Model Comparison
Qwen3 VL 32B Instruct
vs. GPT-5.6 Sol (max)
Comparing 2 AI models · 10 benchmarks · Alibaba, OpenAI
Recommended Pick
OpGPT-5.6 Sol (max)9 metric winsStrongest on: Reasoning, Intelligence, GPQA
Best Value
Qwen3 VL 32B Instruct
100.0 value score
44.2 reasoning / $1.22/1M
Lowest Price
Qwen3 VL 32B Instruct
$0.70/1M input price
Best Reasoning
GPT-5.6 Sol (max)
66.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.6 Sol (max)
77.4 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 32B Instruct has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 VL 32B Instruct is 7.1x cheaper on input tokens than GPT-5.6 Sol (max).
Speed gap
Qwen3 VL 32B Instruct generates about 1.1x as many tokens per second as GPT-5.6 Sol (max).
Reasoning gap
GPT-5.6 Sol (max) leads Qwen3 VL 32B Instruct by 22.5 points on reasoning.
Top-pick rationale
GPT-5.6 Sol (max) wins 9 measurable categories, including Reasoning, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 VL 32B Instruct
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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GPT-5.6 Sol (max)
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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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 VL 32B Instruct | Top Pick Op GPT-5.6 Sol (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $5.00/1M |
| Output Cost | $2.80/1M | $30.00/1M |
| Blended (3:1) | $1.22/1M | $11.25/1M |
| Specifications | ||
| Organization | Alibaba | OpenAI |
| Release Date | Oct 21, 2025 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | 80.4 tok/s | 73.2 tok/s |
| TTFT | 1342ms | 74846ms |
| Latency | 1342ms | 74846ms |
| Composite Indices | ||
| Value Score | 100.0 | 16.4 |
| Reasoning Score | 44.2 | 66.7 |
| Intelligence | 11.1 | 58.9 |
| Coding | — | 77.4 |
| Math | 68.3 | — |
| Standard Benchmarks | ||
| GPQA | 67.1% | 94.1% |
| MMLU Pro | 79.1% | — |
| HLE | 6.3% | 47.2% |
| LiveCodeBench | 51.4% | — |
| AIME 2025 | 68.3% | — |
| SciCode | 30.1% | 56.1% |
| LCR | 31.3% | 73.7% |
| IFBench | 39.2% | 72.7% |
| TAU-bench v2 | 29.2% | 85.1% |
| TerminalBench Hard | 8.3% | 65.9% |
Key Takeaways
Qwen3 VL 32B Instruct offers the best value at $0.70/1M,making it ideal for high-volume applications and cost-conscious projects.
GPT-5.6 Sol (max) has the strongest reasoning profile with a 66.7 reasoning score,combining the available reasoning-heavy benchmarks.
GPT-5.6 Sol (max) reaches a 77.4 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
Qwen3 VL 32B Instruct
- Cost-sensitive applications
- High-volume processing
GPT-5.6 Sol (max)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
