Model Comparison
V4 Flash 0731 (Reasoning, Max Effort)
vs. Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
Comparing 2 AI models · 4 benchmarks · DeepSeek, Anthropic
Recommended Pick
AnClaude Opus 5 (Adaptive Reasoning, Xhigh Effort)8 metric winsStrongest on: Throughput, Reasoning, Intelligence
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
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
68.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
77.0 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
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 35.7x cheaper on input tokens than Claude Opus 5 (Adaptive Reasoning, Xhigh Effort).
Reasoning gap
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) leads V4 Flash 0731 (Reasoning, Max Effort) by 9.6 points on reasoning.
Coding gap
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) leads V4 Flash 0731 (Reasoning, Max Effort) by 7.9 points on coding.
Top-pick rationale
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) wins 8 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.
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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Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
Anthropic
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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Which answer was more useful?
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Full Comparison
| Metric | De V4 Flash 0731 (Reasoning, Max Effort) | Top Pick An Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.14/1M | $5.00/1M |
| Output Cost | $0.28/1M | $25.00/1M |
| Blended (3:1) | $0.18/1M | $10.00/1M |
| Specifications | ||
| Organization | DeepSeek | Anthropic |
| Release Date | Jul 31, 2026 | Jul 24, 2026 |
| Performance & Speed | ||
| Throughput | — | 54.7 tok/s |
| TTFT | — | 23014ms |
| Latency | — | 23014ms |
| Composite Indices | ||
| Value Score | 100.0 | 2.0 |
| Reasoning Score | 59.2 | 68.8 |
| Intelligence | 49.9 | 60.1 |
| Coding | 69.1 | 77.0 |
| Standard Benchmarks | ||
| GPQA | 90.8% | 93.7% |
| HLE | 36.8% | 52.5% |
| SciCode | 49.9% | 55.0% |
| LCR | 65.7% | 68.7% |
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.
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) has the strongest reasoning profile with a 68.8 reasoning score,combining the available reasoning-heavy benchmarks.
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) reaches a 77.0 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
V4 Flash 0731 (Reasoning, Max Effort)
- Cost-sensitive applications
- High-volume processing
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
