 1.5 Mini Comparison

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Data source: https://artificialanalysis.ai/