Gemini 2.5 Flash vs Phi-4 Reasoning

At a Glance

Compare
Gemini 2.5 FlashGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.30Google AI · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$2.50Google AI · Aug 29, 2026Not reported
Context windowMaximum documented tokens1,049K33K
Model facts checkedAug 29, 2026View model evidence →Aug 28, 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 2.5 FlashPhi-4-reasoning
DeveloperGoogle DeepMindMicrosoft
FamilyGemini 2 5Phi 4 Reasoning
ModelGemini 2.5 FlashPhi-4-reasoning
VersionGemini 2.5 FlashPhi-4-reasoning
Lifecycleactiveactive
ReleasedUnknown2025-04-30
Knowledge cutoff2025-01-01Unknown
Input modalitiesText, Image, Video, AudioText
Output modalitiesTextText
Context window1,049K33K
Total parametersUnknown14.7B
Active parametersUnknownUnknown
LicenseUnknownmit
Open weightsNoYes
API availableYesUnknown
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Unknown
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning

Gemini 2.5 Flash Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-flash

Phi-4 Reasoning Capabilities

chatgenerationreasoning
Serving providers0
Canonical IDmicrosoft/Phi-4-reasoning

Primary Evidence

Sources and Freshness

Questions

Gemini 2.5 Flash vs Phi-4 Reasoning FAQs

Is Gemini 2.5 Flash or Phi-4 Reasoning better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Flash and Phi-4 Reasoning, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 2.5 Flash or Phi-4 Reasoning?+

Only Gemini 2.5 Flash has a directly sourced input price: $0.30 per million tokens. Only Gemini 2.5 Flash has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, Gemini 2.5 Flash or Phi-4 Reasoning?+

Gemini 2.5 Flash has the larger sourced context window. Gemini 2.5 Flash supports 1,049K and Phi-4 Reasoning supports 33K.

Which performs better in benchmarks, Gemini 2.5 Flash or Phi-4 Reasoning?+

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

Can Gemini 2.5 Flash or Phi-4 Reasoning be self-hosted?+

Phi-4 Reasoning is the only model in this pair currently marked as self-hostable. Gemini 2.5 Flash is not marked open weight; Phi-4 Reasoning is open weight.

Can Gemini 2.5 Flash and Phi-4 Reasoning understand images?+

Gemini 2.5 Flash is documented with image input; Phi-4 Reasoning is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 2.5 Flash or Phi-4 Reasoning?+

Neither has a larger sourced maximum output. Gemini 2.5 Flash is 66K and Phi-4 Reasoning is —.

Do Gemini 2.5 Flash and Phi-4 Reasoning support reasoning and tool use?+

Gemini 2.5 Flash: reasoning, tool calling, and image input. Phi-4 Reasoning: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 2.5 Flash or Phi-4 Reasoning?+

Gemini 2.5 Flash has 2 sourced provider routes; Phi-4 Reasoning has 0, so Gemini 2.5 Flash has broader tracked availability.

Which offers better value, Gemini 2.5 Flash or Phi-4 Reasoning?+

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.

Send Feedback