Model Comparison
Qwen3 235B A22B 2507 Instruct
vs. GPT-5.5 (xhigh)
Comparing 2 AI models · 12 benchmarks · Alibaba, OpenAI
Recommended Pick
Op GPT-5.5 (xhigh) 9 metric wins Strongest on: Reasoning, Intelligence, GPQA
Best Value
Qwen3 235B A22B 2507 Instruct
100.0 value score
59.6 reasoning / $0.36/1M
Lowest Price
Qwen3 235B A22B 2507 Instruct
$0.20/1M input price
Best Reasoning
GPT-5.5 (xhigh)
64.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.5 (xhigh)
74.9 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 Instruct has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 235B A22B 2507 Instruct is 25x cheaper on input tokens than GPT-5.5 (xhigh).
Reasoning gap
GPT-5.5 (xhigh) leads Qwen3 235B A22B 2507 Instruct by 4.6 points on reasoning.
Top-pick rationale
GPT-5.5 (xhigh) 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 235B A22B 2507 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-5.5 (xhigh)
OpenAI
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Al Qwen3 235B A22B 2507 Instruct | Top Pick Op GPT-5.5 (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.20/1M | $5.00/1M |
| Output Cost | $0.82/1M | $30.00/1M |
| Blended (3:1) | $0.36/1M | $11.25/1M |
| Specifications | ||
| Organization | Alibaba | OpenAI |
| Release Date | Jul 21, 2025 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | 68.9 tok/s | 66.8 tok/s |
| TTFT | 1123ms | 23584ms |
| Latency | 1123ms | 23584ms |
| Composite Indices | ||
| Value Score | 100.0 | 3.4 |
| Reasoning Score | 59.6 | 64.2 |
| Intelligence | 18.2 | 54.8 |
| Coding | — | 74.9 |
| Math | 71.7 | — |
| Standard Benchmarks | ||
| GPQA | 75.3% | 93.5% |
| MMLU Pro | 82.8% | — |
| HLE | 10.6% | 44.3% |
| LiveCodeBench | 52.4% | — |
| MATH 500 | 98.0% | — |
| AIME 2025 | 71.7% | — |
| AIME (Original) | 71.7% | — |
| SciCode | 36.0% | 56.1% |
| LCR | 31.2% | 74.3% |
| IFBench | 46.1% | 75.9% |
| TAU-bench v2 | 33.3% | 93.9% |
| TerminalBench Hard | 15.2% | 60.6% |
Key Takeaways
Qwen3 235B A22B 2507 Instruct offers the best value at $0.20/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.5 (xhigh) has the strongest reasoning profile with a 64.2 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.5 (xhigh) reaches a 74.9 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 Instruct
- Cost-sensitive applications
- High-volume processing
GPT-5.5 (xhigh)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
