Qwen3.8 2.4T A95B vs NVIDIA Nemotron 3 Super 120B A12B BF16
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $6.00Deepinfra ↗ · Sep 21, 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 | Qwen3.8-2.4T-A95B | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 |
|---|---|---|
| Developer | Qwen | NVIDIA |
| Family | Qwen3 8 2 4t A95b | Nvidia Nemotron 3 Super 120b A12b Bf16 |
| Model | Qwen3.8-2.4T-A95B | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 |
| Version | Qwen3.8-2.4T-A95B | NVIDIA-Nemotron-3-Super-120B-A12B-BF16 |
| Lifecycle | active | active |
| Released | Unknown | 2026-03-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 2.4T | 123.6B |
| Active parameters | 95B | 12B |
| License | other | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Hugging Face (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Qwen3.8 2.4T A95B Capabilities
NVIDIA Nemotron 3 Super 120B A12B BF16 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs |  GPT-6 AstraOpenAI | cross-developer peerstext | |
| vs | Claude Fable 5.1Anthropic | cross-developer peerstext | |
| vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext | |
| vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs |  Qwen3.8-MaxQwen | family variantstext | |
| vs |  Kimi-K3Moonshot AI | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
| vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext | |
| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 2.4T A95B vs NVIDIA Nemotron 3 Super 120B A12B BF16 FAQs
Is Qwen3.8 2.4T A95B or NVIDIA Nemotron 3 Super 120B A12B BF16 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and NVIDIA Nemotron 3 Super 120B A12B BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.8 2.4T A95B or NVIDIA Nemotron 3 Super 120B A12B BF16?+
Only Qwen3.8 2.4T A95B has a directly sourced input price: $2.00 per million tokens. Only Qwen3.8 2.4T A95B has a directly sourced output price: $6.00 per million tokens.
Which has a larger context window, Qwen3.8 2.4T A95B or NVIDIA Nemotron 3 Super 120B A12B BF16?+
Neither model has a larger sourced context window in this comparison. Qwen3.8 2.4T A95B is 262K and NVIDIA Nemotron 3 Super 120B A12B BF16 is 262K.
Which performs better in benchmarks, Qwen3.8 2.4T A95B or NVIDIA Nemotron 3 Super 120B A12B BF16?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.8 2.4T A95B or NVIDIA Nemotron 3 Super 120B A12B BF16 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.8 2.4T A95B is open weight; NVIDIA Nemotron 3 Super 120B A12B BF16 is open weight.
Can Qwen3.8 2.4T A95B and NVIDIA Nemotron 3 Super 120B A12B BF16 understand images?+
Qwen3.8 2.4T A95B is not documented with image input; NVIDIA Nemotron 3 Super 120B A12B BF16 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.8 2.4T A95B or NVIDIA Nemotron 3 Super 120B A12B BF16?+
Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and NVIDIA Nemotron 3 Super 120B A12B BF16 is —.
Do Qwen3.8 2.4T A95B and NVIDIA Nemotron 3 Super 120B A12B BF16 support reasoning and tool use?+
Qwen3.8 2.4T A95B: reasoning and tool calling. NVIDIA Nemotron 3 Super 120B A12B BF16: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 2.4T A95B or NVIDIA Nemotron 3 Super 120B A12B BF16?+
Qwen3.8 2.4T A95B has 5 sourced provider routes; NVIDIA Nemotron 3 Super 120B A12B BF16 has 2, so Qwen3.8 2.4T A95B has broader tracked availability.
Which offers better value, Qwen3.8 2.4T A95B or NVIDIA Nemotron 3 Super 120B A12B 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.