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Gemini 3.5 Flash vs Sonar Pro Search

Gemini 3.5 Flash costs 1.7x less per output token than Sonar Pro Search ($9.00 vs $15.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
Sonar Pro SearchPerplexity
Coding
No data
Overall
No data
Output $/M
$15.00
vs $9.00 vs $15.00 per 1M output tokens. Gemini 3.5 Flash is 1.7x cheaper.

Gemini 3.5 Flash or Sonar Pro Search: which to pick

Only Gemini 3.5 Flash has a coding score, 39.8 on the Vibe Coding Index; Sonar Pro Search has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

No benchmark has tested both yet. Gemini 3.5 Flash has results on LMArena WebDev, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI); Sonar Pro Search has none yet. Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 3.5 Flash 39.8 from 4 benchmarks, Sonar Pro Search not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Gemini 3.5 Flash $9.00 against Sonar Pro Search $15.00 per million output tokens, 1.7x apart.
Context window
Gemini 3.5 Flash takes 1.05M tokens, Sonar Pro Search 200K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index19 boards measured
Coding benchmarks for Gemini 3.5 Flash and Sonar Pro Search
BenchmarkGemini 3.5 FlashSonar Pro SearchLeader
LMArena WebDev1499Not measuredOnly Gemini 3.5 Flash measured
LiveCodeBench (Vals AI)87.6%Not measuredOnly Gemini 3.5 Flash measured
SWE-bench Verified (Vals AI)78.8%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)48.7%Not measuredOnly Gemini 3.5 Flash measured
Code migration (Vals AI)26.8%Not measuredOnly Gemini 3.5 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%Not measuredOnly Gemini 3.5 Flash measured
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
SciCode53.9%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.0Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: coding1493Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: software and IT1494Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: React1495Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: HTML1522Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: from an image1504Not measuredOnly Gemini 3.5 Flash measured
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 20 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Gemini 3.5 Flash and Sonar Pro Search
BenchmarkGemini 3.5 FlashSonar Pro SearchLeader
AA Intelligence Index33.6Not measuredOnly Gemini 3.5 Flash measured
Epoch Capabilities Index154.9Not measuredOnly Gemini 3.5 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards measured
Agentic work benchmarks for Gemini 3.5 Flash and Sonar Pro Search
BenchmarkGemini 3.5 FlashSonar Pro SearchLeader
Design Arena: agents building web apps1202Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps1197Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building mobile apps1174Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1184Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1142Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1179Not measuredOnly Gemini 3.5 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly Gemini 3.5 Flash measured
Tax Agent Bench (Vals AI)21.6%Not measuredOnly Gemini 3.5 Flash measured
Legal Research Bench (Vals AI)30.8%Not measuredOnly Gemini 3.5 Flash measured
Excel Modeling Benchmark (Vals AI)63.5%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 25 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards measured
Reasoning benchmarks for Gemini 3.5 Flash and Sonar Pro Search
BenchmarkGemini 3.5 FlashSonar Pro SearchLeader
GPQA Diamond92.7%Not measuredOnly Gemini 3.5 Flash measured
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%Not measuredOnly Gemini 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)42.7%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Epoch AI run)92.8%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI92.5%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI-272.1%Not measuredOnly Gemini 3.5 Flash measured
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%Not measuredOnly Gemini 3.5 Flash measured
Mystery game puzzles32.0%Not measuredOnly Gemini 3.5 Flash measured
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts1488Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: expert1495Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts in English1483Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: diagrams1323Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: homework1330Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Math benchmarks for Gemini 3.5 Flash and Sonar Pro Search
BenchmarkGemini 3.5 FlashSonar Pro SearchLeader
OTIS Mock AIME95.6%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tiers 1 to 362.8%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: math1504Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: mathematical work1495Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards measured
Knowledge benchmarks for Gemini 3.5 Flash and Sonar Pro Search
BenchmarkGemini 3.5 FlashSonar Pro SearchLeader
MMLU Pro89.5%Not measuredOnly Gemini 3.5 Flash measured
LegalBench (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash measured
CorpFin (Vals AI)64.7%Not measuredOnly Gemini 3.5 Flash measured
TaxEval (Vals AI)74.4%Not measuredOnly Gemini 3.5 Flash measured
MortgageTax (Vals AI)68.1%Not measuredOnly Gemini 3.5 Flash measured
MedCode (Vals AI)55.8%Not measuredOnly Gemini 3.5 Flash measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science1495Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: medicine and healthcare1483Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: legal and government1488Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: business and finance1467Not measuredOnly Gemini 3.5 Flash measured
FACTS Benchmark Suite63.1%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for Gemini 3.5 Flash and Sonar Pro Search
BenchmarkGemini 3.5 FlashSonar Pro SearchLeader
Design Arena: websites1268Not measuredOnly Gemini 3.5 Flash measured
Design Arena: UI components1273Not measuredOnly Gemini 3.5 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.5 Flash measured
Design Arena: data viz1236Not measuredOnly Gemini 3.5 Flash measured
Design Arena: 3D1244Not measuredOnly Gemini 3.5 Flash measured
Design Arena: all code categories1266Not measuredOnly Gemini 3.5 Flash measured
Design Arena: SVG1254Not measuredOnly Gemini 3.5 Flash measured
Design Arena: ASCII art1254Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index33 boards measured
General benchmarks for Gemini 3.5 Flash and Sonar Pro Search
BenchmarkGemini 3.5 FlashSonar Pro SearchLeader
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%Not measuredOnly Gemini 3.5 Flash measured
MedScribe (Vals AI)76.6%Not measuredOnly Gemini 3.5 Flash measured
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%Not measuredOnly Gemini 3.5 Flash measured
DTBench94.7%Not measuredOnly Gemini 3.5 Flash measured
LMCA47.1%Not measuredOnly Gemini 3.5 Flash measured
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text1482Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: instruction following1467Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: creative writing1470Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision1308Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: English1481Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: non-English1475Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Chinese1527Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: German1494Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Japanese1486Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Korean1448Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: French1490Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Spanish1480Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Russian1493Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Polish1516Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: multi-turn1481Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: longer queries1483Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: writing and language1478Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: entertainment and media1459Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: English1305Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: Chinese1377Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: reading text1317Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: humor1321Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: creative writing1301Not measuredOnly Gemini 3.5 Flash measured
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 13 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.5 Flash$0.0060Fits in one request
Sonar Pro Search$0.011Fits in one request

