Model Comparison
GPT-5.1 Codex (high)
vs. Qwen3.7 Max
Comparing 2 AI models · 10 benchmarks · OpenAI, Alibaba
Recommended Pick
Al Qwen3.7 Max 11 metric wins Strongest on: Output price, TTFT, Intelligence
Best Value
GPT-5.1 Codex (high)
100.0 value score
68.8 reasoning / $3.44/1M
Lowest Price
GPT-5.1 Codex (high)
$1.25/1M input price
Best Reasoning
GPT-5.1 Codex (high)
68.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.7 Max
50.1 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
GPT-5.1 Codex (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-5.1 Codex (high) is 2.0x cheaper on input tokens than Qwen3.7 Max.
Reasoning gap
GPT-5.1 Codex (high) leads Qwen3.7 Max by 6.4 points on reasoning.
Coding gap
Qwen3.7 Max leads GPT-5.1 Codex (high) by 13.5 points on coding.
Top-pick rationale
Qwen3.7 Max wins 11 measurable categories, including Output price, TTFT, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5.1 Codex (high)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.7 Max
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op GPT-5.1 Codex (high) | Top Pick Al Qwen3.7 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $2.50/1M |
| Output Cost | $10.00/1M | $7.50/1M |
| Blended (3:1) | $3.44/1M | $3.75/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Nov 13, 2025 | May 19, 2026 |
| Performance & Speed | ||
| Throughput | 188.6 tok/s | 186.5 tok/s |
| TTFT | 4020ms | 1736ms |
| Latency | 4020ms | 14655ms |
| Composite Indices | ||
| Value Score | 100.0 | 83.1 |
| Reasoning Score | 68.8 | 62.3 |
| Intelligence | 43.1 | 56.6 |
| Coding | 36.6 | 50.1 |
| Math | 95.7 | — |
| Standard Benchmarks | ||
| GPQA | 86.0% | 92.3% |
| MMLU Pro | 86.0% | — |
| HLE | 23.4% | 38.1% |
| LiveCodeBench | 84.9% | — |
| AIME 2025 | 95.7% | — |
| SciCode | 40.2% | 48.8% |
| LCR | 67.3% | 69.0% |
| IFBench | 70.0% | 80.5% |
| TAU-bench v2 | 83.0% | 94.7% |
| TerminalBench Hard | 34.8% | 50.8% |
Key Takeaways
GPT-5.1 Codex (high) offers the best value at $1.25/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.1 Codex (high) has the strongest reasoning profile with a 68.8 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.7 Max reaches a 50.1 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-5.1 Codex (high)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Qwen3.7 Max
- Code generation
- Software development
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