Pixtral Large vs Grok 4.20 Multi Agent
At a Glance
| Compare |  Pixtral LargeMistral AI | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #22 of 4663.4 score · 2/3 sources · provisional · missing LiveBench · full-core range 42.3–75.6 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.25Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.50Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 131K | 1,000K |
| Model facts checked | Aug 29, 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 | Pixtral Large | Grok 4.20 Multi-Agent |
|---|---|---|
| Developer | Mistral AI | xAI |
| Family | Pixtral Large | Grok 4 20 |
| Model | Pixtral Large | Grok 4.20 Multi-Agent |
| Version | Pixtral Large | Grok 4.20 Multi-Agent |
| Lifecycle | deprecated | preview |
| Released | 2024-11-18 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 1,000K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | No | Yes |
| Self-hostable | No | No |
| Provider access | Unknown | Xai (Standard) |
| Capabilities | chat, generation, structured_outputs, tools, vision | generation, reasoning, research, tools |
Pixtral Large Capabilities
Grok 4.20 Multi Agent Capabilities
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Primary Evidence
Sources and Freshness
Questions
Pixtral Large vs Grok 4.20 Multi Agent FAQs
Is Pixtral Large or Grok 4.20 Multi Agent better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Pixtral Large and Grok 4.20 Multi Agent, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Pixtral Large or Grok 4.20 Multi Agent?+
Only Grok 4.20 Multi Agent has a directly sourced input price: $1.25 per million tokens. Only Grok 4.20 Multi Agent has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, Pixtral Large or Grok 4.20 Multi Agent?+
Grok 4.20 Multi Agent has the larger sourced context window. Pixtral Large supports 131K and Grok 4.20 Multi Agent supports 1,000K.
Which performs better in benchmarks, Pixtral Large or Grok 4.20 Multi Agent?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Pixtral Large or Grok 4.20 Multi Agent be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Pixtral Large is not marked open weight; Grok 4.20 Multi Agent is not marked open weight.
Can Pixtral Large and Grok 4.20 Multi Agent understand images?+
Pixtral Large is documented with image input; Grok 4.20 Multi Agent is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Pixtral Large or Grok 4.20 Multi Agent?+
Neither has a larger sourced maximum output. Pixtral Large is — and Grok 4.20 Multi Agent is —.
Do Pixtral Large and Grok 4.20 Multi Agent support reasoning and tool use?+
Pixtral Large: tool calling and image input. Grok 4.20 Multi Agent: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Pixtral Large or Grok 4.20 Multi Agent?+
Pixtral Large has 0 sourced provider routes; Grok 4.20 Multi Agent has 1, so Grok 4.20 Multi Agent has broader tracked availability.
Which offers better value, Pixtral Large or Grok 4.20 Multi Agent?+
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.