Gemini 3.5 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
Sonar Pro Search$0.195Fits in one request

Gemini 3.5 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
Sonar Pro Search$0.750Exceeds the context window

Gemini 3.5 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.5 Flash and Sonar Pro Search
SpecificationGoogle Gemini 3.5 FlashPerplexity Sonar Pro Search
MakerGooglePerplexity
WeightsNo public weights listedNo public weights listed
ReleasedMay 19, 2026October 30, 2025
Context window1.05M200K
Input $/Mtok$1.50$3.00
Output $/Mtok$9.00$15.00
Coding index39.8Not benchmarked
Independent measurements behind it40
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Sonar Pro Search for coding?

Only Gemini 3.5 Flash has a coding score, 39.8 on the Vibe Coding Index; Sonar Pro Search has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Gemini 3.5 Flash or Sonar Pro Search?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Sonar Pro Search costs $3.00 and $15.00. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Gemini 3.5 Flash or Sonar Pro Search?

Gemini 3.5 Flash, with 1.05M tokens against 200K.

Has any benchmark tested both Gemini 3.5 Flash and Sonar Pro Search?

No benchmark has tested both yet. Gemini 3.5 Flash has results on LMArena WebDev, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI); Sonar Pro Search has none yet. Compare them on price and context instead. Data as of October 21, 2026.

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