DeepSeek V4.1 Flash vs NVIDIA Nemotron 3 Super

DeepSeek · China  |  NVIDIA · US · Updated June 2026

Quick verdict

Pick DeepSeek V4.1 Flash for software engineering (deepswe v1.1: 74.2, essentially level with claude opus 5's 74.0) or 1m-token context window at a fraction of frontier pricing ($0.15/$0.60 per million tokens off-peak). Pick NVIDIA Nemotron 3 Super for high-throughput agentic reasoning (up to 2.2x gpt-oss-120b) or 1m-token context with strong long-context retrieval (91.6% ruler @ 1m). On a tight budget at scale, NVIDIA Nemotron 3 Super is the value pick.

DeepSeek V4.1 Flash (DeepSeek, China) and NVIDIA Nemotron 3 Super (NVIDIA, US) line up two different AI ecosystems against each other — a comparison that is as much about cost philosophy and openness as raw capability. DeepSeek V4.1 Flash is deepSeek's September 2026 flash-tier update adds native vision and a 1M-token window to its cost-efficient V4 line, at $0.15/$0.60 per million tokens. NVIDIA Nemotron 3 Super is nVIDIA's open 120B-total/12B-active hybrid Mamba-Transformer MoE built for high-throughput agentic reasoning at 1M-token context. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecDeepSeek V4.1 FlashNVIDIA Nemotron 3 Super
ProviderDeepSeek (China) NVIDIA (US)
ReleasedSeptember 10, 2026 March 11, 2026
Context window1.05M tokens (~1,573 pages) 1M (~1,500 pages)
Price (in/out)$0.15/$0.6 per 1M tokens Open weight (self-host / free)
Open weight?Yes — self-hostable Yes — self-hostable
Modalitiestext, image text, code
SWE-Bench VerifiedNot published 60.47%
MRCR v2 @ 1MNot published Not published

Who wins what

Software engineering (DeepSWE v1.1: 74.2, essentially level with Claude Opus 5's 74.0)

DeepSeek V4.1 Flash

DeepSeek's September 2026 flash-tier update adds native vision and a 1M-token window to its cost-efficient V4 line, at $0.15/$0.60 per million tokens — and it is the newer of the two.

1M-token context window at a fraction of frontier pricing ($0.15/$0.60 per million tokens off-peak)

DeepSeek V4.1 Flash

DeepSeek V4.1 Flash lists 1M-token context window at a fraction of frontier pricing ($0.15/$0.60 per million tokens off-peak) among its strengths; NVIDIA Nemotron 3 Super does not.

Native multimodal vision, added over the text-only V4-Flash it replaces on most traffic

DeepSeek V4.1 Flash

DeepSeek V4.1 Flash lists native multimodal vision, added over the text-only V4-Flash it replaces on most traffic among its strengths; NVIDIA Nemotron 3 Super does not.

High-throughput agentic reasoning (up to 2.2x GPT-OSS-120B)

NVIDIA Nemotron 3 Super

DeepSeek V4.1 Flash is comparatively weak here — positioned as a cost/speed tier, not a frontier-reasoning flagship — DeepSeek kept V4-Pro running in parallel rather than replacing it outright

1M-token context with strong long-context retrieval (91.6% RULER @ 1M)

NVIDIA Nemotron 3 Super

NVIDIA Nemotron 3 Super lists 1M-token context with strong long-context retrieval (91.6% RULER @ 1M) among its strengths; DeepSeek V4.1 Flash does not.

Strong math reasoning (90.21% AIME 2025)

NVIDIA Nemotron 3 Super

NVIDIA Nemotron 3 Super lists strong math reasoning (90.21% AIME 2025) among its strengths; DeepSeek V4.1 Flash does not.

Lowest cost at scale

NVIDIA Nemotron 3 Super

Its weights are open, so at volume you pay for your own hardware instead of DeepSeek V4.1 Flash's $0.15/$0.6 per 1M tokens.

Which should you pick?

A cost-sensitive startup shipping high volume

→ NVIDIA Nemotron 3 Super

At Open weight (self-host / free) it undercuts DeepSeek V4.1 Flash, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

→ DeepSeek V4.1 Flash

Larger 1.05M tokens window fits more in one prompt.

