Model Comparison
Claude Opus 5 vs DeepSeek-V4-Flash-0731Which is better in 2026?
Claude Opus 5 significantly outperforms across most benchmarks. DeepSeek-V4-Flash-0731 is 88.9x cheaper per token.
Verdict: Claude Opus 5 vs DeepSeek-V4-Flash-0731 — which is better?
Claude Opus 5 (by Anthropic) and DeepSeek-V4-Flash-0731 (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Claude Opus 5 outperforms in 1 benchmarks (AutomationBench), while DeepSeek-V4-Flash-0731 is better at 0 benchmarks. Claude Opus 5 significantly outperforms across most benchmarks.
On price, DeepSeek-V4-Flash-0731 is roughly 88.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Opus 5 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
Choose DeepSeek-V4-Flash-0731 if…
- cost matters — it's about 88.9x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Opus 5 outperforms in 1 benchmarks (AutomationBench), while DeepSeek-V4-Flash-0731 is better at 0 benchmarks.
Claude Opus 5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 5 ($5.00/1M tokens) is 55.6x more expensive than DeepSeek-V4-Flash-0731 ($0.09/1M tokens).
For output processing, Claude Opus 5 ($25.00/1M tokens) is 138.9x more expensive than DeepSeek-V4-Flash-0731 ($0.18/1M tokens).
In conclusion, Claude Opus 5 is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Claude Opus 5's 1,000,000 tokens. Claude Opus 5 can generate longer responses up to 128,000 tokens, while DeepSeek-V4-Flash-0731 is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Claude Opus 5 supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
Claude Opus 5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 5
DeepSeek-V4-Flash-0731
License
Usage and distribution terms
Claude Opus 5 is licensed under a proprietary license, while DeepSeek-V4-Flash-0731 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Opus 5 was released on 2026-07-24, while DeepSeek-V4-Flash-0731 was released on 2026-07-31.
DeepSeek-V4-Flash-0731 is 0 month newer than Claude Opus 5.
Jul 24, 2026
1 weeks ago
Jul 31, 2026
3 days ago
1w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Opus 5 is available from Anthropic. DeepSeek-V4-Flash-0731 is available from DeepInfra, Fireworks, Novita.
Claude Opus 5
DeepSeek-V4-Flash-0731
Outputs Comparison
Key Takeaways
Claude Opus 5
View detailsAnthropic
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Claude Opus 5 and DeepSeek-V4-Flash-0731 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Claude Opus 5 vs DeepSeek-V4-Flash-0731.