Qwen3.5 397B A17B vs Llama 3.1 70B
At a Glance
| Compare |  Llama 3.1 70BMeta | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.45Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $3.00Deepinfra ↗ · Sep 21, 2026 | Not reported |
| 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 | Qwen3.5-397B-A17B | Llama-3.1-70B |
|---|---|---|
| Developer | Qwen | Meta |
| Family | Qwen3 5 397b A17b | Llama 3 1 70b |
| Model | Qwen3.5-397B-A17B | Llama-3.1-70B |
| Version | Qwen3.5-397B-A17B | Llama-3.1-70B |
| Lifecycle | active | active |
| Released | 2026-02-15 | 2024-07-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 131K |
| Total parameters | 403.4B | 70.6B |
| Active parameters | 17B | Unknown |
| License | apache-2.0 | llama3.1 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Hugging Face (Standard) |
| Capabilities | chat, generation, reasoning, tools | generation |
Qwen3.5 397B A17B Capabilities
Llama 3.1 70B Capabilities
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| vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.5 397B A17B vs Llama 3.1 70B FAQs
Is Qwen3.5 397B A17B or Llama 3.1 70B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and Llama 3.1 70B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.5 397B A17B or Llama 3.1 70B?+
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 397B A17B or Llama 3.1 70B?+
Qwen3.5 397B A17B has the larger sourced context window. Qwen3.5 397B A17B supports 262K and Llama 3.1 70B supports 131K.
Which performs better in benchmarks, Qwen3.5 397B A17B or Llama 3.1 70B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.5 397B A17B or Llama 3.1 70B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.5 397B A17B is open weight; Llama 3.1 70B is open weight.
Can Qwen3.5 397B A17B and Llama 3.1 70B understand images?+
Qwen3.5 397B A17B is documented with image input; Llama 3.1 70B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.5 397B A17B or Llama 3.1 70B?+
Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and Llama 3.1 70B is —.
Do Qwen3.5 397B A17B and Llama 3.1 70B support reasoning and tool use?+
Qwen3.5 397B A17B: reasoning, tool calling, and image input. Llama 3.1 70B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5 397B A17B or Llama 3.1 70B?+
Qwen3.5 397B A17B has 4 sourced provider routes; Llama 3.1 70B has 1, so Qwen3.5 397B A17B has broader tracked availability.
Which offers better value, Qwen3.5 397B A17B or Llama 3.1 70B?+
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.