Model Comparison

Phi-4
vs. Qwen3 0.6B (Reasoning)

Comparing 2 AI models · 12 benchmarks · Microsoft, Alibaba

Recommended Pick

Microsoft logoPhi-411 metric wins

Strongest on: Throughput, Reasoning, Intelligence

Lowest Price

Alibaba logo

Qwen3 0.6B (Reasoning)

$0.00/1M input price

Best Reasoning

Microsoft logo

Phi-4

28.3 reasoning score

Blends available reasoning benchmarks

Composite Indices

Higher is better; speed and price are normalized

Standard Benchmarks

Only benchmarks with data are shown

Differences That Matter

Price gap

Qwen3 0.6B (Reasoning) is ∞x cheaper on input tokens than Phi-4.

Reasoning gap

Phi-4 leads Qwen3 0.6B (Reasoning) by 6.6 points on reasoning.

Top-pick rationale

Phi-4 wins 11 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.

Live compare

Response Face-Off

Run one prompt through the selected models and compare response quality with live speed and cost context.

Microsoft logo

Phi-4

Microsoft

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting
Alibaba logo

Qwen3 0.6B (Reasoning)

Alibaba

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting

Which answer was more useful?

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Full Comparison

Metric
Top Pick
Microsoft logoPhi-4
Microsoft
Alibaba logoQwen3 0.6B (Reasoning)
Alibaba
Pricing per 1M tokens
Input Cost$0.13/1M$0.00/1M
Output Cost$0.50/1M$0.00/1M
Blended (3:1)$0.22/1M
Specifications
OrganizationMicrosoftAlibaba
Release DateDec 12, 2024Apr 28, 2025
Performance & Speed
Throughput30.7 tok/s
TTFT585ms
Latency585ms
Composite Indices
Value Score100.0
Reasoning Score28.321.7
Intelligence4.91.3
Math18.018.0
Standard Benchmarks
GPQA57.5%23.9%
MMLU Pro71.4%34.7%
HLE4.1%5.7%
LiveCodeBench23.1%12.1%
MATH 50081.0%75.0%
AIME 202518.0%18.0%
AIME (Original)14.3%10.0%
SciCode26.0%2.8%
LCR0.0%0.0%
IFBench23.5%23.3%
TAU-bench v20.0%21.1%
TerminalBench Hard3.8%0.0%

Key Takeaways

Qwen3 0.6B (Reasoning) offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.

Phi-4 has the strongest reasoning profile with a 28.3 reasoning score,combining the available reasoning-heavy benchmarks.

All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.

When to Choose Each Model

Microsoft logo

Phi-4

  • Complex reasoning tasks
  • Research & analysis
Alibaba logo

Qwen3 0.6B (Reasoning)

  • Cost-sensitive applications
  • High-volume processing