Model Comparison
Claude 3.5 Sonnet (Oct '24)
vs. Qwen3 4B 2507 (Reasoning)
Comparing 2 AI models · 12 benchmarks · Anthropic, Alibaba
Recommended Pick
Strongest on: Input price, Output price, Reasoning
Lowest Price
Qwen3 4B 2507 (Reasoning)
$0.00/1M input price
Best Reasoning
Qwen3 4B 2507 (Reasoning)
51.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
Claude 3.5 Sonnet (Oct '24)
30.2 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Qwen3 4B 2507 (Reasoning) is ∞x cheaper on input tokens than Claude 3.5 Sonnet (Oct '24).
Reasoning gap
Qwen3 4B 2507 (Reasoning) leads Claude 3.5 Sonnet (Oct '24) by 16.7 points on reasoning.
Coding gap
Claude 3.5 Sonnet (Oct '24) leads Qwen3 4B 2507 (Reasoning) by 20.7 points on coding.
Top-pick rationale
Qwen3 4B 2507 (Reasoning) wins 7 measurable categories, including Input price, Output price, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Claude 3.5 Sonnet (Oct '24)
Anthropic
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 4B 2507 (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | An Claude 3.5 Sonnet (Oct '24) | Top Pick Al Qwen3 4B 2507 (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $3.75/1M | $0.00/1M |
| Output Cost | $15.00/1M | $0.00/1M |
| Blended (3:1) | $6.56/1M | — |
| Specifications | ||
| Organization | Anthropic | Alibaba |
| Release Date | Oct 22, 2024 | Aug 6, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 34.5 | 51.2 |
| Intelligence | 15.9 | 18.2 |
| Coding | 30.2 | 9.5 |
| Math | — | 82.7 |
| Standard Benchmarks | ||
| GPQA | 59.9% | 66.7% |
| MMLU Pro | 77.2% | 74.3% |
| HLE | 3.9% | 5.9% |
| LiveCodeBench | 38.1% | 64.1% |
| MATH 500 | 77.1% | — |
| AIME 2025 | — | 82.7% |
| AIME (Original) | 15.7% | — |
| SciCode | 36.6% | 25.6% |
| LCR | — | 37.7% |
| IFBench | — | 49.8% |
| TAU-bench v2 | — | 25.4% |
| TerminalBench Hard | — | 1.5% |
Key Takeaways
Qwen3 4B 2507 (Reasoning) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 4B 2507 (Reasoning) has the strongest reasoning profile with a 51.2 reasoning score, combining the available reasoning-heavy benchmarks.
Claude 3.5 Sonnet (Oct '24) reaches a 30.2 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Claude 3.5 Sonnet (Oct '24)
- Code generation
- Software development
Qwen3 4B 2507 (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis