Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale Showdown

After a comprehensive analysis, DeepSeek V3.2 Speciale emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Claude 4.5 Haiku (Reasoning) remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale 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.

Claude 4.5 Haiku (Reasoning)

Anthropic

Reasoning: 8
Coding: 3
Multimodal: 3
Long Context: 5
Blended Price / 1M tokens: $0.002
P95 Latency: 1000ms
Tokens per second: 103.774tokens/sec

DeepSeek V3.2 Speciale

DeepSeek

Reasoning: 10
Coding: 4
Multimodal: 3
Long Context: 4
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: —

Overall Capabilities

The capability radar provides a holistic view of the Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Claude 4.5 Haiku (Reasoning)` vs `DeepSeek V3.2 Speciale`.

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 Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale debate, Claude 4.5 Haiku (Reasoning) scores 80 against DeepSeek V3.2 Speciale's 100. This data-driven approach is essential for any serious Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale comparison.

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

Speed & Latency

Speed is a crucial factor in the Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.

Time to First Token

Claude 4.5 Haiku (Reasoning)300ms

DeepSeek V3.2 Speciale300ms

Tokens per Second

Claude 4.5 Haiku (Reasoning)103.774

DeepSeek V3.2 Speciale41

Head to the playground to validate these results yourself

The Economics of Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale

Power is only one part of the equation. This Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale 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, Claude 4.5 Haiku (Reasoning) would cost $0.002, whereas DeepSeek V3.2 Speciale would cost $0.001. This practical calculation is vital for any developer considering the Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale choice.

Review the complete pricing and packaging strategy

Which Model Wins the Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale Battle for You?

Choose Claude 4.5 Haiku (Reasoning) if...

Your top priority is raw performance and capability.

Cost is a secondary concern to power in your Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale decision.

You need the most advanced reasoning capabilities available.

Choose DeepSeek V3.2 Speciale if...

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

Your budget is a primary consideration in the Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale choice.

You are developing at scale where operational costs are critical.

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

Your Questions about the Claude 4.5 Haiku (Reasoning) vs DeepSeek V3.2 Speciale Comparison

Review the full evaluation methodology · Read the latest analysis posts

Data source: https://artificialanalysis.ai/