Mistral Medium 3.5 128B vs Sonar Deep Research
At a Glance
| Compare |  Mistral Medium 3.5 128BMistral AI |  Sonar Deep ResearchPerplexity |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $2.00Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $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 | Mistral-Medium-3.5-128B | Sonar Deep Research |
|---|---|---|
| Developer | Mistral AI | Perplexity |
| Family | Mistral Medium 3 5 128b | Sonar |
| Model | Mistral-Medium-3.5-128B | Sonar Deep Research |
| Version | Mistral-Medium-3.5-128B | Sonar Deep Research |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 128K |
| Total parameters | 127.7B | Unknown |
| Active parameters | Unknown | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Openrouter (Standard), Perplexity (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, citations, reasoning, research, search |
Mistral Medium 3.5 128B Capabilities
Sonar Deep Research Capabilities
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Primary Evidence
Sources and Freshness
Questions
Mistral Medium 3.5 128B vs Sonar Deep Research FAQs
Is Mistral Medium 3.5 128B or Sonar Deep Research better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Medium 3.5 128B and Sonar Deep Research, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Mistral Medium 3.5 128B or Sonar Deep Research?+
Only Sonar Deep Research has a directly sourced input price: $2.00 per million tokens. Only Sonar Deep Research has a directly sourced output price: $8.00 per million tokens.
Which has a larger context window, Mistral Medium 3.5 128B or Sonar Deep Research?+
Mistral Medium 3.5 128B has the larger sourced context window. Mistral Medium 3.5 128B supports 262K and Sonar Deep Research supports 128K.
Which performs better in benchmarks, Mistral Medium 3.5 128B 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 Mistral Medium 3.5 128B or Sonar Deep Research be self-hosted?+
Mistral Medium 3.5 128B is the only model in this pair currently marked as self-hostable. Mistral Medium 3.5 128B is open weight; Sonar Deep Research is not marked open weight.
Can Mistral Medium 3.5 128B and Sonar Deep Research understand images?+
Mistral Medium 3.5 128B is 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, Mistral Medium 3.5 128B or Sonar Deep Research?+
Neither has a larger sourced maximum output. Mistral Medium 3.5 128B is — and Sonar Deep Research is —.
Do Mistral Medium 3.5 128B and Sonar Deep Research support reasoning and tool use?+
Mistral Medium 3.5 128B: reasoning, tool calling, and image input. Sonar Deep Research: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral Medium 3.5 128B or Sonar Deep Research?+
Mistral Medium 3.5 128B has 0 sourced provider routes; Sonar Deep Research has 2, so Sonar Deep Research has broader tracked availability.
Which offers better value, Mistral Medium 3.5 128B 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.