Model Comparison
GPT-4o (Nov '24)
vs. Qwen3 VL 30B A3B (Reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, Alibaba
Recommended Pick
Al Qwen3 VL 30B A3B (Reasoning) 14 metric wins Strongest on: Value, Input price, Output price
Best Value
Qwen3 VL 30B A3B (Reasoning)
100.0 value score
53.0 reasoning / $0.34/1M
Lowest Price
Qwen3 VL 30B A3B (Reasoning)
$0.20/1M input price
Best Reasoning
Qwen3 VL 30B A3B (Reasoning)
53.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-4o (Nov '24)
16.7 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Qwen3 VL 30B A3B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 VL 30B A3B (Reasoning) is 12.5x cheaper on input tokens than GPT-4o (Nov '24).
Speed gap
GPT-4o (Nov '24) generates about 1.2x as many tokens per second as Qwen3 VL 30B A3B (Reasoning).
Reasoning gap
Qwen3 VL 30B A3B (Reasoning) leads GPT-4o (Nov '24) by 27.6 points on reasoning.
Coding gap
GPT-4o (Nov '24) leads Qwen3 VL 30B A3B (Reasoning) by 3.6 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4o (Nov '24)
OpenAI
TTFT
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Time
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tok/s
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Tokens
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Cost
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Qwen3 VL 30B A3B (Reasoning)
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Op GPT-4o (Nov '24) | Top Pick Al Qwen3 VL 30B A3B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.50/1M | $0.20/1M |
| Output Cost | $10.00/1M | $0.75/1M |
| Blended (3:1) | $4.38/1M | $0.34/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Nov 20, 2024 | Oct 3, 2025 |
| Performance & Speed | ||
| Throughput | 152.8 tok/s | 126.3 tok/s |
| TTFT | 529ms | 1170ms |
| Latency | 529ms | 17003ms |
| Composite Indices | ||
| Value Score | 3.7 | 100.0 |
| Reasoning Score | 25.4 | 53.0 |
| Intelligence | 17.3 | 19.7 |
| Coding | 16.7 | 13.1 |
| Math | 6.0 | 82.3 |
| Standard Benchmarks | ||
| GPQA | 54.3% | 72.0% |
| MMLU Pro | 74.8% | 80.7% |
| HLE | 3.3% | 8.7% |
| LiveCodeBench | 30.9% | 69.7% |
| MATH 500 | 75.9% | — |
| AIME 2025 | 6.0% | 82.3% |
| AIME (Original) | 15.0% | — |
| SciCode | 33.3% | 28.8% |
| LCR | 0.0% | 40.7% |
| IFBench | 34.3% | 45.1% |
| TAU-bench v2 | 25.1% | 19.9% |
| TerminalBench Hard | 8.3% | 5.3% |
Key Takeaways
Qwen3 VL 30B A3B (Reasoning) offers the best value at $0.20/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 VL 30B A3B (Reasoning) has the strongest reasoning profile with a 53.0 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-4o (Nov '24) reaches a 16.7 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
GPT-4o (Nov '24)
- Code generation
- Software development
Qwen3 VL 30B A3B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
