Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large Showdown

After a comprehensive analysis, Exaone 4.0 1.2B (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 Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 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.

Exaone 4.0 1.2B (Reasoning)

Other

Reasoning: 5
Coding: 1
Multimodal: 1
Long Context: 1
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

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: 39.552tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Exaone 4.0 1.2B (Reasoning)` vs `Jamba 1.7 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 Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large debate, Exaone 4.0 1.2B (Reasoning) scores 50 against Jamba 1.7 Large's 10. This data-driven approach is essential for any serious Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 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 Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Exaone 4.0 1.2B (Reasoning)300ms

Jamba 1.7 Large300ms

Tokens per Second

Exaone 4.0 1.2B (Reasoning)28

Jamba 1.7 Large39.552

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The Economics of Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large

Power is only one part of the equation. This Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 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, Exaone 4.0 1.2B (Reasoning) would cost $0.018, whereas Jamba 1.7 Large would cost $0.004. This practical calculation is vital for any developer considering the Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large choice.

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Which Model Wins the Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large Battle for You?

Choose Exaone 4.0 1.2B (Reasoning) if...

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

Cost is a secondary concern to power in your Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large decision.

You need the most advanced reasoning capabilities available.

Choose Jamba 1.7 Large if...

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

Your budget is a primary consideration in the Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Exaone 4.0 1.2B (Reasoning) vs Jamba 1.7 Large Comparison

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Data source: https://artificialanalysis.ai/