Model Comparison
Qwen3 235B A22B 2507 (Reasoning)
vs. GPT-5.6 Sol (max)
Comparing 2 AI models · 12 benchmarks · Alibaba, OpenAI
Recommended Pick
OpGPT-5.6 Sol (max)10 metric winsStrongest on: Throughput, Intelligence, Coding
Best Value
Qwen3 235B A22B 2507 (Reasoning)
100.0 value score
69.7 reasoning / $2.63/1M
Lowest Price
Qwen3 235B A22B 2507 (Reasoning)
$0.70/1M input price
Best Reasoning
Qwen3 235B A22B 2507 (Reasoning)
69.7 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 235B A22B 2507 (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 235B A22B 2507 (Reasoning) is 7.1x cheaper on input tokens than GPT-5.6 Sol (max).
Speed gap
GPT-5.6 Sol (max) generates about 1.1x as many tokens per second as Qwen3 235B A22B 2507 (Reasoning).
Reasoning gap
Qwen3 235B A22B 2507 (Reasoning) leads GPT-5.6 Sol (max) by 3.0 points on reasoning.
Coding gap
GPT-5.6 Sol (max) leads Qwen3 235B A22B 2507 (Reasoning) by 55.3 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 235B A22B 2507 (Reasoning)
Alibaba
TTFT
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tok/s
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GPT-5.6 Sol (max)
OpenAI
TTFT
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tok/s
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Tokens
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 235B A22B 2507 (Reasoning) | Top Pick Op GPT-5.6 Sol (max) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $5.00/1M |
| Output Cost | $8.40/1M | $30.00/1M |
| Blended (3:1) | $2.63/1M | $11.25/1M |
| Specifications | ||
| Organization | Alibaba | OpenAI |
| Release Date | Jul 25, 2025 | Jul 9, 2026 |
| Performance & Speed | ||
| Throughput | 64.6 tok/s | 73.9 tok/s |
| TTFT | 1199ms | 99028ms |
| Latency | 32164ms | 99028ms |
| Composite Indices | ||
| Value Score | 100.0 | 22.3 |
| Reasoning Score | 69.7 | 66.7 |
| Intelligence | 19.6 | 58.9 |
| Coding | 22.1 | 77.4 |
| Math | 91.0 | — |
| Standard Benchmarks | ||
| GPQA | 79.0% | 94.1% |
| MMLU Pro | 84.3% | — |
| HLE | 15.0% | 47.2% |
| LiveCodeBench | 78.8% | — |
| MATH 500 | 98.4% | — |
| AIME 2025 | 91.0% | — |
| AIME (Original) | 94.0% | — |
| SciCode | 42.4% | 56.1% |
| LCR | 67.0% | 73.7% |
| IFBench | 51.2% | 72.7% |
| TAU-bench v2 | 53.2% | 85.1% |
| TerminalBench Hard | 13.6% | 65.9% |
Key Takeaways
Qwen3 235B A22B 2507 (Reasoning) offers the best value at $0.70/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 235B A22B 2507 (Reasoning) has the strongest reasoning profile with a 69.7 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 235B A22B 2507 (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
GPT-5.6 Sol (max)
- Code generation
- Software development
