DeepSeek V4.1 Flash 1017 is available on Novita AI as a serverless API under the model ID deepseek/deepseek-v4.1-flash-1017. It is the October 17, 2026 update to DeepSeek V4.1 Flash: same 1M-token context, same $0.3 per 1M input and $1.2 per 1M output pricing on Novita AI, higher DeepSeek-reported agentic coding scores. It is the better default for coding agents, terminal automation, and tool-use pipelines; teams pinned to the earlier model ID can stay there without cost or availability pressure.
Key Takeaways
- DeepSeek V4.1 Flash 1017 is live on Novita AI with serverless, OpenAI-compatible access at the model ID in the specs table below.
- Pricing and limits did not move. Novita AI lists $0.3 per 1M input tokens, $0.006 per 1M cache-read tokens, and $1.2 per 1M output tokens, with a 1,048,576-token context and 393,216-token maximum output — identical to the earlier V4.1 Flash listing.
- Agentic coding improved. DeepSeek reports DeepSWE v1.1 at 77.0, up from 74.2 for the September release on the same benchmark version. Other figures use different benchmark versions and are not directly comparable.
- Both model IDs are online. The earlier
deepseek/deepseek-v4.1-flashentry remains listed at the same price, context, and output limit, so 1017 is a snapshot to adopt, not a forced migration. - DeepSeek’s Search API is separate. DeepSeek opened its Search and Fetch API the same day, but Novita AI’s 1017 page lists no hosted search or fetch capability.
What Is DeepSeek V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 is a minor update to DeepSeek V4.1 Flash, the multimodal Mixture-of-Experts model DeepSeek released on September 10, 2026. The web app and API moved to the new build, the API calling method is unchanged, and DeepSeek’s official pricing did not change. DeepSeek frames it as a performance–cost improvement, not a new generation.
The practical changes are benchmark results and serving efficiency. DeepSeek reports higher agentic scores and says the update reduced task runtime and output length — the part that matters for agents, where fewer decode tokens and tool-call round trips mean a lower bill for the same completed job.
On Novita AI it appears as its own model ID rather than replacing the previous entry. Both are reachable from the same OpenAI-compatible endpoint, with unchanged capabilities: text and image input, text output, reasoning, function calling, and structured outputs.
DeepSeek V4.1 Flash 1017 Specs and Pricing Summary
| Field | Details |
|---|---|
| Display name | DeepSeek V4.1 Flash 1017 |
| Model ID | deepseek/deepseek-v4.1-flash-1017 |
| Earlier model ID | deepseek/deepseek-v4.1-flash — same model line, pricing, context, and max output; still available |
| Base URL | https://api.novita.ai/openai |
| Endpoint family | Chat completions, Anthropic-compatible, Responses |
| Input modalities | Text, image |
| Output modality | Text |
| Context window | 1,048,576 tokens |
| Max output tokens | 393,216 tokens |
| Input price | $0.3 per 1M tokens |
| Cache-read price | $0.006 per 1M tokens |
| Output price | $1.2 per 1M tokens |
| Best fit | Coding agents and tool-use pipelines that benefit from higher agentic scores at unchanged pricing |
Specs and pricing from the Novita AI model pages, checked October 19, 2026. Both IDs are currently listed; 1017 is the newer snapshot of the same model.
The two IDs are not competing products: the same model at different build dates, with identical pricing, context, and output limits. Choose 1017 for the newer build; an existing deployment pinned to the undated ID keeps working at the same cost.
DeepSeek V4.1 Flash 1017 API Access on Novita AI
Novita AI serves the model through the OpenAI-compatible API at https://api.novita.ai/openai, along with Anthropic-compatible and Responses endpoint families. Set your base URL and API key as for any other Novita-hosted model, then pass deepseek/deepseek-v4.1-flash-1017 as the model value.
DeepSeek’s own platform points the alias deepseek-flash at its latest build, but that alias does not apply at Novita AI, where every request names an explicit model ID. Keep the ID in configuration so the next snapshot is a config change, not a redeploy.
For request fields, streaming, image formatting, and tool-call syntax, use the current Novita AI Create Chat Completion reference. The existing DeepSeek V4.1 Flash guide covers the architecture in more depth, and the three-model comparison is the place to start if you are still choosing between V4 Pro, V4 Flash, and this model.
Key Capabilities for Developers
Agentic Coding Gains in the 1017 Update
| Signal | 1017 result | Developer takeaway |
|---|---|---|
| DeepSWE v1.1 (Resolved) | 77.0 | Higher repo-scale issue-resolution rate than the September build’s 74.2 |
| Terminal-Bench 4.0 (Pass@1) | 42.3 | Stronger multi-step terminal tasks on this benchmark version |
| ProgramBench | 29.1 | Better at producing working code against a program specification |
| NL2Repo-Bench | 68.2 | Improved natural-language-to-repository generation |
| Automation-Bench v1.0.6 | 60.5 | Stronger multi-step browser and tool automation |
| Agents’ Last Exam | 35.4 | Gains on long-horizon agent tasks |
| Apex Bench v1.1 | 72.1 | Higher score on DeepSeek’s hard reasoning set |
Data from the DeepSeek API Change Log, checked October 19, 2026. DeepSWE v1.1 uses the Mini-SWE-V2 harness; Terminal-Bench 4.0 uses the Claude Code framework. Compare only against runs on the same benchmark version and harness.
