Qwen3.5 35B A3B Base vs Llama 3.3 70B Instruct
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.10Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.32Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 262K | 131K |
| 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 | Llama-3.3-70B-Instruct |
|---|---|---|
| Developer | Qwen | Meta |
| Family | Qwen3 5 35b A3b Base | Llama 3 3 70b Instruct |
| Model | Qwen3.5-35B-A3B-Base | Llama-3.3-70B-Instruct |
| Version | Qwen3.5-35B-A3B-Base | Llama-3.3-70B-Instruct |
| Lifecycle | active | active |
| Released | Unknown | 2024-12-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 131K |
| Total parameters | 36B | 70.6B |
| Active parameters | 3B | Unknown |
| License | apache-2.0 | llama3.3 |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | chat, generation, tools |
Qwen3.5 35B A3B Base Capabilities
Llama 3.3 70B Instruct 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 Llama 3.3 70B Instruct FAQs
Is Qwen3.5 35B A3B Base or Llama 3.3 70B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 35B A3B Base and Llama 3.3 70B Instruct, 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 Llama 3.3 70B Instruct?+
Only Llama 3.3 70B Instruct has a directly sourced input price: $0.10 per million tokens. Only Llama 3.3 70B Instruct has a directly sourced output price: $0.32 per million tokens.
Which has a larger context window, Qwen3.5 35B A3B Base or Llama 3.3 70B Instruct?+
Qwen3.5 35B A3B Base has the larger sourced context window. Qwen3.5 35B A3B Base supports 262K and Llama 3.3 70B Instruct supports 131K.
Which performs better in benchmarks, Qwen3.5 35B A3B Base or Llama 3.3 70B Instruct?+
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 Llama 3.3 70B Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.5 35B A3B Base is open weight; Llama 3.3 70B Instruct is open weight.
Can Qwen3.5 35B A3B Base and Llama 3.3 70B Instruct understand images?+
Qwen3.5 35B A3B Base is documented with image input; Llama 3.3 70B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.5 35B A3B Base or Llama 3.3 70B Instruct?+
Neither has a larger sourced maximum output. Qwen3.5 35B A3B Base is — and Llama 3.3 70B Instruct is —.
Do Qwen3.5 35B A3B Base and Llama 3.3 70B Instruct support reasoning and tool use?+
Qwen3.5 35B A3B Base: tool calling and image input. Llama 3.3 70B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5 35B A3B Base or Llama 3.3 70B Instruct?+
Qwen3.5 35B A3B Base has 0 sourced provider routes; Llama 3.3 70B Instruct has 3, so Llama 3.3 70B Instruct has broader tracked availability.
Which offers better value, Qwen3.5 35B A3B Base or Llama 3.3 70B 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.