Model Comparison
V4 Flash 0731 (Reasoning, Max Effort)
vs. Qwen3.7 Max
Comparing 2 AI models · 7 benchmarks · DeepSeek, Alibaba
Recommended Pick
DeV4 Flash 0731 (Reasoning, Max Effort)10 metric winsStrongest on: Value, Input price, Output price
Best Value
V4 Flash 0731 (Reasoning, Max Effort)
100.0 value score
59.2 reasoning / $0.18/1M
Lowest Price
V4 Flash 0731 (Reasoning, Max Effort)
$0.14/1M input price
Best Reasoning
V4 Flash 0731 (Reasoning, Max Effort)
59.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
V4 Flash 0731 (Reasoning, Max Effort)
69.1 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
V4 Flash 0731 (Reasoning, Max Effort) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
V4 Flash 0731 (Reasoning, Max Effort) is 17.9x cheaper on input tokens than Qwen3.7 Max.
Reasoning gap
V4 Flash 0731 (Reasoning, Max Effort) leads Qwen3.7 Max by 0.4 points on reasoning.
Coding gap
V4 Flash 0731 (Reasoning, Max Effort) leads Qwen3.7 Max by 3.1 points on coding.
Top-pick rationale
V4 Flash 0731 (Reasoning, Max Effort) wins 10 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
V4 Flash 0731 (Reasoning, Max Effort)
DeepSeek
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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Qwen3.7 Max
Alibaba
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?
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Full Comparison
| Metric | Top Pick De V4 Flash 0731 (Reasoning, Max Effort) | Al Qwen3.7 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.14/1M | $2.50/1M |
| Output Cost | $0.28/1M | $7.50/1M |
| Blended (3:1) | $0.18/1M | $3.75/1M |
| Specifications | ||
| Organization | DeepSeek | Alibaba |
| Release Date | Jul 31, 2026 | May 19, 2026 |
| Performance & Speed | ||
| Throughput | — | 201.6 tok/s |
| TTFT | — | 1593ms |
| Latency | — | 13540ms |
| Composite Indices | ||
| Value Score | 100.0 | 4.6 |
| Reasoning Score | 59.2 | 58.8 |
| Intelligence | 49.9 | 46.0 |
| Coding | 69.1 | 66.0 |
| Standard Benchmarks | ||
| GPQA | 90.8% | 92.3% |
| HLE | 36.8% | 38.1% |
| SciCode | 49.9% | 48.8% |
| LCR | 65.7% | 69.0% |
| IFBench | — | 80.5% |
| TAU-bench v2 | — | 94.7% |
| TerminalBench Hard | — | 50.8% |
Key Takeaways
V4 Flash 0731 (Reasoning, Max Effort) offers the best value at $0.14/1M,making it ideal for high-volume applications and cost-conscious projects.
V4 Flash 0731 (Reasoning, Max Effort) has the strongest reasoning profile with a 59.2 reasoning score,combining the available reasoning-heavy benchmarks.
V4 Flash 0731 (Reasoning, Max Effort) reaches a 69.1 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
V4 Flash 0731 (Reasoning, Max Effort)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3.7 Max
- General-purpose AI
- Versatile applications
