Qwen3 Coder Next vs Llama 4 Scout 17B 16E Instruct
At a Glance
| Compare |  Qwen3 Coder NextQwen | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.12Openrouter ↗ · Sep 23, 2026 | $0.10Deepinfra ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $0.80Openrouter ↗ · Sep 23, 2026 | $0.30Deepinfra ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 262K | 10,000K |
| 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-Coder-Next | Llama-4-Scout-17B-16E-Instruct |
|---|---|---|
| Developer | Qwen | Meta |
| Family | Qwen3 Coder Next | Llama 4 Scout 17b 16e Instruct |
| Model | Qwen3-Coder-Next | Llama-4-Scout-17B-16E-Instruct |
| Version | Qwen3-Coder-Next | Llama-4-Scout-17B-16E-Instruct |
| Lifecycle | active | active |
| Released | 2026-02-02 | 2025-04-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 10,000K |
| Total parameters | 79.7B | 108.6B |
| Active parameters | 3B | 17B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | chat, generation, tools |
Qwen3 Coder Next Capabilities
Llama 4 Scout 17B 16E Instruct Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Qwen3-Coder-NextQwen | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Qwen3-Coder-NextQwen | vs | Claude Fable 5.1Anthropic | cross-developer peerstext |
Qwen3-Coder-NextQwen | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Qwen3-Coder-NextQwen | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext |
Qwen3-Coder-NextQwen | vs | Grok 4.6xAI | cross-developer peerstext |
Qwen3-Coder-NextQwen | vs | Qwen3.8-MaxQwen | family variantstext |
Qwen3-Coder-NextQwen | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Qwen3-Coder-NextQwen | cross-developer peerstext |
Qwen3-Coder-NextQwen | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Qwen3-Coder-NextQwen | vs |  Hy4 previewTencent | cross-developer peerstext |
Qwen3-Coder-NextQwen | vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext |
Qwen3-Coder-NextQwen | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Qwen3 Coder Next vs Llama 4 Scout 17B 16E Instruct FAQs
Is Qwen3 Coder Next or Llama 4 Scout 17B 16E Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Coder Next and Llama 4 Scout 17B 16E Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3 Coder Next or Llama 4 Scout 17B 16E Instruct?+
Qwen3 Coder Next is $0.12 and Llama 4 Scout 17B 16E Instruct is $0.10 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric. Qwen3 Coder Next is $0.80 and Llama 4 Scout 17B 16E Instruct is $0.30 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric.
Which has a larger context window, Qwen3 Coder Next or Llama 4 Scout 17B 16E Instruct?+
Llama 4 Scout 17B 16E Instruct has the larger sourced context window. Qwen3 Coder Next supports 262K and Llama 4 Scout 17B 16E Instruct supports 10,000K.
Which performs better in benchmarks, Qwen3 Coder Next or Llama 4 Scout 17B 16E Instruct?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3 Coder Next or Llama 4 Scout 17B 16E Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3 Coder Next is open weight; Llama 4 Scout 17B 16E Instruct is open weight.
Can Qwen3 Coder Next and Llama 4 Scout 17B 16E Instruct understand images?+
Qwen3 Coder Next is not documented with image input; Llama 4 Scout 17B 16E Instruct is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3 Coder Next or Llama 4 Scout 17B 16E Instruct?+
Neither has a larger sourced maximum output. Qwen3 Coder Next is — and Llama 4 Scout 17B 16E Instruct is —.
Do Qwen3 Coder Next and Llama 4 Scout 17B 16E Instruct support reasoning and tool use?+
Qwen3 Coder Next: tool calling. Llama 4 Scout 17B 16E Instruct: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3 Coder Next or Llama 4 Scout 17B 16E Instruct?+
Qwen3 Coder Next has 2 sourced provider routes; Llama 4 Scout 17B 16E Instruct has 4, so Llama 4 Scout 17B 16E Instruct has broader tracked availability.
Which offers better value, Qwen3 Coder Next or Llama 4 Scout 17B 16E Instruct?+
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.