Gemini 3.1 Pro vs Pixtral Large

At a Glance

Compare
Gemini 3.1 ProGoogle DeepMind
Pixtral LargeMistral AI
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4#9 of 5782.1 score · 3/3 sources · completeUnrankedNot in the 57-model eligible cohort
CostLower is better · Published-token output estimate#18 of 27$0.161 per LiveBench caseUnrankedNot in the 27-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.9#8 of 2754.6 score · 3/3 sources · completeUnrankedNot in the 27-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Google AI ↗ · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$12.00Google AI ↗ · Aug 29, 2026Not reported
Context windowMaximum documented tokens1,049K131K
Model facts checkedAug 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGemini 3.1 ProPixtral Large
DeveloperGoogle DeepMindMistral AI
FamilyGemini 3Pixtral Large
ModelGemini 3.1 ProPixtral Large
VersionGemini 3.1 ProPixtral Large
Lifecyclepreviewdeprecated
ReleasedUnknown2024-11-18
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image, Document
Output modalitiesTextText
Context window1,049K131K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesNo
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Unknown
Capabilitieschat, generation, reasoning, toolschat, generation, structured_outputs, tools, vision

Gemini 3.1 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.1-pro-preview

Pixtral Large Capabilities

chatgenerationstructured outputstoolsvision
Serving providers0
Canonical IDmistralai/pixtral-large-2411

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 tokens and Pixtral Large supports 131,072 tokens.

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 sourced 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?+

Gemini 3.1 Pro has a sourced maximum output of 65,536 tokens; Pixtral Large's maximum output is not reported. A larger limit cannot be determined.

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 2 sourced provider routes; Pixtral Large has 0, so Gemini 3.1 Pro has broader tracked availability.

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.

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