Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct: The Ultimate Performance & Pricing Comparison

Deep dive into reasoning, benchmarks, and latency insights.

The Final Verdict in the Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct Showdown

After a comprehensive analysis, Claude 4.5 Sonnet (Reasoning) emerges as the superior choice for users prioritizing raw intelligence and reasoning. However, Qwen3 30B A3B 2507 Instruct remains a highly competitive option, especially for scenarios demanding faster response times and cost-efficiency. This detailed Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct 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.

Claude 4.5 Sonnet (Reasoning)

Anthropic

Reasoning: 9
Coding: 4
Multimodal: 4
Long Context: 5
Blended Price / 1M tokens: $0.006
P95 Latency: 1000ms
Tokens per second: 76.059tokens/sec

Qwen3 30B A3B 2507 Instruct

Other

Reasoning: 7
Coding: 1
Multimodal: 1
Long Context: 2
Blended Price / 1M tokens: $0.000
P95 Latency: 1000ms
Tokens per second: 58.089tokens/sec

Overall Capabilities

The capability radar provides a holistic view of the Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct analysis.

This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Claude 4.5 Sonnet (Reasoning)` vs `Qwen3 30B A3B 2507 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 Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct debate, Claude 4.5 Sonnet (Reasoning) scores 90 against Qwen3 30B A3B 2507 Instruct's 70. This data-driven approach is essential for any serious Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 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 Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct 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 Sonnet (Reasoning)300ms

Qwen3 30B A3B 2507 Instruct300ms

Tokens per Second

Claude 4.5 Sonnet (Reasoning)76.059

Qwen3 30B A3B 2507 Instruct58.089

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The Economics of Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct

Power is only one part of the equation. This Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 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, Claude 4.5 Sonnet (Reasoning) would cost $0.007, whereas Qwen3 30B A3B 2507 Instruct would cost $0.000. This practical calculation is vital for any developer considering the Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct choice.

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Which Model Wins the Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct Battle for You?

Choose Claude 4.5 Sonnet (Reasoning) 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 Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct decision.

Choose Qwen3 30B A3B 2507 Instruct if...

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

Your budget is a primary consideration in the Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct choice.

You are developing at scale where operational costs are critical.

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Your Questions about the Claude 4.5 Sonnet (Reasoning) vs Qwen3 30B A3B 2507 Instruct Comparison

Review the full evaluation methodology · Read the latest analysis posts

Data source: https://artificialanalysis.ai/