Gemini 3.8 Flash vs Sonar Pro

At a Glance

Compare
Gemini 3.8 FlashGoogle DeepMind
Sonar ProPerplexity
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#8 of 4682.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 54.7–88.0UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#26 of 44$0.160 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#8 of 3860.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.7–63.4UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.75Google AI · Sep 2, 2026$3.00Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$3.75Google AI · Sep 2, 2026$15.00Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,049K200K
Model facts checkedSep 2, 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 3.8 FlashSonar Pro
DeveloperGoogle DeepMindPerplexity
FamilyGemini 3Sonar
ModelGemini 3.8 FlashSonar Pro
VersionGemini 3.8 FlashSonar Pro
Lifecycleactiveactive
Released2026-09-02Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText
Output modalitiesTextText
Context window1,049K200K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Openrouter (Standard), Perplexity (Standard)
Capabilitieschat, code_execution, computer_use, generation, reasoning, structured_outputs, toolschat, citations, search

Gemini 3.8 Flash Capabilities

chatcode executioncomputer usegenerationreasoningstructured outputstools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.8-flash

Sonar Pro Capabilities

chatcitationssearch
Serving providers2
Canonical IDperplexity/sonar-pro

Primary Evidence

Sources and Freshness

Questions

Gemini 3.8 Flash vs Sonar Pro FAQs

Is Gemini 3.8 Flash or Sonar Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash and Sonar Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.8 Flash or Sonar Pro?+

Gemini 3.8 Flash is $0.75 and Sonar Pro is $3.00 per million tokens, so Gemini 3.8 Flash is cheaper on this metric. Gemini 3.8 Flash is $3.75 and Sonar Pro is $15.00 per million tokens, so Gemini 3.8 Flash is cheaper on this metric.

Which has a larger context window, Gemini 3.8 Flash or Sonar Pro?+

Gemini 3.8 Flash has the larger sourced context window. Gemini 3.8 Flash supports 1,049K and Sonar Pro supports 200K.

Which performs better in benchmarks, Gemini 3.8 Flash or Sonar Pro?+

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

Can Gemini 3.8 Flash or Sonar Pro be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3.8 Flash is not marked open weight; Sonar Pro is not marked open weight.

Can Gemini 3.8 Flash and Sonar Pro understand images?+

Gemini 3.8 Flash is documented with image input; Sonar Pro is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.8 Flash or Sonar Pro?+

Neither has a larger sourced maximum output. Gemini 3.8 Flash is 66K and Sonar Pro is —.

Do Gemini 3.8 Flash and Sonar Pro support reasoning and tool use?+

Gemini 3.8 Flash: reasoning, tool calling, and image input. Sonar Pro: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.8 Flash or Sonar Pro?+

Gemini 3.8 Flash has 2 sourced provider routes; Sonar Pro has 2, a tie.

Which offers better value, Gemini 3.8 Flash or Sonar Pro?+

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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