Mistral Medium 3.5 128B vs Grok Build 0.1
At a Glance
| Compare | Mistral Medium 3.5 128BMistral AI | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #1 of 44$0.0020 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 262K | 256K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 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 | Grok Build 0.1 |
|---|---|---|
| Developer | Mistral AI | xAI |
| Family | Mistral Medium 3 5 128b | Grok Build |
| Model | Mistral-Medium-3.5-128B | Grok Build 0.1 |
| Version | Mistral-Medium-3.5-128B | Grok Build 0.1 |
| Lifecycle | active | preview |
| Released | Unknown | 2026-05-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 256K |
| 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 | Xai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
Mistral Medium 3.5 128B Capabilities
Grok Build 0.1 Capabilities
Primary Evidence
Sources and Freshness
Questions
Mistral Medium 3.5 128B vs Grok Build 0.1 FAQs
Is Mistral Medium 3.5 128B or Grok Build 0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Medium 3.5 128B and Grok Build 0.1, 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 Grok Build 0.1?+
Only Grok Build 0.1 has a directly sourced input price: $1.00 per million tokens. Only Grok Build 0.1 has a directly sourced output price: $2.00 per million tokens.
Which has a larger context window, Mistral Medium 3.5 128B or Grok Build 0.1?+
Mistral Medium 3.5 128B has the larger sourced context window. Mistral Medium 3.5 128B supports 262K and Grok Build 0.1 supports 256K.
Which performs better in benchmarks, Mistral Medium 3.5 128B or Grok Build 0.1?+
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 Grok Build 0.1 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; Grok Build 0.1 is not marked open weight.
Can Mistral Medium 3.5 128B and Grok Build 0.1 understand images?+
Mistral Medium 3.5 128B is documented with image input; Grok Build 0.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Mistral Medium 3.5 128B or Grok Build 0.1?+
Neither has a larger sourced maximum output. Mistral Medium 3.5 128B is — and Grok Build 0.1 is —.
Do Mistral Medium 3.5 128B and Grok Build 0.1 support reasoning and tool use?+
Mistral Medium 3.5 128B: reasoning, tool calling, and image input. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral Medium 3.5 128B or Grok Build 0.1?+
Mistral Medium 3.5 128B has 0 sourced provider routes; Grok Build 0.1 has 1, so Grok Build 0.1 has broader tracked availability.
Which offers better value, Mistral Medium 3.5 128B or Grok Build 0.1?+
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.