Mistral Medium 3.5 128B vs Sonar Reasoning Pro
At a Glance
| Compare |  Mistral Medium 3.5 128BMistral AI |  Sonar Reasoning ProPerplexity |
|---|---|---|
| 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 Reasoning Pro |
|---|---|---|
| Developer | Mistral AI | Perplexity |
| Family | Mistral Medium 3 5 128b | Sonar |
| Model | Mistral-Medium-3.5-128B | Sonar Reasoning Pro |
| Version | Mistral-Medium-3.5-128B | Sonar Reasoning Pro |
| 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, search |
Mistral Medium 3.5 128B Capabilities
Sonar Reasoning Pro Capabilities
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Primary Evidence
Sources and Freshness
Questions
Mistral Medium 3.5 128B vs Sonar Reasoning Pro FAQs
Is Mistral Medium 3.5 128B or Sonar Reasoning Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Medium 3.5 128B and Sonar Reasoning Pro, 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 Reasoning Pro?+
Only Sonar Reasoning Pro has a directly sourced input price: $2.00 per million tokens. Only Sonar Reasoning Pro has a directly sourced output price: $8.00 per million tokens.
Which has a larger context window, Mistral Medium 3.5 128B or Sonar Reasoning Pro?+
Mistral Medium 3.5 128B has the larger sourced context window. Mistral Medium 3.5 128B supports 262K and Sonar Reasoning Pro supports 128K.
Which performs better in benchmarks, Mistral Medium 3.5 128B or Sonar Reasoning Pro?+
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 Reasoning Pro 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 Reasoning Pro is not marked open weight.
Can Mistral Medium 3.5 128B and Sonar Reasoning Pro understand images?+
Mistral Medium 3.5 128B is documented with image input; Sonar Reasoning Pro 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 Reasoning Pro?+
Neither has a larger sourced maximum output. Mistral Medium 3.5 128B is — and Sonar Reasoning Pro is —.
Do Mistral Medium 3.5 128B and Sonar Reasoning Pro support reasoning and tool use?+
Mistral Medium 3.5 128B: reasoning, tool calling, and image input. Sonar Reasoning Pro: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral Medium 3.5 128B or Sonar Reasoning Pro?+
Mistral Medium 3.5 128B has 0 sourced provider routes; Sonar Reasoning Pro has 2, so Sonar Reasoning Pro has broader tracked availability.
Which offers better value, Mistral Medium 3.5 128B or Sonar Reasoning Pro?+
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.