DeepSeek V4 Flash vs NVIDIA Nemotron 3.5 Lightning 30B A3B
At a Glance
| Compare |  DeepSeek V4 FlashDeepSeek | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.0868Openrouter ↗ · Aug 28, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.1736Openrouter ↗ · Aug 28, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | DeepSeek-V4-Flash | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,431.79100% of row best · rating · deepseek-v4-flash; 95% CI [1427.66110387, 1435.91557810]; votes 48887; rank 83 | 1,330.7293% of row best · rating · nvidia-nemotron-3.5-lightning-30b-a3b-nvfp4; 95% CI [1323.44362436, 1337.99938875]; votes 8338; rank 213 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | DeepSeek-V4-Flash | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
|---|---|---|
| Developer | DeepSeek | NVIDIA |
| Family | Deepseek V4 Flash | Nvidia Nemotron 3 5 Lightning |
| Model | DeepSeek-V4-Flash | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
| Version | DeepSeek-V4-Flash | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
| Lifecycle | retired | active |
| Released | 2026-04-24 | 2026-08-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | 290.9B | 30B |
| Active parameters | 13B | 3B |
| License | mit | openmdw-1.1 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) | Fireworks Ai (Standard) |
| Capabilities | chat, generation, reasoning | agents, chat, generation, reasoning, tools |
DeepSeek V4 Flash Capabilities
NVIDIA Nemotron 3.5 Lightning 30B A3B Capabilities
Related Comparisons
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|---|---|---|---|
DeepSeek-V4-FlashDeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-FlashDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash vs NVIDIA Nemotron 3.5 Lightning 30B A3B FAQs
Is DeepSeek V4 Flash or NVIDIA Nemotron 3.5 Lightning 30B A3B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash and NVIDIA Nemotron 3.5 Lightning 30B A3B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Flash or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
Only DeepSeek V4 Flash has a directly sourced input price: $0.0868 per million tokens. Only DeepSeek V4 Flash has a directly sourced output price: $0.1736 per million tokens.
Which has a larger context window, DeepSeek V4 Flash or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash is 1,049K and NVIDIA Nemotron 3.5 Lightning 30B A3B is 1,049K.
Which performs better in benchmarks, DeepSeek V4 Flash or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Flash or NVIDIA Nemotron 3.5 Lightning 30B A3B be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash is open weight; NVIDIA Nemotron 3.5 Lightning 30B A3B is open weight.
Can DeepSeek V4 Flash and NVIDIA Nemotron 3.5 Lightning 30B A3B understand images?+
DeepSeek V4 Flash is not documented with image input; NVIDIA Nemotron 3.5 Lightning 30B A3B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Flash or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash is — and NVIDIA Nemotron 3.5 Lightning 30B A3B is —.
Do DeepSeek V4 Flash and NVIDIA Nemotron 3.5 Lightning 30B A3B support reasoning and tool use?+
DeepSeek V4 Flash: reasoning. NVIDIA Nemotron 3.5 Lightning 30B A3B: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Flash or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
DeepSeek V4 Flash has 5 sourced provider routes; NVIDIA Nemotron 3.5 Lightning 30B A3B has 1, so DeepSeek V4 Flash has broader tracked availability.
Which offers better value, DeepSeek V4 Flash or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.