Version discipline matters here. The only figure that lines up with the previously published V4.1 Flash release is DeepSWE v1.1: 74.2 for the September build, 77.0 for 1017, same benchmark version and metric. Older material reports Terminal-Bench 2.1 at 90.6 for September; 1017 reports Terminal-Bench 4.0 at 42.3. Different task sets on different harnesses — placing them side by side would imply a regression the results do not show.
The other change is efficiency, not accuracy: DeepSeek says task runtime and output length dropped, which shows up as a smaller bill and faster completion on agent loops rather than a higher score. Measure tokens per completed task and wall-clock time on your own trace, not just pass rate.
Multimodal Input and Tool Support
DeepSeek V4.1 Flash 1017 accepts text and image input and returns text. On Novita AI it is listed with serverless hosting, function calling, structured outputs, and reasoning — enough for the common agent pattern of a screenshot or document page, a tool schema, and a multi-turn loop, without a separate OCR step.
A note on search: DeepSeek opened its in-house Search and Fetch API on October 17, 2026, but that is DeepSeek’s own platform API, not a Novita-hosted feature. Novita AI’s 1017 listing includes no hosted search or fetch. If you need grounded web results, plan retrieval as a separate integration.
When to Use DeepSeek V4.1 Flash 1017
- Coding agents and terminal-automation workflows already tuned around DeepSWE- or Terminal-Bench-style tasks
- Multi-step tool-use pipelines where the DeepSWE gain and shorter runtimes compound across sessions
- Long-context agent sessions — large repositories, long tool-call histories — where the 1M-token context is why you picked this family
- Workflows that mix screenshots, charts, or document pages with text instructions in one request
- Teams on the earlier V4.1 Flash ID that want the newer snapshot without a price change
When Not to Use DeepSeek V4.1 Flash 1017
Skip it for short-prompt classification, chat completion, and other high-volume text tasks with no agentic or multimodal requirement. Its price matches the earlier V4.1 Flash entry, which is already above base DeepSeek V4 Flash, and nothing here justifies that premium for simple requests.
Don’t treat the benchmark table as a guarantee either. Every 1017 figure comes from DeepSeek’s own harnesses on a fixed setup; your tool-call schema, retry behavior, and context length will shift the result. Validate on representative tasks before widening traffic, and keep the previous model ID as a rollback target.
How DeepSeek V4.1 Flash 1017 Fits Your API Workflow
Moving to 1017 is a model ID change, not an integration change. Base URL, API key, endpoint family, request format, and response shape match the other Novita-hosted DeepSeek models, so an app already calling deepseek/deepseek-v4.1-flash needs only a config swap.
Run a smoke test first — one agent loop, one tool-use turn, one image request — then compare cost per completed task against your baseline rather than cost per token alone.
Conclusion
DeepSeek V4.1 Flash 1017 is the current build of DeepSeek V4.1 Flash on Novita AI: same 1M-token context, same $0.3/$1.2 per 1M token pricing, and higher agentic coding scores than the September release, led by DeepSWE v1.1 moving from 74.2 to 77.0. The earlier model ID remains online at identical pricing, so the decision is which snapshot to run, not whether to migrate under pressure.
For agentic workloads, start new work on 1017 and test it against your baseline. For simple high-volume text, the case for the V4.1 family needs your own numbers before you switch.
FAQ
What is the model ID for DeepSeek V4.1 Flash 1017 on Novita AI?
Use deepseek/deepseek-v4.1-flash-1017 in Novita AI API requests. The earlier deepseek/deepseek-v4.1-flash ID is still listed with the same pricing, context window, and max output, so existing integrations keep working unchanged. Explore DeepSeek V4.1 Flash 1017 on Novita AI.
Is DeepSeek V4.1 Flash 1017 a new model generation?
No. DeepSeek describes it as an upgrade to DeepSeek V4.1 Flash: the web app and API moved to the new build, and the calling method and official pricing stayed the same. It is a newer snapshot, not a successor generation.
How much does DeepSeek V4.1 Flash 1017 cost on Novita AI?
As checked October 19, 2026, Novita AI lists $0.3 per 1M input tokens, $0.006 per 1M cache-read tokens, and $1.2 per 1M output tokens. Confirm current pricing on the model page before production budgeting.
Do I have to migrate from the earlier V4.1 Flash model ID?
No. Both IDs are listed with identical pricing, context, and max output, so there is no forced migration. Start new integrations on 1017; leave existing deployments where they are until you have tested the newer build.
Does the DeepSeek Search API come with the Novita-hosted model?
No. DeepSeek opened its Search and Fetch API on October 17, 2026, but that is a capability of DeepSeek’s own platform. Novita AI’s listing for DeepSeek V4.1 Flash 1017 covers serverless hosting, function calling, structured outputs, and reasoning, and does not include hosted search or fetch.
Can I compare the 1017 benchmark scores directly with older DeepSeek scores?
Only when benchmark version and harness match. DeepSWE v1.1 is comparable with the September release (74.2 to 77.0). Terminal-Bench 4.0 and 2.1 measure different task sets, so a lower number on the newer benchmark is not a regression.
What are the context window and output limit?
Novita AI lists a 1,048,576-token (1M) context window and a 393,216-token maximum output for DeepSeek V4.1 Flash 1017.
