DeepSeek V4.1 Flash 1017
deepseek/v4-1-flash-1017Par DeepSeek · famille: deepseek-flash · sorti 2026-10-17 · fin de connaissance: 2025-05
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacités
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.
Coding100
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)20/20
- Provider availability10/10
Agents100
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output100
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume20/20
Cost efficiency90
- Headline price (log-scaled)85/95
- Has prompt-cache pricing5/5
Long context91
- Context window (100K → 2M)81/90
- Has published price for full window10/10
Vision100
- Accepts image input50/50
- Context window (10K → 1M)30/30
- Has published price10/10
- Provider availability10/10
Production-readiness96
- Number of independent providers40/40
- 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 | $0.24 < $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 | $0.48 < $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 | $0.12 < $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 | $0.40 < $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 | $0.53 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Détail des tarifs
Tarif recommandé de engy · deepseek-v4.1-flash-1017
Disponible chez 17 fournisseurs
| Fournisseur | ID modèle fournisseur | Entrée / 1M | Sortie / 1M | Contexte | Publié le |
|---|---|---|---|---|---|
| OpenRouter openrouter | deepseek/deepseek-v4.1-flash-1017 | $0.150 | $0.600 | 1.05M | 2026-10-17 |
| Vercel AI Gateway vercel | deepseek/deepseek-v4.1-flash-1017 | $0.075 | $0.300 | 1M | 2026-10-17 |
| Deep Infra deepinfra | deepseek-ai/DeepSeek-V4.1-Flash-1017 | $0.200 | $0.600 | 1.05M | 2026-10-17 |
| engy engy | deepseek-v4.1-flash-1017 | $0.040 | $0.080 | 1.05M | 2026-09-10 |
| NanoGPT nano-gpt | deepseek/deepseek-v4.1-flash-1017 | $0.150 | $0.600 | 1.05M | 2026-10-17 |
| Baseten baseten | deepseek-ai/DeepSeek-V4.1-Flash-1017 | $0.300 | $1.20 | 1.05M | 2026-10-17 |
| LLM Gateway llmgateway-providers | deepseek/deepseek-v4.1-flash-1017 | $0.150 | $0.600 | 1.05M | 2026-10-17 |
| LLM Gateway llmgateway-providers | inference.net/deepseek-v4.1-flash-1017 | $0.300 | $1.00 | 262K | 2026-10-17 |
| Kilo Gateway kilo | deepseek/deepseek-v4.1-flash-1017 | $0.150 | $0.600 | 1.05M | 2026-10-17 |
| Ollama Cloud ollama-cloud | deepseek-v4.1-flash:1017 | $0.150 | $0.600 | 1.05M | 2026-10-17 |
| Merge Gateway merge-gateway | deepseek/deepseek-v4.1-flash-1017 | $0.150 | $0.600 | 1M | 2026-10-17 |
| Eden AI edenai | deepinfra/deepseek-ai/DeepSeek-V4.1-Flash-1017 | $0.200 | $0.600 | 1.05M | 2026-10-17 |
| Eden AI edenai | tensorx/deepseek/deepseek-v4.1-flash-1017 | $0.500 | $1.50 | 1.05M | 2026-10-17 |
| Requesty requesty | deepseek-v4.1-flash-1017 | $0.500 | $1.50 | 1.05M | 2026-10-17 |
| DevPass (LLM Gateway) llmgateway | deepseek-v4.1-flash-1017 | $0.150 | $0.600 | 1.05M | 2026-10-17 |
| Prime Inference prime | deepseek/deepseek-v4.1-flash-1017 | $0.300 | $1.20 | 1.05M | 2026-10-17 |
| Cortecs cortecs | deepseek-v4.1-flash-1017 | $0.511 | $1.53 | 1.05M | 2026-10-17 |
Incohérences de données entre fournisseurs
- context_window varies: 1000000, 1048576, 1050000, 262144
- release_date varies (span 37d): 2026-09-10, 2026-10-17
Les fournisseurs rapportent des valeurs différentes pour ce modèle. Les infos clés ci-dessus utilisent un fournisseur représentatif ; voir le tableau pour le détail par fournisseur.
Frequently asked questions
How much does DeepSeek V4.1 Flash 1017 cost?
DeepSeek V4.1 Flash 1017 costs $0.040 per 1M input tokens and $0.080 per 1M output tokens, sourced from engy. 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 V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 has a context window of 1.05M tokens, with a max output of 393K tokens per reply. This is the total combined size of prompt + completion.
Does DeepSeek V4.1 Flash 1017 support tool calling?
Yes. DeepSeek V4.1 Flash 1017 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 V4.1 Flash 1017 support structured output / JSON mode?
Yes. DeepSeek V4.1 Flash 1017 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 V4.1 Flash 1017 accept image input?
Yes. DeepSeek V4.1 Flash 1017 accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check DeepSeek's docs for the exact rule.
Is DeepSeek V4.1 Flash 1017 open-weight?
Yes. DeepSeek V4.1 Flash 1017'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 V4.1 Flash 1017?
If DeepSeek V4.1 Flash 1017 doesn't fit, consider DeepSeek-V4.1-Flash, DeepSeek V4 Pro, DeepSeek V4 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.
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Capability lists this model is in
Dernière mise à jour :
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.