DeepSeek-V4.1-Flash-1017 vs Nemotron-3.5-Embed-8B-BF16: Benchmarks, Pricing & Capabilities Compared
TL;DR — DeepSeek-V4.1-Flash-1017 wins for general use · Nemotron-3.5-Embed-8B-BF16 wins for general use.
DeepSeek-V4.1-Flash-1017 deepseek-ai
- Released
- 2026-10-17
Nemotron-3.5-Embed-8B-BF16 nvidia
- Released
- 2026-10-07
Benchmark comparison
No benchmarks reported on both models.
Pricing comparison
| Metric | DeepSeek-V4.1-Flash-1017 | Nemotron-3.5-Embed-8B-BF16 |
|---|---|---|
| Input ($/Mtok) | — | — |
| Output ($/Mtok) | — | — |
| Cached input ($/Mtok) | — | — |
| Cost per 1M-token roundtrip (1M in + 1M out) | — | — |
Context window & modalities
| Attribute | DeepSeek-V4.1-Flash-1017 | Nemotron-3.5-Embed-8B-BF16 |
|---|---|---|
| Context window | — | — |
| Input modalities | ||
| Output modalities | ||
| Knowledge cutoff | — | — |
Verdict by use case
Coding
Insufficient data
Basis: SWE-bench
No shared coding benchmark.
Reasoning
Insufficient data
Basis: GPQA / MMLU
No shared reasoning benchmark.
Math
Insufficient data
Basis: MATH / AIME
No shared math benchmark.
Long context
Insufficient data
Basis: Context window
Context window not reported.
Cost
Insufficient data
Basis: Input $/Mtok
Input pricing not reported on both.
Changelog & releases
DeepSeek-V4.1-Flash-1017
Released 2026-10-17
Nemotron-3.5-Embed-8B-BF16
Released 2026-10-07