DeepSeek-V4.1-Flash-1017 vs Gemini 3.5 Transcribe
Comparing DeepSeek-V4.1-Flash-1017 and Gemini 3.5 Transcribe across benchmarks, pricing, and capabilities.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash-1017 and Gemini 3.5 Transcribe trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-V4.1-Flash-1017 is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4.1-Flash-1017
- cost matters — it's about 8.6x cheaper per token
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose Gemini 3.5 Transcribe
- you want predictable pricing at $2.00/M input and $12.00/M output
At a glance
The differences that matter most.
Individual benchmarks
11 reported for DeepSeek-V4.1-Flash-1017 · 1 for Gemini 3.5 Transcribe
DeepSeek-V4.1-Flash-1017 and Gemini 3.5 Transcribedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens) is 6.7x cheaper than Gemini 3.5 Transcribe ($2.00/1M tokens).
For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 10.0x cheaper than Gemini 3.5 Transcribe ($12.00/1M tokens).
In conclusion, Gemini 3.5 Transcribe is more expensive than DeepSeek-V4.1-Flash-1017.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash-1017 and Gemini 3.5 Transcribe support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash-1017
Gemini 3.5 Transcribe
License
Usage and distribution terms
DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Gemini 3.5 Transcribe uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Gemini 3.5 Transcribe was released on 2026-08-26.
DeepSeek-V4.1-Flash-1017 is 2 months newer than Gemini 3.5 Transcribe.
Oct 17, 2026
2 days ago
1mo newerAug 26, 2026
1 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4.1-Flash-1017 is available from DeepSeek. Gemini 3.5 Transcribe is available from Google.
DeepSeek-V4.1-Flash-1017
Gemini 3.5 Transcribe
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash-1017 and Gemini 3.5 Transcribe side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash-1017 vs Gemini 3.5 Transcribe.