Qwen3.5 35B A3B Base vs Qwen3.5 397B A17B
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.45Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $3.00Deepinfra ↗ · Sep 22, 2026 |
| 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 | Qwen3.5-35B-A3B-Base | Qwen3.5-397B-A17B |
|---|---|---|
| Developer | Qwen | Qwen |
| Family | Qwen3 5 35b A3b Base | Qwen3 5 397b A17b |
| Model | Qwen3.5-35B-A3B-Base | Qwen3.5-397B-A17B |
| Version | Qwen3.5-35B-A3B-Base | Qwen3.5-397B-A17B |
| Lifecycle | active | active |
| Released | Unknown | 2026-02-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 36B | 403.4B |
| Active parameters | 3B | 17B |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Qwen3.5 35B A3B Base Capabilities
Qwen3.5 397B A17B Capabilities
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| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
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| vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text | |
| vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.5 35B A3B Base vs Qwen3.5 397B A17B FAQs
Is Qwen3.5 35B A3B Base or Qwen3.5 397B A17B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 35B A3B Base and Qwen3.5 397B A17B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.5 35B A3B Base or Qwen3.5 397B A17B?+
Only Qwen3.5 397B A17B has a directly sourced input price: $0.45 per million tokens. Only Qwen3.5 397B A17B has a directly sourced output price: $3.00 per million tokens.
Which has a larger context window, Qwen3.5 35B A3B Base or Qwen3.5 397B A17B?+
Neither model has a larger sourced context window in this comparison. Qwen3.5 35B A3B Base is 262K and Qwen3.5 397B A17B is 262K.
Which performs better in benchmarks, Qwen3.5 35B A3B Base or Qwen3.5 397B A17B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.5 35B A3B Base or Qwen3.5 397B A17B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.5 35B A3B Base is open weight; Qwen3.5 397B A17B is open weight.
Can Qwen3.5 35B A3B Base and Qwen3.5 397B A17B understand images?+
Qwen3.5 35B A3B Base is documented with image input; Qwen3.5 397B A17B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.5 35B A3B Base or Qwen3.5 397B A17B?+
Neither has a larger sourced maximum output. Qwen3.5 35B A3B Base is — and Qwen3.5 397B A17B is —.
Do Qwen3.5 35B A3B Base and Qwen3.5 397B A17B support reasoning and tool use?+
Qwen3.5 35B A3B Base: tool calling and image input. Qwen3.5 397B A17B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5 35B A3B Base or Qwen3.5 397B A17B?+
Qwen3.5 35B A3B Base has 0 sourced provider routes; Qwen3.5 397B A17B has 4, so Qwen3.5 397B A17B has broader tracked availability.
Which offers better value, Qwen3.5 35B A3B Base or Qwen3.5 397B A17B?+
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.