Model Comparison
Qwen3 Max Thinking
vs. GPT-5.2 Codex (xhigh)
Comparing 2 AI models · 7 benchmarks · Alibaba, OpenAI
Recommended Pick
Strongest on: Throughput, Reasoning, Intelligence
Best Value
Qwen3 Max Thinking
100.0 value score
50.7 reasoning / $2.40/1M
Lowest Price
Qwen3 Max Thinking
$1.20/1M input price
Best Reasoning
GPT-5.2 Codex (xhigh)
57.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.2 Codex (xhigh)
43.0 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 Max Thinking has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 Max Thinking is 1.5x cheaper on input tokens than GPT-5.2 Codex (xhigh).
Reasoning gap
GPT-5.2 Codex (xhigh) leads Qwen3 Max Thinking by 6.8 points on reasoning.
Coding gap
GPT-5.2 Codex (xhigh) leads Qwen3 Max Thinking by 12.5 points on coding.
Top-pick rationale
GPT-5.2 Codex (xhigh) wins 11 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 Max Thinking
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-5.2 Codex (xhigh)
OpenAI
TTFT
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Time
—
tok/s
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Tokens
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Cost
—
Which answer was more useful?
Full Comparison
| Metric | Al Qwen3 Max Thinking | Top Pick Op GPT-5.2 Codex (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.20/1M | $1.75/1M |
| Output Cost | $6.00/1M | $14.00/1M |
| Blended (3:1) | $2.40/1M | $4.81/1M |
| Specifications | ||
| Organization | Alibaba | OpenAI |
| Release Date | Jan 26, 2026 | Dec 11, 2025 |
| Performance & Speed | ||
| Throughput | — | 127.9 tok/s |
| TTFT | — | 2040ms |
| Latency | — | 2040ms |
| Composite Indices | ||
| Value Score | 100.0 | 56.5 |
| Reasoning Score | 50.7 | 57.5 |
| Intelligence | 39.8 | 49.0 |
| Coding | 30.5 | 43.0 |
| Standard Benchmarks | ||
| GPQA | 86.1% | 89.9% |
| HLE | 26.2% | 33.5% |
| SciCode | 43.1% | 54.6% |
| LCR | 66.0% | 75.7% |
| IFBench | 70.7% | 77.6% |
| TAU-bench v2 | 83.6% | 92.1% |
| TerminalBench Hard | 24.2% | 37.1% |
Key Takeaways
Qwen3 Max Thinking offers the best value at $1.20/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.2 Codex (xhigh) has the strongest reasoning profile with a 57.5 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.2 Codex (xhigh) reaches a 43.0 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 Max Thinking
- Cost-sensitive applications
- High-volume processing
GPT-5.2 Codex (xhigh)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development