DeepSeek Chat
deepseek/chatОт DeepSeek · семейство: deepseek · выпуск 2025-12-01 · дата знаний: 2025-09
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Возможности
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding71
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)4/20
- Provider availability7/10
Agents77
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit10/15
- Provider availability7/10
JSON / structured output99
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency76
- Headline price (log-scaled)71/95
- Has prompt-cache pricing5/5
Long context51
- Context window (100K → 2M)41/90
- Has published price for full window10/10
Production-readiness91
- Number of independent providers35/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.88 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $1.77 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.44 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $1.47 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $1.94 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Детализация цен
Рекомендованная цена от orcarouter · deepseek/deepseek-chat
Доступна у 7 провайдеров
| Провайдер | ID модели провайдера | Вход / 1M | Выход / 1M | Контекст | Выпуск |
|---|---|---|---|---|---|
| OpenRouter openrouter | deepseek/deepseek-chat | $0.257 | $1.03 | 164K | 2025-12-01 |
| NanoGPT nano-gpt | deepseek-chat | $0.100 | $0.425 | 128K | 2025-12-01 |
| Kilo Gateway kilo | deepseek/deepseek-chat | $0.257 | $1.03 | 128K | 2025-12-01 |
| ZenMux zenmux | deepseek/deepseek-chat | $0.280 | $0.420 | 128K | 2025-12-01 |
| AnyAPI anyapi | deepseek/deepseek-chat | Unknown | Unknown | 1M | 2025-12-01 |
| OrcaRouter orcarouter | deepseek/deepseek-chat | $0.147 | $0.295 | 1M | 2025-12-01 |
| Eden AI edenai | deepseek/deepseek-chat | $0.150 | $0.600 | 131K | 2025-12-01 |
Расхождения данных между провайдерами
- context_window varies: 1000000, 128000, 131072, 163840
- modalities varies across offerings
Провайдеры сообщают разные значения для этой модели. Сводка выше использует репрезентативного провайдера; детали — в таблице.
Frequently asked questions
How much does DeepSeek Chat cost?
DeepSeek Chat costs $0.147 per 1M input tokens and $0.295 per 1M output tokens, sourced from orcarouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of DeepSeek Chat?
DeepSeek Chat has a context window of 164K tokens, with a max output of 16K tokens per reply. This is the total combined size of prompt + completion.
Does DeepSeek Chat support tool calling?
Yes. DeepSeek Chat supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does DeepSeek Chat support structured output / JSON mode?
Yes. DeepSeek Chat supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can DeepSeek Chat accept image input?
No. DeepSeek Chat only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is DeepSeek Chat open-weight?
Yes. DeepSeek Chat's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to DeepSeek Chat?
If DeepSeek Chat doesn't fit, consider DeepSeek V4 Pro, DeepSeek V4 Flash, DeepSeek V4.1 Flash. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More DeepSeek models
- DeepSeek V4 Pro$0.43 in / $0.87 out
- DeepSeek V4 Flash$0.15 in / $0.60 out
- DeepSeek V4.1 Flash$0.14 in / $0.28 out
- DeepSeek V4 Flash 0731$0.04 in / $0.07 out
- DeepSeek V4 Pro 0813$0.35 in / $0.80 out
Capability lists this model is in
Последнее обновление:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.