DeepSeek-V3.1
deepseek/v3-1Von DeepSeek · Familie: deepseek · veröffentlicht 2025-08-21 · Wissensstand: 2024-07
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Fähigkeiten
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.
Coding62
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability10/10
Agents75
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output48
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume18/20
Cost efficiency64
- Headline price (log-scaled)64/95
- Has prompt-cache pricing0/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Production-readiness94
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers4/10
- 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 | $1.35 < $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 | $2.70 < $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 | $0.75 < $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 | $2.30 < $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 | $2.82 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Preis-Details
Empfohlene Preise von nano-gpt · deepseek-ai/DeepSeek-V3.1
Bei 18 Anbietern verfügbar
| Anbieter | Anbieter-Modell-ID | Eingabe / 1M | Ausgabe / 1M | Kontext | Veröffentlicht |
|---|---|---|---|---|---|
| Azure azure | deepseek-v3.1 | $0.560 | $1.68 | 131K | 2025-08-21 |
| Vercel AI Gateway vercel | deepseek/deepseek-v3.1 | $0.300 | $1.00 | 164K | 2025-08-21 |
| Together AI togetherai | deepseek-ai/DeepSeek-V3-1 | $0.600 | $1.70 | 131K | 2025-08-21 |
| NanoGPT nano-gpt | TEE/deepseek-v3.1 | $1.00 | $2.50 | 164K | 2025-08-21 |
| NanoGPT nano-gpt | deepseek-ai/DeepSeek-V3.1 | $0.200 | $0.700 | 128K | 2025-07-26 |
| Abacus abacus | deepseek/deepseek-v3.1 | $0.550 | $1.66 | 128K | 2025-01-20 |
| submodel submodel | deepseek-ai/DeepSeek-V3.1 | $0.200 | $0.800 | 75K | 2025-08-23 |
| Alibaba (China) alibaba-cn | deepseek-v3-1 | $0.574 | $1.72 | 131K | 2025-01-01 |
| Jiekou.AI jiekou | deepseek/deepseek-v3.1 | $0.270 | $1.00 | 164K | 2026-01 |
| NovitaAI novita-ai | deepseek/deepseek-v3.1 | $0.270 | $1.00 | 131K | 2025-08-21 |
| Weights & Biases wandb | deepseek-ai/DeepSeek-V3.1 | $0.550 | $1.65 | 161K | 2025-08-21 |
| Qiniu qiniu-ai | deepseek-v3.1 | Unknown | Unknown | 128K | 2025-08-19 |
| Baseten baseten | deepseek-ai/DeepSeek-V3.1 | $0.500 | $1.50 | 164K | 2025-08-25 |
| Azure Cognitive Services azure-cognitive-services | deepseek-v3.1 | $0.560 | $1.68 | 131K | 2025-08-21 |
| Meganova meganova | deepseek-ai/DeepSeek-V3.1 | $0.270 | $1.00 | 164K | 2025-08-25 |
| Synthetic synthetic | hf:deepseek-ai/DeepSeek-V3.1 | $0.560 | $1.68 | 128K | 2025-08-21 |
| SiliconFlow siliconflow | deepseek-ai/DeepSeek-V3.1 | $0.270 | $1.00 | 164K | 2025-08-25 |
| LLM Gateway llmgateway | deepseek-v3.1 | $0.560 | $1.68 | 128K | 2025-08-21 |
Datenunterschiede zwischen Anbietern
- context_window varies: 128000, 131072, 161000, 163840, 164000, 75000
- release_date varies (span 365d): 2025-01-01, 2025-01-20, 2025-07-26, 2025-08-19, 2025-08-21, 2025-08-23, 2025-08-25, 2026-01
- modalities varies across offerings
Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.
Frequently asked questions
How much does DeepSeek-V3.1 cost?
DeepSeek-V3.1 costs $0.200 per 1M input tokens and $0.700 per 1M output tokens, sourced from nano-gpt. 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-V3.1?
DeepSeek-V3.1 has a context window of 131K tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.
Does DeepSeek-V3.1 support tool calling?
Yes. DeepSeek-V3.1 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-V3.1 support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for DeepSeek-V3.1 in our data source. Verify with DeepSeek's official documentation before relying on it in production.
Can DeepSeek-V3.1 accept image input?
No. DeepSeek-V3.1 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is DeepSeek-V3.1 open-weight?
Yes. DeepSeek-V3.1'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-V3.1?
If DeepSeek-V3.1 doesn't fit, consider DeepSeek-V3.2, DeepSeek V4 Pro, DeepSeek-R1-0528. 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 come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More DeepSeek models
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- DeepSeek V4 Pro$1.74 in / $3.48 out
- DeepSeek-R1-0528$0.40 in / $1.70 out
- DeepSeek-R1$0.40 in / $1.70 out
- DeepSeek V4 Flash$0.14 in / $0.28 out
Capability lists this model is in
Zuletzt aktualisiert:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.