Qwen3.8 2.4T A95B vs Sonar Deep Research
At a Glance
| Compare | Sonar Deep ResearchPerplexity | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Deepinfra ↗ · Sep 22, 2026 | $2.00Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $6.00Deepinfra ↗ · Sep 22, 2026 | $8.00Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 262K | 128K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 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 | Qwen3.8-2.4T-A95B | Sonar Deep Research |
|---|---|---|
| Developer | Qwen | Perplexity |
| Family | Qwen3 8 2 4t A95b | Sonar |
| Model | Qwen3.8-2.4T-A95B | Sonar Deep Research |
| Version | Qwen3.8-2.4T-A95B | Sonar Deep Research |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 262K | 128K |
| Total parameters | 2.4T | Unknown |
| Active parameters | 95B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Openrouter (Standard), Perplexity (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, citations, reasoning, research, search |
Qwen3.8 2.4T A95B Capabilities
Sonar Deep Research Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 2.4T A95B vs Sonar Deep Research FAQs
Is Qwen3.8 2.4T A95B or Sonar Deep Research better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and Sonar Deep Research, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.8 2.4T A95B or Sonar Deep Research?+
Qwen3.8 2.4T A95B is $2.00 and Sonar Deep Research is $2.00 per million tokens, so they are tied on this metric. Qwen3.8 2.4T A95B is $6.00 and Sonar Deep Research is $8.00 per million tokens, so Qwen3.8 2.4T A95B is cheaper on this metric.
Which has a larger context window, Qwen3.8 2.4T A95B or Sonar Deep Research?+
Qwen3.8 2.4T A95B has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and Sonar Deep Research supports 128K.
Which performs better in benchmarks, Qwen3.8 2.4T A95B or Sonar Deep Research?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.8 2.4T A95B or Sonar Deep Research be self-hosted?+
Qwen3.8 2.4T A95B is the only model in this pair currently marked as self-hostable. Qwen3.8 2.4T A95B is open weight; Sonar Deep Research is not marked open weight.
Can Qwen3.8 2.4T A95B and Sonar Deep Research understand images?+
Qwen3.8 2.4T A95B is not documented with image input; Sonar Deep Research is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.8 2.4T A95B or Sonar Deep Research?+
Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and Sonar Deep Research is —.
Do Qwen3.8 2.4T A95B and Sonar Deep Research support reasoning and tool use?+
Qwen3.8 2.4T A95B: reasoning and tool calling. Sonar Deep Research: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 2.4T A95B or Sonar Deep Research?+
Qwen3.8 2.4T A95B has 5 sourced provider routes; Sonar Deep Research has 2, so Qwen3.8 2.4T A95B has broader tracked availability.
Which offers better value, Qwen3.8 2.4T A95B or Sonar Deep Research?+
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.