Llama 4 Maverick 17B 128E Instruct vs NVIDIA Nemotron 3 Nano 30B A3B BF16
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.1875Openrouter ↗ · Sep 22, 2026 | $0.050Openrouter ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $0.6525Openrouter ↗ · Sep 22, 2026 | $0.20Openrouter ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,000K | 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
| Benchmark | Llama-4-Maverick-17B-128E-Instruct | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,287.1795% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1282.91290700, 1291.42929740]; votes 39359; rank 247 | 1,348.44100% of row best · rating · nvidia-nemotron-3-nano-30b-a3b-bf16; 95% CI [1342.98546755, 1353.88978012]; votes 15325; rank 195 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo 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 | Llama-4-Maverick-17B-128E-Instruct | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
|---|---|---|
| Developer | Meta | NVIDIA |
| Family | Llama 4 Maverick 17b 128e Instruct | Nvidia Nemotron 3 Nano 30b A3b Bf16 |
| Model | Llama-4-Maverick-17B-128E-Instruct | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
| Version | Llama-4-Maverick-17B-128E-Instruct | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
| Lifecycle | active | active |
| Released | 2025-04-05 | 2025-12-15 |
| Knowledge cutoff | Unknown | 2025-11-28 |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 262K |
| Total parameters | 401.6B | 31.6B |
| Active parameters | 17B | 3.5B |
| License | other | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Openrouter (Standard) | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Llama 4 Maverick 17B 128E Instruct Capabilities
NVIDIA Nemotron 3 Nano 30B A3B BF16 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Llama 4 Maverick 17B 128E Instruct vs NVIDIA Nemotron 3 Nano 30B A3B BF16 FAQs
Is Llama 4 Maverick 17B 128E Instruct or NVIDIA Nemotron 3 Nano 30B A3B BF16 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Maverick 17B 128E Instruct and NVIDIA Nemotron 3 Nano 30B A3B BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 4 Maverick 17B 128E Instruct or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
Llama 4 Maverick 17B 128E Instruct is $0.1875 and NVIDIA Nemotron 3 Nano 30B A3B BF16 is $0.050 per million tokens, so NVIDIA Nemotron 3 Nano 30B A3B BF16 is cheaper on this metric. Llama 4 Maverick 17B 128E Instruct is $0.6525 and NVIDIA Nemotron 3 Nano 30B A3B BF16 is $0.20 per million tokens, so NVIDIA Nemotron 3 Nano 30B A3B BF16 is cheaper on this metric.
Which has a larger context window, Llama 4 Maverick 17B 128E Instruct or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
Llama 4 Maverick 17B 128E Instruct has the larger sourced context window. Llama 4 Maverick 17B 128E Instruct supports 1,000K and NVIDIA Nemotron 3 Nano 30B A3B BF16 supports 262K.
Which performs better in benchmarks, Llama 4 Maverick 17B 128E Instruct or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 4 Maverick 17B 128E Instruct or NVIDIA Nemotron 3 Nano 30B A3B BF16 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 4 Maverick 17B 128E Instruct is open weight; NVIDIA Nemotron 3 Nano 30B A3B BF16 is open weight.
Can Llama 4 Maverick 17B 128E Instruct and NVIDIA Nemotron 3 Nano 30B A3B BF16 understand images?+
Llama 4 Maverick 17B 128E Instruct is documented with image input; NVIDIA Nemotron 3 Nano 30B A3B BF16 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 4 Maverick 17B 128E Instruct or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
Neither has a larger sourced maximum output. Llama 4 Maverick 17B 128E Instruct is — and NVIDIA Nemotron 3 Nano 30B A3B BF16 is 1,049K.
Do Llama 4 Maverick 17B 128E Instruct and NVIDIA Nemotron 3 Nano 30B A3B BF16 support reasoning and tool use?+
Llama 4 Maverick 17B 128E Instruct: tool calling and image input. NVIDIA Nemotron 3 Nano 30B A3B BF16: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 4 Maverick 17B 128E Instruct or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
Llama 4 Maverick 17B 128E Instruct has 1 sourced provider route; NVIDIA Nemotron 3 Nano 30B A3B BF16 has 3, so NVIDIA Nemotron 3 Nano 30B A3B BF16 has broader tracked availability.
Which offers better value, Llama 4 Maverick 17B 128E Instruct or NVIDIA Nemotron 3 Nano 30B A3B 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.