Gemini Deep Research vs GPT-4.1 Mini

At a Glance

Compare
Gemini Deep ResearchGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.20Openrouter · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$0.80Openrouter · Sep 3, 2026
Context windowMaximum documented tokens1,049K1,048K
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 ResearchGPT-4.1 Mini
DeveloperGoogle DeepMindOpenAI
FamilyGemini AgentsGpt 4 1
ModelGemini Deep ResearchGPT-4.1 Mini
VersionGemini Deep ResearchGPT-4.1 Mini
Lifecyclepreviewactive
ReleasedUnknownUnknown
Knowledge cutoffUnknown2024-06-01
Input modalitiesText, Image, Video, Audio, DocumentText, Image
Output modalitiesText, ImageText
Context window1,049K1,048K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Openai (Standard), Openrouter (Standard)
Capabilitiesgeneration, reasoning, research, toolschat, generation, tools

Gemini Deep Research Capabilities

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

GPT-4.1 Mini Capabilities

chatgenerationtools
Serving providers2
Canonical IDopenai/gpt-4.1-mini

Primary Evidence

Sources and Freshness

Questions

Gemini Deep Research vs GPT-4.1 Mini FAQs

Is Gemini Deep Research or GPT-4.1 Mini better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini Deep Research and GPT-4.1 Mini, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini Deep Research or GPT-4.1 Mini?+

Only GPT-4.1 Mini has a directly sourced input price: $0.20 per million tokens. Only GPT-4.1 Mini has a directly sourced output price: $0.80 per million tokens.

Which has a larger context window, Gemini Deep Research or GPT-4.1 Mini?+

Gemini Deep Research has the larger sourced context window. Gemini Deep Research supports 1,049K and GPT-4.1 Mini supports 1,048K.

Which performs better in benchmarks, Gemini Deep Research or GPT-4.1 Mini?+

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 GPT-4.1 Mini be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini Deep Research is not marked open weight; GPT-4.1 Mini is not marked open weight.

Can Gemini Deep Research and GPT-4.1 Mini understand images?+

Gemini Deep Research is documented with image input; GPT-4.1 Mini is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini Deep Research or GPT-4.1 Mini?+

Gemini Deep Research has the larger sourced maximum output: Gemini Deep Research supports 66K and GPT-4.1 Mini supports 33K output tokens.

Do Gemini Deep Research and GPT-4.1 Mini support reasoning and tool use?+

Gemini Deep Research: reasoning, tool calling, and image input. GPT-4.1 Mini: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini Deep Research or GPT-4.1 Mini?+

Gemini Deep Research has 2 sourced provider routes; GPT-4.1 Mini has 2, a tie.

Which offers better value, Gemini Deep Research or GPT-4.1 Mini?+

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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