Rank #4
DeepSeek: DeepSeek V4 Flash Latest
- LLM
- 1.3M ctx
- 1M
- $0.29
Model · Vendors
DeepSeek
Ranked models from this vendor or team on Global rankings (same data snapshot as the main global board).
Board snapshot:
About this vendor
DeepSeek is a Chinese AI lab known for cost-efficient V3 and R1 reasoning models with strong coding and math performance. AI Hippo tracks every DeepSeek listing in our catalog—compare ranks, context windows, and snapshot OpenRouter pricing, or open Compare to pit DeepSeek against Claude and GPT picks.
Vendor snapshot
Catalog models 19
Ranked on Global board 2
Best rank #4
Price range (avg/1M) $0.13–$2.35/1M
Max context 1.3M ctx
Model types
Origins
Top ranked models
Rank #6
DeepSeek: DeepSeek V4 Flash 0731
- LLM
- 1.3M ctx
- 1M
- $0.34
Models on this board · Global rankings
| Rank | Name | Type | Key metric | 1M tokens (avg) |
|---|---|---|---|---|
| 4 | DeepSeek: DeepSeek V4 Flash Latest | LLM | 1.3M ctx | $0.29 |
| 6 | DeepSeek: DeepSeek V4 Flash 0731 | LLM | 1.3M ctx | $0.34 |
Catalog models (not in ranking)
| Rank | Name | Size | Price | Notes |
|---|---|---|---|---|
| — | DeepSeek: DeepSeek Flash Latest | 1.0M ctx | $0.30/1M | ~deepseek/deepseek-flash-latest |
| — | DeepSeek: DeepSeek Pro Latest | 1.0M ctx | $2.35/1M | ~deepseek/deepseek-pro-latest |
| — | DeepSeek: DeepSeek V3 | 164k ctx | $0.60/1M | deepseek/deepseek-chat |
| — | DeepSeek: DeepSeek V3 0324 | 164k ctx | $0.63/1M | deepseek/deepseek-chat-v3-0324 |
| — | DeepSeek: DeepSeek V3.1 | 164k ctx | $0.60/1M | deepseek/deepseek-chat-v3.1 |
| — | DeepSeek: DeepSeek V3.1 Terminus | 164k ctx | $0.64/1M | deepseek/deepseek-v3.1-terminus |
| — | DeepSeek: DeepSeek V3.2 | 164k ctx | $0.33/1M | deepseek/deepseek-v3.2 |
| — | DeepSeek: DeepSeek V3.2 Exp | 164k ctx | $0.34/1M | deepseek/deepseek-v3.2-exp |
| — | DeepSeek: DeepSeek V4 Flash 0423 | 1.0M ctx | $0.13/1M | deepseek/deepseek-v4-flash |
| — | DeepSeek: DeepSeek V4 Flash 0731 | 1.3M ctx | $0.34/1M | deepseek/deepseek-v4-flash-0731 |
| — | DeepSeek: DeepSeek V4 Flash Latest | 1.3M ctx | $0.29/1M | ~deepseek/deepseek-v4-flash-latest |
| — | DeepSeek: DeepSeek V4 Flash Vision Exp | 1.0M ctx | $0.44/1M | deepseek/deepseek-v4-flash-vision-exp |
| — | DeepSeek: DeepSeek V4 Pro 0423 | 1.0M ctx | $1.43/1M | deepseek/deepseek-v4-pro |
| — | DeepSeek: DeepSeek V4 Pro 0813 | 1.0M ctx | $1.00/1M | deepseek/deepseek-v4-pro-0813 |
| — | DeepSeek: DeepSeek V4.1 Flash | 1.0M ctx | $0.38/1M | deepseek/deepseek-v4.1-flash |
| — | DeepSeek: DeepSeek V4.1 Flash (batch) | 1.0M ctx | $0.22/1M | deepseek/deepseek-v4.1-flash:batch |
| — | DeepSeek: R1 | 64k ctx | $1.60/1M | deepseek/deepseek-r1 |
| — | DeepSeek: R1 0528 | 164k ctx | $1.32/1M | deepseek/deepseek-r1-0528 |
| — | DeepSeek: R1 Distill Llama 70B | 8k ctx | $0.80/1M | deepseek/deepseek-r1-distill-llama-70b |
Data sources & methodology
Counts and prices come from the OpenRouter catalog snapshot merged with AI Hippo Global rankings (same snapshot as /rankings/). Rank reflects the composite score on that board—not LMSYS Chatbot Arena ELO. Snapshot date: 2026-09-23. Methodology
FAQ
What is DeepSeek's highest-ranked model?
DeepSeek: DeepSeek V4 Flash Latest currently ranks #4 on AI Hippo's Global rankings board (snapshot 2026-09-23).
What does DeepSeek charge per 1M tokens?
Across catalog and ranked rows, blended 1M-token prices range from $0.13 to $2.35 in the latest snapshot (2026-09-23). Check individual model pages for prompt vs completion splits.
How many DeepSeek models are ranked vs catalog-only?
2 of 19 catalog models appear on Global rankings; the remaining 17 are listed under catalog-only on this page.
Can I compare DeepSeek models?
Yes—use the compare link on this page or open /en/compare/?m=DeepSeek%3A%20DeepSeek%20V4%20Flash%20Latest&m=DeepSeek%3A%20DeepSeek%20V4%20Flash%200731 to side-by-side context, price, and composite score for the top ranked models.
How is the Global rankings score calculated?
Global rankings uses on-site weighting (context window first, then blended 1M-token price)—not third-party ELO. Full methodology: /en/methodology/