Anyone whose priority is software engineering (deepswe v1.1: 74.2, essentially level with claude opus 5's 74.0)

→ DeepSeek V4.1 Flash

It is specifically built for that.

Anyone whose priority is high-throughput agentic reasoning (up to 2.2x gpt-oss-120b)

→ NVIDIA Nemotron 3 Super

That is its strongest area.

An enterprise with regional data-residency rules

→ NVIDIA Nemotron 3 Super or DeepSeek V4.1 Flash

Origin (China vs US) affects where data is processed and which compliance regime applies — check the provider's terms for your region.

DeepSeek V4.1 Flash: where it fits

DeepSeek's September 2026 flash-tier update adds native vision and a 1M-token window to its cost-efficient V4 line, at $0.15/$0.60 per million tokens. Released September 10, 2026 by DeepSeek, it is built for software engineering (DeepSWE v1.1: 74.2, essentially level with Claude Opus 5's 74.0), 1M-token context window at a fraction of frontier pricing ($0.15/$0.60 per million tokens off-peak), native multimodal vision, added over the text-only V4-Flash it replaces on most traffic, and mIT-licensed open weights, self-hostable.

Its trade-offs are real: the $0.15/$0.60 pricing is an off-peak rate — cost reportedly doubles during peak-demand hours, new Causal Encoder-Decoder architecture (8B active for input, 16B for output) is unproven at broader scale versus DeepSeek's mainline V4/V4-Pro line, and positioned as a cost/speed tier, not a frontier-reasoning flagship — DeepSeek kept V4-Pro running in parallel rather than replacing it outright. At $0.15 in / $0.6 out per million tokens, it sits in the budget price band.

NVIDIA Nemotron 3 Super: where it fits

NVIDIA's open 120B-total/12B-active hybrid Mamba-Transformer MoE built for high-throughput agentic reasoning at 1M-token context. Released March 11, 2026 by NVIDIA, it is built for high-throughput agentic reasoning (up to 2.2x GPT-OSS-120B), 1M-token context with strong long-context retrieval (91.6% RULER @ 1M), strong math reasoning (90.21% AIME 2025), and fully open weights, datasets, and recipes for self-hosting.

Its trade-offs: text-only; no image, audio, or video input, and requires roughly 8x H100-80GB GPUs to self-host at BF16. As an open-weight model, its running cost is your own hardware rather than a per-token fee.

The bottom line for this matchup

This is less "which is smarter" and more "which ecosystem fits." DeepSeek V4.1 Flash (China) and NVIDIA Nemotron 3 Super (US) differ on pricing philosophy, data-residency, and tooling as much as on raw scores. NVIDIA Nemotron 3 Super is the cheaper option, which matters at volume. The pragmatic move is to run one real task through both and judge the outputs against your own constraints — including where your data is allowed to be processed.

Want both DeepSeek V4.1 Flash and NVIDIA Nemotron 3 Super without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is DeepSeek V4.1 Flash or NVIDIA Nemotron 3 Super better for coding?

Public SWE-Bench figures are not available for DeepSeek V4.1 Flash, so the honest test is your own repository — run an identical real bug through both. By design, DeepSeek V4.1 Flash leans toward software engineering (deepswe v1.1: 74.2, essentially level with claude opus 5's 74.0) while NVIDIA Nemotron 3 Super leans toward high-throughput agentic reasoning (up to 2.2x gpt-oss-120b), and that positioning usually predicts which feels better on your codebase.

Which is cheaper, DeepSeek V4.1 Flash or NVIDIA Nemotron 3 Super?

NVIDIA Nemotron 3 Super is cheaper — $0.15/$0.6 per 1M tokens vs Open weight (self-host / free).

Which has the bigger context window?

Effectively neither — 1.05M tokens vs 1M is a difference of a few percent. Remember advertised ≠ usable: recall typically degrades before the ceiling.

Can I use both DeepSeek V4.1 Flash and NVIDIA Nemotron 3 Super together?

Yes — a multi-model platform like LumiChats gives you DeepSeek V4.1 Flash, NVIDIA Nemotron 3 Super and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, DeepSeek V4.1 Flash or NVIDIA Nemotron 3 Super?

DeepSeek V4.1 Flash — released September 10, 2026, about 6 months after NVIDIA Nemotron 3 Super.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.