Gemini Deep Research vs Mistral Large 3

At a Glance

Compare
Gemini Deep ResearchGoogle DeepMind
Mistral Large 3Mistral AI
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.25Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$0.75Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,049K262K
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 Deep ResearchMistral Large 3
DeveloperGoogle DeepMindMistral AI
FamilyGemini AgentsMistral Large 3
ModelGemini Deep ResearchMistral Large 3
VersionGemini Deep ResearchMistral Large 3
Lifecyclepreviewactive
ReleasedUnknown2025-12-02
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image, Document
Output modalitiesText, ImageText
Context window1,049K262K
Total parametersUnknown675B
Active parametersUnknown41B
LicenseUnknownApache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Mistral AI (Standard), Openrouter (Standard)
Capabilitiesgeneration, reasoning, research, toolsagents, chat, generation, structured_outputs, tools, vision

Gemini Deep Research Capabilities

generationreasoningresearchtools
Serving providers2
Canonical IDgoogle-deepmind/deep-research-preview-04-2026

Mistral Large 3 Capabilities

agentschatgenerationstructured outputstoolsvision
Serving providers2
Canonical IDmistralai/mistral-large-2512

Primary Evidence

Sources and Freshness

Questions

Gemini Deep Research vs Mistral Large 3 FAQs

Is Gemini Deep Research or Mistral Large 3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini Deep Research and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini Deep Research or Mistral Large 3?+

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, Gemini Deep Research or Mistral Large 3?+

Gemini Deep Research has the larger sourced context window. Gemini Deep Research supports 1,049K and Mistral Large 3 supports 262K.

Which performs better in benchmarks, Gemini Deep Research or Mistral Large 3?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Gemini Deep Research or Mistral Large 3 be self-hosted?+

Mistral Large 3 is the only model in this pair currently marked as self-hostable. Gemini Deep Research is not marked open weight; Mistral Large 3 is open weight.

Can Gemini Deep Research and Mistral Large 3 understand images?+

Gemini Deep Research is documented with image input; Mistral Large 3 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini Deep Research or Mistral Large 3?+

Neither has a larger sourced maximum output. Gemini Deep Research is 66K and Mistral Large 3 is —.

Do Gemini Deep Research and Mistral Large 3 support reasoning and tool use?+

Gemini Deep Research: reasoning, tool calling, and image input. Mistral Large 3: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini Deep Research or Mistral Large 3?+

Gemini Deep Research has 2 sourced provider routes; Mistral Large 3 has 2, a tie.

Which offers better value, Gemini Deep Research or Mistral Large 3?+

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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