DeepSeek V4 Flash vs o1 (Comparative Analysis)
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Comparative Analysis: DeepSeek V4 Flash vs. o1
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Overview
o1 was released 1 year before DeepSeek V4 Flash.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 200K tokens |
Output Token Limit Maximum output tokens this model can generate at once | Not specified tokens | 100K tokens |
Release Date When this model first became publicly available | April 24, 2026 3 months ago April 24th, 2026 | December 17, 2024 1 year ago December 17th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | October 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V4 Flash | o1 | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image📁File |
Reasoning Controls Defaults and configurable reasoning effort | OptionalEffort: Extra High, HighDefault: High | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
DeepSeek V4 Flash is significantly less expensive compared to o1 for input tokens and significantly less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.09 per million tokens | $15.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.19 per million tokens | $60.00 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | $0.02 per million tokens | $7.50 per million tokens |
Benchmarks
Compare relevant benchmarks between DeepSeek V4 Flash and o1.
Intelligence Index Overall model quality across independent evaluations | 40.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 56.2 (Artificial Analysis index; higher is better) | 39.7 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 31.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,254 Elo (#32 in Game Dev (50.4% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes DeepSeek V4 Flash and o1 unique.
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