Gemini 3.1 Pro vs Pixtral Large
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemini 3.1 Pro | Pixtral Large |
|---|---|---|
| Developer | Google DeepMind | Mistral AI |
| Family | Gemini 3 | Pixtral Large |
| Model | Gemini 3.1 Pro | Pixtral Large |
| Version | Gemini 3.1 Pro | Pixtral Large |
| Lifecycle | preview | deprecated |
| Released | Unknown | 2024-11-18 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Document |
| Output modalities | Text | Text |
| Context window | 1,048,576 | 131,072 |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | No |
| Self-hostable | No | No |
| Provider access | Google AI (Standard) | Mistral AI (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, structured_outputs, tools, vision |
13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Gemini 3.1 Pro Capabilities
Pixtral Large Capabilities
Internal Comparison Graph
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| vs | Pixtral LargeMistral AI | cross-developer peersimage, text | |
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs Pixtral Large FAQs
Is Gemini 3.1 Pro or Pixtral Large better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and Pixtral Large, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.1 Pro or Pixtral Large?+
Only Gemini 3.1 Pro has a directly sourced input price: $2.00 per million tokens. Only Gemini 3.1 Pro has a directly sourced output price: $12.00 per million tokens.
Which has a larger context window, Gemini 3.1 Pro or Pixtral Large?+
Gemini 3.1 Pro has the larger sourced context window. Gemini 3.1 Pro supports 1,048,576 and Pixtral Large supports 131,072.
Which performs better in benchmarks, Gemini 3.1 Pro or Pixtral Large?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.1 Pro or Pixtral Large be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.1 Pro is not marked open weight; Pixtral Large is not marked open weight.
Can Gemini 3.1 Pro and Pixtral Large understand images?+
Gemini 3.1 Pro 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, Gemini 3.1 Pro or Pixtral Large?+
Neither has a larger sourced maximum output. Gemini 3.1 Pro is 65,536 and Pixtral Large is —.
Do Gemini 3.1 Pro and Pixtral Large support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, 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, Gemini 3.1 Pro or Pixtral Large?+
Gemini 3.1 Pro has 1 sourced provider route; Pixtral Large has 1, a tie.
Which offers better value, Gemini 3.1 Pro 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.