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DeepSeek-V4.1-Flash-1017: Benchmarks, Pricing & Context Window
DeepSeek-V4.1-Flash-1017 is a language model from DeepSeek, released in October 2026, with multimodal input, a 1.0M-token context window, and pricing from $0.300/M input, $0.006/M cached input, $1.20/M output.
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash with the same architecture and API model name deepseek-flash. It delivers substantial gains on reasoning, coding, agentic, and visual benchmarks, with shorter task runtime
DeepSeek-V4.1-Flash-1017 benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for DeepSeek-V4.1-Flash-1017 across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How DeepSeek-V4.1-Flash-1017 holds up as conversations get longer.
Quality Tracker
DeepSeek-V4.1-Flash-1017 Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
DeepSeek-V4.1-Flash-1017 pricing
Providers
DeepSeek-V4.1-Flash-1017 starts at $0.300 per million input tokens and $1.20 per million output tokens via DeepSeek. Reused prompt prefixes cost $0.0060 per million cached input tokens.
| Provider | Input $/M | Cached input $/M | Output $/M | Context in / out | TTFT p95 s | Output p5 c/s | Modalities in / out |
|---|---|---|---|---|---|---|---|
| $0.300 | $0.0060 | $1.20 | 1.0M/393.2K | — | — | / |
Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.
DeepSeek-V4.1-Flash-1017 model size
DeepSeek-V4.1-Flash-1017 has 763.2 billion parameters and was trained on 45 trillion tokens. See how it compares to other models in the same parameter range.
DeepSeek-V4.1-Flash-1017 context window
Input and output token limits for DeepSeek-V4.1-Flash-1017, plus how it ranks on long-context understanding.
Try now
Make it with
DeepSeek-V4.1-Flash-1017.
DeepSeek-V4.1-Flash-1017 latency
DeepSeek-V4.1-Flash-1017 time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.
DeepSeek-V4.1-Flash-1017 examples
Recent arena outputs from DeepSeek-V4.1-Flash-1017, picked from the highest-ranked matchups.
DeepSeek-V4.1-Flash-1017 license
DeepSeek-V4.1-Flash-1017 is released under the MIT license, which permits commercial use, has 763.2B parameters.
- License
- MIT
- Commercial use allowed
- Parameters
- 763.2B
MIT License - allows commercial use
DeepSeek-V4.1-Flash-1017 resources
Official sources for DeepSeek-V4.1-Flash-1017: provider documentation, official playground, paper or system card, official launch post, source repository, model weights.
DeepSeek-V4.1-Flash-1017 vs other models
The most-compared alternatives to DeepSeek-V4.1-Flash-1017 are Gemini 3 Flash, Qwen3.7 Max, Muse Spark 1.3. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like DeepSeek-V4.1-Flash-1017
Models ranked just above and below DeepSeek-V4.1-Flash-1017 by LLM Stats score.
FAQ
Common questions about DeepSeek-V4.1-Flash-1017.