Claude Opus 4.8 vs DeepSeek-V4-Flash-0731
Claude Opus 4.8 and DeepSeek-V4-Flash-0731 are closely matched at 50.8 and 44.7 on the LLM Stats Score. DeepSeek-V4-Flash-0731 is 111.1x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude Opus 4.8 and DeepSeek-V4-Flash-0731 are closely matched on the overall LLM Stats Score at 50.8 and 44.7.
The models split the 2 individual benchmarks reported for both models evenly.
On price, DeepSeek-V4-Flash-0731 is roughly 111.1x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Opus 4.8
- you want predictable pricing at $5.00/M input and $25.00/M output
Choose DeepSeek-V4-Flash-0731
- cost matters — it's about 111.1x 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
27 reported for Claude Opus 4.8 · 9 for DeepSeek-V4-Flash-0731
Claude Opus 4.8 outperforms in 1 benchmarks (CyberGym), while DeepSeek-V4-Flash-0731 is better at 1 benchmark (Toolathlon).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.8 ($5.00/1M tokens) is 83.3x more expensive than DeepSeek-V4-Flash-0731 ($0.06/1M tokens).
For output processing, Claude Opus 4.8 ($25.00/1M tokens) is 138.9x more expensive than DeepSeek-V4-Flash-0731 ($0.18/1M tokens).
In conclusion, Claude Opus 4.8 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 4.8's 1,000,000 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while Claude Opus 4.8 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Opus 4.8 supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
Claude Opus 4.8 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 4.8
DeepSeek-V4-Flash-0731
License
Usage and distribution terms
Claude Opus 4.8 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 4.8 was released on 2026-05-28, while DeepSeek-V4-Flash-0731 was released on 2026-07-31.
DeepSeek-V4-Flash-0731 is 2 months newer than Claude Opus 4.8.
May 28, 2026
3 months ago
Jul 31, 2026
1 months ago
2mo 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 4.8 is available from Anthropic, DeepInfra, Vertex AI. DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks.
Claude Opus 4.8
DeepSeek-V4-Flash-0731
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.8 and DeepSeek-V4-Flash-0731 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.8 vs DeepSeek-V4-Flash-0731.