Mistral Large 3 vs Pixtral Large
At a Glance
| Compare |  Mistral Large 3Mistral AI | Pixtral LargeMistral AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #28 of 5743.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 14.3–81.0 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.25Openrouter ↗ · Oct 19, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.75Openrouter ↗ · Oct 19, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | 131K |
| 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 | Mistral Large 3 | Pixtral Large |
|---|---|---|
| Developer | Mistral AI | Mistral AI |
| Family | Mistral Large 3 | Pixtral Large |
| Model | Mistral Large 3 | Pixtral Large |
| Version | Mistral Large 3 | Pixtral Large |
| Lifecycle | active | deprecated |
| Released | 2025-12-02 | 2024-11-18 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Document | Text, Image, Document |
| Output modalities | Text | Text |
| Context window | 262K | 131K |
| Total parameters | 675B | Unknown |
| Active parameters | 41B | Unknown |
| License | Apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | No |
| Self-hostable | Yes | No |
| Provider access | Mistral AI (Standard), Openrouter (Standard) | Unknown |
| Capabilities | agents, chat, generation, structured_outputs, tools, vision | chat, generation, structured_outputs, tools, vision |
Mistral Large 3 Capabilities
Pixtral Large Capabilities
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Primary Evidence
Sources and Freshness
Questions
Mistral Large 3 vs Pixtral Large FAQs
Is Mistral Large 3 or Pixtral Large better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Large 3 and Pixtral Large, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Mistral Large 3 or Pixtral Large?+
Only Mistral Large 3 has a directly sourced input price: $0.25 per million tokens. Only Mistral Large 3 has a directly sourced output price: $0.75 per million tokens.
Which has a larger context window, Mistral Large 3 or Pixtral Large?+
Mistral Large 3 has the larger sourced context window. Mistral Large 3 supports 262,144 tokens and Pixtral Large supports 131,072 tokens.
Which performs better in benchmarks, Mistral Large 3 or Pixtral Large?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Mistral Large 3 or Pixtral Large be self-hosted?+
Mistral Large 3 is documented as self-hostable; Pixtral Large is documented as not self-hostable. Mistral Large 3 is open weight; Pixtral Large is not marked open weight.
Can Mistral Large 3 and Pixtral Large understand images?+
Mistral Large 3 is documented with image input; Pixtral Large is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Mistral Large 3 or Pixtral Large?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Mistral Large 3 and Pixtral Large support reasoning and tool use?+
Mistral Large 3: tool calling and image input. Pixtral Large: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral Large 3 or Pixtral Large?+
Mistral Large 3 has 2 sourced provider routes; Pixtral Large has 0, so Mistral Large 3 has broader tracked availability.
Which offers better value, Mistral Large 3 or Pixtral Large?+
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.