Qwen3.5 35B A3B vs NVIDIA Nemotron 3 Nano 30B A3B Base BF16
At a Glance
| Compare |  Qwen3.5 35B A3BQwen | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #37 of 5717.2 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 5.7–72.4 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.14Deepinfra ↗ · Oct 19, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $1.00Deepinfra ↗ · Oct 19, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | 262K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 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
Side-by-Side Facts
| Field | Qwen3.5-35B-A3B | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 |
|---|---|---|
| Developer | Qwen | NVIDIA |
| Family | Qwen3 5 35b A3b | Nvidia Nemotron 3 Nano 30b A3b Base Bf16 |
| Model | Qwen3.5-35B-A3B | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 |
| Version | Qwen3.5-35B-A3B | NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 |
| Lifecycle | active | active |
| Released | Unknown | 2025-12-15 |
| Knowledge cutoff | Unknown | 2025-06-25 |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 36B | 31.6B |
| Active parameters | 3B | Unknown |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | generation |
Qwen3.5 35B A3B Capabilities
NVIDIA Nemotron 3 Nano 30B A3B Base BF16 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Qwen3.5-35B-A3BQwen | vs | Qwen3.8-27BQwen | family variantsimage, text |
Qwen3.5-35B-A3BQwen | vs |  Gemma 4 31BGoogle DeepMind | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs |  Ministral-3-14B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | Ministral-3-3B-Instruct-2512Mistral AI | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | Ministral-3-3B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | Ministral-3-8B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | Mistral-Medium-3.5-128BMistral AI | cross-developer peersimage, text |
Qwen3.5-35B-A3BQwen | vs | cross-developer peerstext | |
| vs | Qwen3.5-35B-A3BQwen | family variantstext | |
Qwen3.5-35B-A3BQwen | vs | family variantsimage, text | |
Qwen3.5-35B-A3BQwen | vs | family variantsimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.5 35B A3B vs NVIDIA Nemotron 3 Nano 30B A3B Base BF16 FAQs
Is Qwen3.5 35B A3B or NVIDIA Nemotron 3 Nano 30B A3B Base BF16 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 35B A3B and NVIDIA Nemotron 3 Nano 30B A3B Base BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.5 35B A3B or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
Only Qwen3.5 35B A3B has a directly sourced input price: $0.14 per million tokens. Only Qwen3.5 35B A3B has a directly sourced output price: $1.00 per million tokens.
Which has a larger context window, Qwen3.5 35B A3B or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
Both models have the same sourced context window: 262,144 tokens each.
Which performs better in benchmarks, Qwen3.5 35B A3B or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.5 35B A3B or NVIDIA Nemotron 3 Nano 30B A3B Base BF16 be self-hosted?+
Both models have the same sourced self-hosting status: supported. Qwen3.5 35B A3B is open weight; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is open weight.
Can Qwen3.5 35B A3B and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 understand images?+
Qwen3.5 35B A3B is documented with image input; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.5 35B A3B or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
NVIDIA Nemotron 3 Nano 30B A3B Base BF16 has a sourced maximum output of 131,072 tokens; Qwen3.5 35B A3B's maximum output is not reported. A larger limit cannot be determined.
Do Qwen3.5 35B A3B and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 support reasoning and tool use?+
Qwen3.5 35B A3B: reasoning, tool calling, and image input. NVIDIA Nemotron 3 Nano 30B A3B Base BF16: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5 35B A3B or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
Qwen3.5 35B A3B has 4 sourced provider routes; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 has 0, so Qwen3.5 35B A3B has broader tracked availability.
Which offers better value, Qwen3.5 35B A3B or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+
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.