Qwen3 Coder Next vs Stable Diffusion 3.5 Large
At a Glance
| Compare | Qwen3 Coder NextQwen | Stable Diffusion 3.5 LargeStability AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.12Openrouter ↗ · Sep 22, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.80Openrouter ↗ · Sep 22, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | 0K |
| 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 | stable-diffusion-3.5-large |
|---|---|---|
| Developer | Qwen | Stability AI |
| Family | Qwen3 Coder Next | Stable Diffusion 3 5 Large |
| Model | Qwen3-Coder-Next | stable-diffusion-3.5-large |
| Version | Qwen3-Coder-Next | stable-diffusion-3.5-large |
| Lifecycle | active | active |
| Released | 2026-02-02 | 2024-10-22 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Image |
| Context window | 262K | 0K |
| Total parameters | 79.7B | 8.1B |
| Active parameters | 3B | Unknown |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Hugging Face (Standard), Stability AI (Pay as you go) |
| Capabilities | chat, generation, tools | generation |
Qwen3 Coder Next Capabilities
Stable Diffusion 3.5 Large Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3 Coder Next vs Stable Diffusion 3.5 Large FAQs
Is Qwen3 Coder Next or Stable Diffusion 3.5 Large better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Coder Next and Stable Diffusion 3.5 Large, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3 Coder Next or Stable Diffusion 3.5 Large?+
Only Qwen3 Coder Next has a directly sourced input price: $0.12 per million tokens. Only Qwen3 Coder Next has a directly sourced output price: $0.80 per million tokens.
Which has a larger context window, Qwen3 Coder Next or Stable Diffusion 3.5 Large?+
Qwen3 Coder Next has the larger sourced context window. Qwen3 Coder Next supports 262K and Stable Diffusion 3.5 Large supports 0K.
Which performs better in benchmarks, Qwen3 Coder Next or Stable Diffusion 3.5 Large?+
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 Stable Diffusion 3.5 Large be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3 Coder Next is open weight; Stable Diffusion 3.5 Large is open weight.
Can Qwen3 Coder Next and Stable Diffusion 3.5 Large understand images?+
Qwen3 Coder Next is not documented with image input; Stable Diffusion 3.5 Large is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3 Coder Next or Stable Diffusion 3.5 Large?+
Neither has a larger sourced maximum output. Qwen3 Coder Next is — and Stable Diffusion 3.5 Large is —.
Do Qwen3 Coder Next and Stable Diffusion 3.5 Large support reasoning and tool use?+
Qwen3 Coder Next: tool calling. Stable Diffusion 3.5 Large: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3 Coder Next or Stable Diffusion 3.5 Large?+
Qwen3 Coder Next has 2 sourced provider routes; Stable Diffusion 3.5 Large has 2, a tie.
Which offers better value, Qwen3 Coder Next or Stable Diffusion 3.5 Large?+
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.