Qwen3-Coder-Next vs Qwen3.8-Max
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Qwen3-Coder-Next | Qwen3.8-Max |
|---|---|---|
| Developer | Qwen | Qwen |
| Family | Qwen3 Coder Next | Qwen3 8 Max |
| Model | Qwen3-Coder-Next | Qwen3.8-Max |
| Version | Qwen3-Coder-Next | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-02-02 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 262,144 | 1,000,000 |
| Total parameters | 79,674,391,296 | 2,400,000,000,000 |
| Active parameters | 3,000,000,000 | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Openrouter (Standard) | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | agents, chat, reasoning, structured_outputs, tools, vision |
14 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Qwen3-Coder-Next Capabilities
Qwen3.8-Max Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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Qwen3.8-MaxQwen | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text, video |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text |
Kimi-K3Moonshot AI | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text |
Gemini 2.5 FlashGoogle DeepMind | vs | Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs | Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.7 FlashGoogle DeepMind | vs | Qwen3.8-MaxQwen | cross-developer peerstext |
Qwen3-Coder-NextQwen | vs | family variantstext | |
| vs | Qwen3.8-MaxQwen | family variantstext | |
Qwen3-Coder-NextQwen | vs | family variantstext | |
Sonar Deep ResearchPerplexity | vs | Qwen3.8-MaxQwen | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Qwen3-Coder-Next vs Qwen3.8-Max FAQs
Is Qwen3-Coder-Next or Qwen3.8-Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3-Coder-Next and Qwen3.8-Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3-Coder-Next or Qwen3.8-Max?+
Qwen3-Coder-Next is $0.12 and Qwen3.8-Max is $1.65 per million tokens, so Qwen3-Coder-Next is cheaper on this metric. Qwen3-Coder-Next is $0.80 and Qwen3.8-Max is $4.951 per million tokens, so Qwen3-Coder-Next is cheaper on this metric.
Which has a larger context window, Qwen3-Coder-Next or Qwen3.8-Max?+
Qwen3.8-Max has the larger sourced context window. Qwen3-Coder-Next supports 262,144 and Qwen3.8-Max supports 1,000,000.
Which performs better in benchmarks, Qwen3-Coder-Next or Qwen3.8-Max?+
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 Qwen3.8-Max be self-hosted?+
Qwen3-Coder-Next is the only model in this pair currently marked as self-hostable. Qwen3-Coder-Next is open weight; Qwen3.8-Max is not marked open weight.
Can Qwen3-Coder-Next and Qwen3.8-Max understand images?+
Qwen3-Coder-Next is not documented with image input; Qwen3.8-Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3-Coder-Next or Qwen3.8-Max?+
Neither has a larger sourced maximum output. Qwen3-Coder-Next is — and Qwen3.8-Max is 131,072.
Do Qwen3-Coder-Next and Qwen3.8-Max support reasoning and tool use?+
Qwen3-Coder-Next: tool calling. Qwen3.8-Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3-Coder-Next or Qwen3.8-Max?+
Qwen3-Coder-Next has 1 sourced provider route; Qwen3.8-Max has 3, so Qwen3.8-Max has broader tracked availability.
Which offers better value, Qwen3-Coder-Next or Qwen3.8-Max?+
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.