Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct Showdown

After a comprehensive analysis, Nova 2.0 Omni (Non-reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Kimi Linear 48B A3B Instruct remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct comparison will break down every critical metric to help you make the best decision.

Explore best-for scenarios•Let the AI Selector recommend next steps

Model Snapshot

Key decision metrics at a glance.

Nova 2.0 Omni (Non-reasoning)

Other

Reasoning: 4
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.001
P95 Latency: 1000ms
Tokens per second: 213.398tokens/sec

Kimi Linear 48B A3B Instruct

Other

Reasoning: 4
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.015
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Nova 2.0 Omni (Non-reasoning)` vs `Kimi Linear 48B A3B Instruct`.

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 Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct debate, Nova 2.0 Omni (Non-reasoning) scores 40 against Kimi Linear 48B A3B Instruct's 40. This data-driven approach is essential for any serious Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct comparison.

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

Speed & Latency

Speed is a crucial factor in the Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Nova 2.0 Omni (Non-reasoning)300ms

Kimi Linear 48B A3B Instruct300ms

Tokens per Second

Nova 2.0 Omni (Non-reasoning)213.398

Kimi Linear 48B A3B Instruct66

Head to the playground to validate these results yourself

The Economics of Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct

Power is only one part of the equation. This Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct 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, Nova 2.0 Omni (Non-reasoning) would cost $0.001, whereas Kimi Linear 48B A3B Instruct would cost $0.018. This practical calculation is vital for any developer considering the Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct choice.

Review the complete pricing and packaging strategy

Which Model Wins the Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct Battle for You?

Choose Nova 2.0 Omni (Non-reasoning) if...

You need the most advanced reasoning capabilities available.

Your use case demands cutting-edge AI performance.

Choose Kimi Linear 48B A3B Instruct if...

You are developing at scale where operational costs are critical.

You prioritize cost-effectiveness over maximum performance.

Your workload requires consistent, reliable performance.

Explore all Best picks Use the AI Selector for a tailored recommendation

Your Questions about the Nova 2.0 Omni (Non-reasoning) vs Kimi Linear 48B A3B Instruct Comparison

Review the full evaluation methodology · Read the latest analysis posts

Data source: https://artificialanalysis.ai/